Top 10 Tools to Enhance Developer Experience of mixed US and Nearshore Software Development Teams 

Top 10 Tools to Enhance Developer Experience of mixed US and Nearshore Software Development Teams 

Written by: Rod Aburto – 

Top 10 Tools to Enhance Developer Experience of mixed US and Nearshore Software Development Teams

Creating an exceptional Developer Experience (DX) is crucial for any successful project, especially when managing a cross-border development team that combines US-based developers with nearshore talent from Mexico and Latin America. Seamless communication, collaboration, and productivity are essential to keep both teams aligned and engaged. The right tools can bridge gaps, eliminate inefficiencies, and foster a collaborative work culture.

Here’s a list of the top 10 tools that can significantly enhance DX for US and nearshore development teams, along with why they make a difference. I know the list mentions pretty well known tools, but depending on your team’s maturity, you’ll find one or two that you are still not using and that I hope you’ll find useful.

1. Slack: For Real-Time Communication

Slack is a widely-used team communication tool that supports real-time messaging, video calls, and integrations with other software.

  • Why it helps: Enables developers to discuss issues, share updates, and collaborate without the delay of email. Its customizable notifications and channels also keep discussions organized and accessible.
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2. Zoom: For Video Conferencing

Zoom provides high-quality video calls and screen sharing for virtual meetings.

  • Why it helps: Allows seamless communication between US and nearshore teams, ensuring clarity during sprint planning, retrospectives, or ad hoc problem-solving sessions.
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3. Jira: For Agile Project Management

Jira is a go-to tool for tracking issues, managing sprints, and visualizing workflows in agile teams.

  • Why it helps: Centralizes project management, helping US and nearshore developers stay aligned on task priorities, deadlines, and progress.
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4. GitHub: For Version Control and Collaboration

GitHub is a platform for managing code repositories and fostering collaborative development.

  • Why it helps: Facilitates code reviews, pull requests, and version tracking, making it easier for geographically distributed teams to collaborate on the same codebase.
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5. Notion: For Documentation and Collaboration

Notion serves as an all-in-one workspace for notes, documentation, and team wikis.

  • Why it helps: Keeps everyone on the same page by centralizing documentation, enabling both US and nearshore teams to easily access guidelines, APIs, and best practices.

6. Postman: For API Development

Postman is a tool for testing and documenting APIs.

  • Why it helps: Simplifies API collaboration, allowing developers to share requests and responses with team members, speeding up backend/frontend integration.

7. CircleCI: For Continuous Integration and Deployment (CI/CD)

CircleCI automates build, test, and deployment pipelines.

  • Why it helps: Enhances productivity by automating repetitive tasks, enabling developers to focus on coding instead of manual deployments, and ensures quality consistency.

8. Trello: For Lightweight Task Management

Trello uses boards, lists, and cards to visually manage tasks.

  • Why it helps: Provides a simple way to track smaller projects or sub-tasks, keeping teams on the same page without overwhelming them with features.

9. Figma: For Design Collaboration

Figma is a web-based design tool that allows real-time collaboration.

  • Why it helps: Enables designers and developers to work together seamlessly, making UI/UX handoffs smoother and aligning frontend development with design goals.

10. Clockify: For Time Tracking

Clockify is a time-tracking tool that helps teams monitor work hours and productivity.

  • Why it helps: Offers transparency across distributed teams, helping managers understand workload distribution and ensuring fair allocation of tasks between US and nearshore teams.
How These Tools Enhance DX

How These Tools Enhance DX

  • Efficiency: Automating workflows with tools like CircleCI and Jira minimizes time spent on repetitive tasks.
  • Collaboration: Slack, Zoom, and GitHub ensure that all team members—regardless of location—are aligned and can easily collaborate.
  • Transparency: Tools like Clockify and Notion foster openness, ensuring everyone has access to the information they need to succeed.
  • Consistency: With centralized project management and documentation, teams maintain high-quality output and reduce miscommunication.
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Conclusion

Combining US-based developers with nearshore teams in Mexico and LATAM can lead to remarkable results, but only if the Developer Experience is optimized. Using the right tools ensures seamless communication, efficient workflows, and engaged developers who are set up for success. By integrating these 10 tools into your workflow, you’ll not only enhance DX but also empower your team to deliver their best work.

What tools do you use to enhance DX in your distributed teams? Share your thoughts and suggestions in the comments!

Rod Aburto - Senior Partner

Rod Aburto

Senior Partner

How to Open a Captive Nearshore Software Engineering Center 

How to Open a Captive Nearshore Software Engineering Center 

Written by: Luis Aburto – 

How to Open a Captive Nearshore Software Engineering Center

Companies that depend on proprietary software to provide their products and services are constantly looking for ways to scale their software development capabilities efficiently. For many companies, the idea of establishing a captive nearshore software engineering center in Mexico offers compelling benefits—proximity, cultural alignment, cost savings, and access to a deep talent pool.

This guide covers the considerations, steps, costs, and risks of establishing a nearshore captive operation in Mexico. While the general process applies across Latin America, specific legal, tax, and labor regulations must be adapted to each country.

Why Choose Nearshore and Mexico?

When companies evaluate options for scaling their software development capacity, the decision often boils down to three primary models: onshore, offshore, or nearshore development. While each has its merits, nearshore stands out for companies prioritizing real-time collaboration, cultural alignment, and cost-effectiveness.

How Companies Typically Reach This Decision

How Companies Typically Reach This Decision

The choice to go nearshore—and specifically to Mexico—often follows an in-depth evaluation process. Key considerations include:

Challenges with Onshore Development

  • Talent Shortages: The U.S. labor market for software developers is highly competitive, with prolonged hiring cycles and escalating salary demands. In large cities and key tech hubs, hiring challenges often lead to project delays and higher operational costs.
  • Cost Constraints: U.S. developers command salaries and benefits that are often unsustainable for scaling teams, particularly for companies that are balancing growth and efficiency.
  • Retention Risks: High employee turnover and stiff competition from larger enterprises create challenges in maintaining team continuity.

Concerns with Offshore Outsourcing

  • Time Zone Differences: Offshore locations, such as India or Southeast Asia, operate in time zones with limited overlap with U.S. working hours, making real-time collaboration difficult.
  • Communication Barriers: Variances in language proficiency and cultural norms can slow down progress, especially in agile environments requiring frequent team interactions.
  • Integration Difficulties: Offshore teams can feel disconnected, leading to lower alignment with company goals and challenges in integrating into the core business culture.

Why Nearshore Emerges as the Best Option

  • Geographic Proximity: Nearshore destinations like Mexico are in the same or overlapping time zones as the U.S., enabling seamless collaboration. Teams can participate in real-time meetings, work on tight deadlines, and respond promptly to issues.
  • Cultural Alignment: Shared cultural influences between the U.S. and Mexico, bolstered by long-standing business ties, foster smoother communication and team integration.
  • Cost-Effectiveness: Nearshore operations provide significant cost savings compared to U.S.-based teams, while avoiding the lowest-cost, high-risk compromises of offshore locations. Labor costs in Mexico, for example, are typically 20–40% lower than in the U.S., without sacrificing quality.
  • Ease of Travel: Mexico’s proximity allows for frequent in-person visits, which are critical during the setup phase of a captive operation or during major project milestones. Direct flights to most major Mexican cities from U.S. hubs add to this convenience.
How to Open a Captive Nearshore Software Engineering Center

Why Mexico Specifically?

Mexico has emerged as a preferred nearshore destination for the following compelling reasons:

Legal and Economic Stability under the USMCA

The United States-Mexico-Canada Agreement (USMCA) offers a framework for strong legal protections and trade advantages. Companies feel secure knowing that their operations in Mexico are safeguarded by a predictable legal and economic environment. This includes robust IP protection, which is critical for companies building proprietary software.

Deep and Growing Talent Pool

Mexico has one of the largest IT talent pools in Latin America, with approximately 800,000 IT professionals, including engineers with expertise in modern technologies such as artificial intelligence, machine learning, and cloud computing.

  • Education Strengths: The country’s universities produce tens of thousands of STEM graduates annually, ensuring a steady supply of skilled developers.
  • Bilingual Workforce: Most Mexican developers are fluent in English, which is often taught as a second language in higher education institutions, making communication with U.S. teams easier.

Established Tech Ecosystem

Mexico has a thriving technology ecosystem supported by government incentives and global investments. Large cities such as Guadalajara, Monterrey, and Mexico City are recognized as tech hubs, offering a rich infrastructure and a vibrant developer community, while mid-size cities like Morelia, Colima and Mérida also offer access to experienced developers while offering excellent quality of life and less turnover.
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When Does a Captive Operation Make Economic Sense?

For smaller teams, outsourcing often provides the most cost-effective and flexible solution. However, as a company scales, the economics of outsourcing versus owning a captive operation shift.

A captive center becomes economically viable at around 40-50 full-time engineers, when the cumulative cost of outsourcing premiums begins to outweigh the higher setup and operational costs of a captive model.

Cost Comparison

  • Outsourcing: Outsourced developers often come with markups of 20–40% for vendor overhead, project management, and profit margins. For 50+ engineers, and over multiple years, these markups can exceed the initial setup costs of creating a captive center.
  • Captive Center: Operating costs, including salaries, office rent, and technology, are typically 20–30% lower than outsourcing rates. However, the initial setup costs (typically $200,000–$800,000) play a key role in determining when a captive center becomes cost-effective. These initial costs are fixed, so for smaller teams, they can outweigh the savings achieved by lower operating costs. However, as the team grows, these setup expenses are spread across more engineers, reducing the per-engineer cost, and making the captive model financially viable.

Key Indicators for Transition

  • Team Size: A stable team of 40-50+ engineers is a tipping point where long-term savings and operational control justify the upfront investment.
  • Long-Term Projects: Captive operations are ideal for companies with ongoing, multi-year development needs where team continuity and institutional knowledge are critical.
  • Cost Sensitivity: Companies aiming to reduce vendor markups and maintain direct control over budgeting can benefit from captives.
  • Strategic Control: Captives offer tighter integration with in-house teams, which is crucial for proprietary projects or sensitive IP.
Steps to Opening a Captive Center

Steps to Opening a Captive Center

Assess Feasibility

A captive center requires a sustained workload, cost efficiency, and a strategic focus on control. Typical triggers for such an initiative include high outsourcing costs, scaling challenges, an aggressive multi-year software development roadmap or the need for greater intellectual property (IP) security.

Define Objectives

Clearly articulate why the captive model fits your long-term goals. Are you looking for cost savings, strategic control, or scaling capabilities? These objectives will shape your approach.

Select Location

Major cities such as Mexico City, Guadalajara, and Monterrey offer the largest talent pools but also face intense competition for skilled professionals. Mid-sized cities like Mérida, Colima, and Morelia strike a good balance, combining access to experienced talent with lower competition. So, when choosing a location for your captive nearshore software development center, evaluate the following factors to ensure operational success:

  • IT Talent: Choose cities with a strong talent pool and competitive advantage in tech skills.
  • Educational Institutions: Target cities with universities offering strong STEM programs to provide a pipeline of skilled graduates.
  • Talent Competition: Assess local job market conditions to avoid high competition that may drive up recruitment costs or promote high turnover.
  • Infrastructure and Business Ecosystem: Consider the city’s infrastructure, cost of living, and overall business environment to ensure efficient operations and talent retention.

Legal and Administrative Setup

Register a legal entity in Mexico. To do so, follow these steps:

  • Choose the Appropriate Legal Structure: Decide on the type of entity that fits your business objectives. Common options include a Stock Corporation (S.A. de C.V.) for larger operations or a Limited Liability Company (S. de R.L. de C.V.) for smaller to medium-sized businesses.
  • Reserve a Company Name: Submit up to five potential names to the Ministry of Economy for approval.
  • Draft a Power of Attorney (POA): Authorize a legal representative in Mexico to act on your behalf during the incorporation process. This may require notarized and apostilled documents for each shareholder.
  • Prepare and Approve Company Bylaws: Define the company’s purpose, operational guidelines, share capital, and management structure, ensuring compliance with Mexican law. Translate these bylaws into Spanish by an official translator. The signing of the approval of the Bylaws needs to happen in front of a Mexican Public Notary.
  • Obtain a Tax Identification Number (RFC): Register with the Tax Administration Service (SAT) to secure an RFC, necessary for tax and financial transactions.
  • Open a Corporate Bank Account: Use the Bylaws, RFC and registration documents to set up a bank account in Mexico to pay for payroll and operational expenses.
  • Comply with Additional Registrations: Depending on your business, register with authorities such as the Mexican Social Security Institute (IMSS) and the National Institute of Statistics and Geography (INEGI), as well as the corresponding State and Municipal authorities.

Talent Acquisition

Hire an HR team or collaborate with local experts to effectively navigate Mexico’s competitive IT labor market. After building your team, set up HR administration processes to register employees with the required government agencies, such as the IMSS, and ensure contributions to homeowners’ savings and retirement accounts are managed appropriately.

Operational Setup

  • Secure office space and set up IT infrastructure.
  • Budget for technology tools, furniture, and compliance costs.
  • Hire experienced managers and supervisors to oversee the center’s setup and operations, ensuring efficient management of administrative tasks, employee motivation and retention, and software development activities.

Manage Risks

Common risks include talent retention challenges, cultural integration issues, and unforeseen operational costs. Mitigation strategies include strong local management, robust HR practices, and contingency planning.

Considerations for Captive Center Success 

Considerations for Captive Center Success 

While a captive center offers control and long-term cost savings, it comes with notable risks that require careful management:

1. High Turnover

Competitive job markets in Mexico mean that retaining top talent can be challenging. High turnover rates can disrupt productivity and increase recruitment costs.

2. Operational Complexity

Managing a captive center requires expertise in compliance, local labor laws, and cross-border operations. For companies without this experience, navigating these complexities can strain resources.

3. Scalability Issues

Rapid growth or changing project demands may outpace the captive center’s capacity, leading to inefficiencies or delays.

4. Cultural and Communication Gaps

Cultural differences, even in a nearshore context, can create alignment issues. Effective communication processes are critical to avoid misunderstandings and ensure team integration.

5. Upfront and Long-Term Commitments

The significant initial investment and operational requirements of a captive center lock the company into a long-term model, reducing flexibility.

Understanding the Costs of Captive Centers

Understanding the Costs of Captive Centers

Upfront Costs

Setting up a captive center involves significant initial investment:

  • Legal and Administrative: $50,000–$100,000
  • Recruitment: $30,000–$100,000
  • Office Setup: $70,000–$400,000
  • Technology and Tools: $50,000–$200,000

Total initial costs typically range from $200,000 to $800,000, depending on the size of the operation.

Ongoing Costs

Ongoing Costs

Once operational, the captive center incurs monthly and annual expenses:

  • Salaries and Benefits: $160,000–$300,000/month for 40-50 engineers
  • Office Rent and Utilities: $10,000–$20,000/month
  • Technology and IT Maintenance: $5,000–$15,000/month
  • Management and Oversight: $15,000–$30,000/month

These costs scale with team size and the complexity of the operation, requiring careful budgeting and cost control.

Ongoing Costs<br />
Once operational, the captive center incurs monthly and annual expenses: </p>
<p>Salaries and Benefits: $160,000–$300,000/month for 40-50 engineers<br />
Office Rent and Utilities: $10,000–$20,000/month<br />
Technology and IT Maintenance: $5,000–$15,000/month<br />
Management and Oversight: $15,000–$30,000/month<br />
These costs scale with team size and the complexity of the operation, requiring careful budgeting and cost control.

An Alternative Path: Flexible BOT

For companies hesitant to commit to a full captive setup, the Flexible Build-Operate-Transfer (BOT) model, like the one offered by Scio, provides a strategic alternative. In this model, Scio handles recruitment, operations, and compliance during the initial stages, with the possibility of transferring ownership once the operation is stable and reaches the required scale.

Benefits of BOT

  • Lower Risk: Leverage Scio’s established expertise to avoid the complexities of setting up a nearshore operation. You will not have to worry about the intricacies of local laws, recruitment challenges, or the significant costs involved in infrastructure and office setup. Scio already has the systems, local knowledge, and operational framework in place, enabling a smooth and efficient ramp-up. This enables you to focus on core priorities while Scio manages the setup and operations, ensuring a quicker, smoother, and lower-risk entry to utilizing nearshore talent.
  • Cost Efficiency: This model incurs little to no upfront costs, as the nearshore engineering team can take advantage of Scio’s established infrastructure and capabilities, reducing the need for significant capital investment.
  • Faster Scalability: Immediate access to talent and infrastructure accelerates productivity.
  • Flexibility: Transfer ownership when you reach the desired scale and maturity.
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How Flexible BOT Works

  • Build: We use our existing facilities to set up your operation. We manage the recruitment and onboarding of top talent, configure infrastructure, ensure regulatory compliance, and conduct a joint onboarding process to integrate the team smoothly into your software development workflow.
  • Operate: We manage all administrative operations, performance tracking, professional development, and continuous improvement, while your engineering leaders focus on managing priorities and task assignments. We guarantee seamless integration with your team and processes, consistently meeting your standards through a customized blend of coaching, mentoring, and training, all delivered in close coordination with you.
  • (Optional) Transfer: At your discretion, we initiate a seamless handover process, which may include setting up new facilities and infrastructure, establishing a local legal entity if needed, and transferring full operational control.

Choosing the Right Approach

While a captive operation offers control and long-term cost savings, a Flexible BOT model provides a safer, faster way to access nearshore talent. Companies can leverage BOT to validate the nearshore model before committing to a full captive setup, reducing risks, and optimizing resources.

Whether you are ready to open a captive center or want to explore the BOT model, understanding your goals, workload, and risk tolerance will help you make the best decision.

Scio can help you navigate this journey. With expertise in nearshore operations and the Flexible BOT model, we empower companies to scale confidently. Contact us to discuss your needs and chart the best path forward.

Luis Aburto_ CEO_Scio

Luis Aburto

CEO

Achieving a Great Developer Experience with Nearshore Teams 

Achieving a Great Developer Experience with Nearshore Teams 

Written by: Rod Aburto – 

Achieving a Great Developer Experience with Nearshore Teams

Developer Experience (DX) is becoming an essential focus for companies aiming to build high-performing, satisfied development teams. It’s no longer enough to ensure developers have the tools to do their jobs; creating an environment where they thrive, collaborate seamlessly, and feel valued is critical to project success. When your team combines US-based developers with a nearshore team from Mexico and Latin America, the potential for a great DX is immense—if approached with the right strategy.

Here’s what achieving a great Developer Experience means in a cross-border context and how you can make it a reality.

1. Foster Seamless Communication

When US and nearshore teams collaborate, time zone alignment is a natural advantage, but communication must go beyond scheduling meetings at convenient hours. Great DX starts with a culture of open, transparent, and respectful communication.

  • Use the right tools: Platforms like Slack, Zoom, and collaborative coding environments help bridge geographic divides.
  • Encourage direct communication: Empower developers from both teams to speak directly with each other, bypassing unnecessary bottlenecks.
  • Promote shared language skills: Nearshore teams in Mexico and LATAM often have strong English proficiency, making real-time collaboration easier. Ensure everyone feels comfortable expressing ideas and concerns.

When developers can communicate without barriers, misunderstandings decrease, and camaraderie flourishes—a key driver of great DX.

Build a Unified Culture

2. Build a Unified Culture

Great DX isn’t about where developers are located—it’s about how well they work together. A unified culture that aligns values, work ethics, and expectations can transform collaboration between US and nearshore teams.

  • Onboard together: Include both teams in the same onboarding processes to establish shared goals and values.
  • Celebrate diversity: Acknowledge and respect cultural differences while highlighting shared values like teamwork, innovation, and accountability.
  • Encourage team-building: Virtual team-building activities and in-person meetups (when possible) help break down silos and create a sense of belonging.

By integrating nearshore developers into the larger company culture, you create an inclusive environment where everyone feels valued and motivated to contribute.

3. Provide Equal Access to Tools and Processes

Nothing erodes DX faster than inequality in access to tools or knowledge. Developers need consistent resources to do their best work, regardless of location.

  • Ensure tooling parity: Both US and nearshore developers should have access to the same development environments, frameworks, and documentation.
  • Streamline workflows: Define clear, shared processes for code reviews, deployments, and issue tracking to avoid unnecessary friction.
  • Invest in developer support: Whether it’s mentoring, training opportunities, or technical assistance, ensure both teams have the support they need to succeed.

Equal access fosters fairness, enabling developers to focus on solving problems rather than navigating logistical challenges.

4. Emphasize Growth and Engagement

Developers thrive in environments where they feel challenged, engaged, and supported in their growth. Nearshore teams from Mexico and LATAM bring unique strengths and integrating them fully into the team provides opportunities for mutual learning and development.

  • Encourage knowledge sharing: Create opportunities for US and nearshore developers to exchange expertise, from pairing on code to hosting technical workshops.
  • Recognize contributions: Acknowledge the efforts of all team members, regardless of location, and celebrate achievements together.
  • Support career growth: Provide opportunities for professional development, such as certifications or leadership roles, for developers in both regions.

Focusing on growth ensures that developers remain invested in their work and in the team’s success.

Prioritize Work-Life Balance

5. Prioritize Work-Life Balance

Developers in both the US and nearshore teams face unique challenges but ensuring a balanced workload and respecting personal time are critical for DX.

  • Align schedules thoughtfully: While time zones are similar, avoid scheduling late-night or early-morning meetings that might disrupt personal time.
  • Manage workloads effectively: Avoid overloading either team by distributing tasks equitably, considering skillsets and capacity.
  • Promote mental well-being: Encourage breaks, flexible work options, and initiatives that prioritize mental health.

A balanced approach to work helps developers remain productive and engaged without risking burnout.

Conclusion: Collaboration That Thrives

Achieving a great Developer Experience with a US and nearshore team from Mexico and LATAM requires intentionality. It’s about more than just having the right tools—it’s about creating an environment where developers can communicate openly, collaborate effectively, grow professionally, and feel appreciated.

When DX is a priority, teams don’t just deliver software; they deliver innovation, foster loyalty, and build long-term success. If you’re ready to take your cross-border collaboration to the next level, start by investing in your developers’ experience—and watch the results speak for themselves.

Rod Aburto - Senior Partner

Rod Aburto

Senior Partner

Top Priorities for Software Teams in 2025 

Top Priorities for Software Teams in 2025 

Written by: Luis Aburto – 

Top Priorities for Software Teams in 2025

As we head into 2025, the landscape for software engineering teams is evolving rapidly. Economic challenges, the rise of generative AI, and shifts in team dynamics are shaping the decisions engineering leaders make daily.

In this blog post, we’ll look at what engineering teams are focusing on for the year ahead, and why understanding these priorities can help guide your own team’s strategy. This information is drawn from many in-depth conversations with our clients complemented with research published in industry publications. The goal is to use awareness of current trends to align our plans with the strategies driving success across the industry.

The Current Landscape for Engineering Teams

Engineering leaders are dealing with multiple external pressures—economic uncertainty, hype around artificial intelligence, and the constant need to maintain momentum in a competitive market. These pressures have led engineering leaders to prioritize optimization, adaptability, and strategic clarity as the key themes for 2025. In response, many teams are reevaluating their processes, leveraging new technologies, and reassessing how best to structure their operations.

Top Priorities for Engineering Teams in 2025

To provide more clarity, we’ve grouped the priorities into four main categories: Product Expansion and Innovation, Operational Efficiency and Developer Enablement, Ensuring Customer Satisfaction, and Leveraging AI & Data.

Top Priorities for Engineering Teams in 2025
Product Expansion and Innovation

Product Expansion and Innovation 

Building New Features and Capabilities

In a market where differentiation is key, new feature development helps companies maintain relevance and offer new value to customers. So, the need to drive growth and meet customer expectations is pushing engineering leaders to prioritize innovation while balancing it with the stability and reliability of their platforms. In this context, well-planned product roadmaps are becoming increasingly important, as leaders aim to keep new features aligned with customer needs, market trends, and technical constraints.

Key focus areas for building new features and capabilities include:

  • Differentiation in the Market: Teams are developing unique features to maintain relevance and stand out among competitors.
  • Driving Growth: Ongoing feature development is directly tied to customer acquisition and retention, leading to revenue growth.
  • Customer Needs Alignment: Ensuring that product roadmaps are in sync with customer expectations (which in part are driven by competing solutions) and evolving market trends.

Adding New Products or Services 

Another major focus area for engineering teams is expanding product offerings. By adding new products or services, teams can target additional market segments and improve the overall value proposition of their companies. This expansion is critical in gaining a competitive edge and diversifying revenue streams.

Performance Improvements 

Optimizing the performance of existing products is a priority to ensure that systems operate effectively and provide a high-quality user experience. Improving performance not only enhances customer satisfaction but also sets the foundation for future scalability.

Key areas of focus for performance improvements include:

  • Architecture, Database, and Code Optimization: Focusing on refining software architecture, optimizing data architecture and database queries, and enhancing code efficiency to improve overall system performance.
  • Performance Testing: carried out under various conditions and scenarios, ensures that the software can handle different types of user behavior and system loads effectively.
  • Scalability Planning: Making sure that systems are ready to scale as demand increases (gradually, cyclically, or event-driven), ensuring a seamless user experience.
  • Real-time Monitoring: Implementing effective monitoring to quickly identify and resolve performance issues.
  • Infrastructure Optimization: Investing in infrastructure enhancements that support consistent performance and reliability.

R&D and Experimentation

This involves experimenting with new ideas and technologies to enhance both the product and the development process. Teams focus on improving product functionality, ease of use, performance, and other user-facing features. Additionally, efforts are made to boost development efficiency by introducing advanced coding tools, leveraging Generative AI, exploring new programming languages, enhancing CI/CD pipelines, and adopting innovative practices that improve efficiency and/or the developer experience.

Key areas of focus for R&D and Experimentation include:

  • New/Different Technologies: Experimenting with technologies outside the current stack to explore opportunities for enhancing functionality, user experience, or performance.
  • Performance Optimization: Testing new approaches to improve system speed and efficiency.
  • Developer Tools: Introducing advanced tools that make the development process more seamless.
  • Generative AI Integration: Leveraging AI to enhance both product functionality and development workflows.
  • User-Centered Design Experiments: Incorporating user feedback during the experimentation phase to iteratively enhance the product’s usability and user experience.
  • Security Testing Innovations: Experimenting with advanced security tools and methods to proactively identify vulnerabilities and enhance product security.
Operational Efficiency and Developer Enablement

Operational Efficiency and Developer Enablement 

Managing Technical Debt and Maintenance 

Technical debt, often neglected during high-growth periods, is now receiving the attention it needs to ensure long-term stability. The priority on managing technical debt is about maintaining a stable and sustainable codebase. Leaders are increasingly aware that maintaining system stability is crucial for long-term success and that ignoring it today only amplifies future risks. Effective technical debt management also frees up resources that would otherwise be tied up in fixing issues, allowing teams to focus on more strategic goals. 

Key areas of focus for managing technical debt include:

  • Code Review Best Practices: Ensuring that code is regularly reviewed to maintain quality and prevent accumulation of technical debt.
  • Refactoring Legacy Systems & Code: Modernizing older systems and codebases to make them more maintainable and efficient.
  • Automated Testing: Investing in automated testing tools to catch defects faster and reduce technical debt.
  • Incremental Improvements: Addressing technical debt in small, manageable increments to avoid overwhelming engineering teams.
  • Long-term Stability: Prioritizing actions that contribute to the long-term stability and sustainability of the codebase.

Cost Optimization, Productivity, and Efficiency 

Economic uncertainty has prompted engineering teams to reassess operations for efficiency and productivity. Many teams are adopting leaner processes, automating repetitive tasks, and aiming to get more output from the same or fewer resources. For engineering leaders, the challenge is creating environments where cost efficiency is achieved without compromising culture and innovation. 

Key strategies for cost optimization include:

  • Improving Productivity: Teams are focusing on maximizing output by streamlining their operations and removing inefficiencies. Examples include fine-tuning agile methodologies to enhance team collaboration, implementing continuous integration and deployment (CI/CD) to speed up releases, and using data-driven metrics to identify bottlenecks and areas for improvement.
  • Automation Initiatives: Leveraging automation tools to handle repetitive tasks and remove the potential for human error can free up engineers for more strategic work and improve overall quality.
  • Leveraging Cost-Effective Engineering Teams: Augment in-house engineering teams with engineers from cost-effective regions, particularly nearshore developers, to maintain cost advantages while minimizing collaboration challenges.
  • Cloud Resource Optimization: Reviewing and optimizing cloud infrastructure to control spending and improve cost efficiency.

Developer Experience (DX) 

Enhancing developer experience—by reducing unnecessary friction and improving internal tools—has become a significant focus to ensure effectiveness. This effort is closely related to improving productivity, as they are two sides of the same coin. Many engineering teams are investing in better development tools, streamlined CI/CD pipelines, and robust testing environments to create a seamless workflow. 

Key strategies for improving developer experience include:

  • Reducing Friction: Minimizing obstacles in workflows to ensure developers can focus on coding without unnecessary interruptions.
  • Better Development Tools: Investing in tools that make coding easier and enhance developer productivity.
  • Streamlined CI/CD Pipelines: Ensuring continuous integration and deployment processes are smooth and efficient.
  • Robust Testing Environments: Creating reliable testing frameworks that provide developers with confidence in their changes.
  • Peer Reviews and Pair Programming: Encouraging collaboration to enhance code quality and foster a culture of learning.

Developer experience is now being treated as an essential part of productivity; leaders recognize that developers empowered with intuitive tools and smooth workflows are less prone to burnout and more likely to deliver high-quality code.

Ensuring Customer Satisfaction

Ensuring Customer Satisfaction

Reliability and Performance Improvements 

The need for operational resilience has made reliability and uptime key priorities for engineering teams. Ensuring system reliability directly impacts customer satisfaction and remains a key focus. For engineering leaders, it means making investments in infrastructure and system architectures that help minimize downtime and prevent issues before they affect users. This includes improving monitoring capabilities and adopting a proactive approach to incident management. 

Key strategies for reliability and performance improvements include:

  • Operational Resilience: Investing in infrastructure that enhances reliability and minimizes downtime.
  • Resilient System Architecture Design: Designing system architectures with resilience in mind, incorporating redundancy, failover mechanisms, and modular components to minimize the impact of failures.
  • Proactive Monitoring: Improving monitoring capabilities to detect and address issues before they escalate.
  • Incident Management: Adopting a proactive approach to managing incidents to minimize customer impact.
  • Chaos Engineering and Stress Testing: Utilizing these practices to build resilient systems.
  • Team Upskilling: Training teams to respond effectively to incidents and recover gracefully when issues arise.

Quality Assurance and Testing

As customer expectations for software remain high in terms of availability, performance, functional accuracy, and usability, Quality Assurance (QA) continues to be a key priority for 2025. Teams are focusing on building automated testing frameworks to ensure stability and reduce the chances of defects in production. Investing in comprehensive QA practices ensures that systems are reliable and helps in maintaining customer trust.

Key strategies for quality assurance and testing include:

  • Automated Testing Frameworks: Building and implementing automated testing to ensure stability and catch defects early.
  • Continuous Integration: Utilizing continuous integration to maintain code quality and quickly identify issues.
  • Proactive Quality Measures: Adopting proactive QA practices to enhance reliability and robustness.
  • Comprehensive QA Practices: Investing in extensive quality assurance to improve system reliability.
  • Customer Satisfaction and Trust: Prioritizing bugs and improvements that directly enhance the user experience while ensuring quality to maintain and build customer trust by minimizing production issues. This combined focus leads to greater customer loyalty.
Leveraging AI & Data

Leveraging AI & Data 

AI for Internal Use 

Engineering leaders are exploring how AI can improve team productivity and assist in decision-making, bug detection, and predictive maintenance. AI-driven insights enhance decision-making speed and accuracy, providing valuable data-backed support. However, effective adoption requires deliberate prioritization and investment in upskilling teams to understand and work effectively with these tools, while also navigating the risks and ethical implications associated with AI in engineering processes. 

Key strategies for using AI internally include:

  • Automation of Repetitive Tasks: Leveraging AI to handle mundane, repetitive tasks, freeing up team members for more complex work.
  • Decision-making Support: Utilizing AI-driven insights to assist in making faster, data-backed decisions.
    Bug Detection and Predictive
  • Maintenance: Implementing AI to identify bugs and predict potential system failures before they happen.
  • Generative AI for Code Generation: Using Generative AI tools to assist in code generation can significantly enhance developer productivity by automating boilerplate code and suggesting code solutions. However, it is important that generated code is thoroughly reviewed to mitigate risks such as vulnerabilities and technical debt.
  • Team Upskilling: Investing in training to ensure teams understand and work effectively with AI tools.
  • Ethical AI Use: Addressing ethical concerns and ensuring AI is used responsibly within engineering processes.

AI for Customer Use 

AI for customer use targets enhancing products and services. This could involve personalizing user experiences, building intelligent product features, or creating AI-driven support solutions. The value of AI in customer-facing products is increasingly becoming apparent, especially in terms of providing better and more efficient service, though integration hurdles remain significant. 

Key strategies for using AI for customer purposes include:

  • Personalizing User Experiences: Leveraging AI to create tailored experiences that better meet individual customer needs.
  • Intelligent Product Features: Building smart features powered by AI that enhance product functionality and user engagement.
  • AI-driven Customer Service/Support Solutions: Creating automated support systems, such as chatbots, that provide immediate assistance to users.
  • Addressing Integration Challenges: Focusing on overcoming the technical and operational hurdles of integrating AI into customer-facing systems.

Internal Data Management 

Internal data management focuses on leveraging data effectively within the organization to drive better decisions, streamline processes, and enhance operational efficiency.

Key strategies for internal data management include:

  • Improving Data Quality: Investing in solutions that ensure high-quality data, reducing errors and improving the reliability of insights.
  • Enhancing Data Access: Implementing architectures and solutions that allow easier and more secure access to data for teams that need it.
  • Optimizing Data Utilization: Ensuring that data is used effectively across the organization to support AI initiatives and business intelligence.
  • Supporting AI Initiatives: Providing a strong data foundation to enable more effective AI applications.
  • Business Intelligence Alignment: Using data to drive strategic decisions that align with broader organizational goals.
Key Insights for Engineering Leaders

Key Insights for Engineering Leaders

Aligning Team Goals with Business Needs

The key to prioritization this year lies in aligning technical work with business outcomes. Engineering teams must not only understand what they are building but also why it matters for the broader organization. This means that leaders must ensure there is transparency about how engineering initiatives tie into company objectives, allowing teams to remain motivated and purpose driven.

Balancing Immediate Delivery with Long-term Sustainability

Engineering leaders are tasked with balancing rapid feature delivery with the need for sustainable codebase health. Investing in the long-term stability of the codebase and reducing technical debt means fewer emergencies, fewer last-minute firefights, and smoother long-term development. A sustainable codebase leads to higher productivity over time, as teams spend less effort on bug fixing and more time on innovation.

Key strategies for balancing immediate delivery with long-term sustainability include:

  • Incremental Technical Debt Reduction: Addressing technical debt in small, manageable increments helps maintain stability without overwhelming the team or stalling new feature development.
  • High-impact Refactoring: Identifying and executing refactoring efforts that provide substantial improvements in system maintainability and scalability.
  • Maintaining Strong QA During Fast Delivery: Ensuring quality assurance processes are not bypassed during rapid feature releases, to prevent accumulating issues that could compromise long-term code health.
  • Stakeholder Communication: Clearly communicating the importance of technical debt reduction and long-term sustainability to stakeholders helps gain their support for initiatives that may not provide immediate visible results but are critical for future growth.
  • Dedicated Maintenance Sprints: Allocating specific sprints for addressing technical debt, system optimization, and maintenance tasks can help strike a balance between adding new features and ensuring stability.
  • Adopting a Sustainable Culture: Promoting a culture that values both speed and long-term sustainability encourages teams to make decisions that support a healthy codebase, reducing rework and boosting efficiency over time.

Conclusion

As we move into 2025, software engineering teams face a mix of opportunities and challenges shaped by economic pressures, advancements in AI, and the continuous demand for customer satisfaction. The ability to balance rapid innovation with long-term stability is more crucial than ever. Teams that prioritize aligning their goals with business outcomes, leveraging new technologies responsibly, and enhancing operational efficiency are best positioned to thrive.

The key insights provided in this blog are intended to guide engineering leaders in making thoughtful, strategic decisions that improve both productivity and resilience. Whether it’s managing technical debt, empowering developers with the right tools, or incorporating AI into both internal processes and customer experiences, every decision should be made with the goal of delivering enduring value to both the organization and its users.

How about you?

What priorities is your engineering team focusing on for 2025? Are your strategies aligned with broader business goals, and are you adopting a balanced approach to innovation and stability?

We’d love to hear your thoughts and insights! Share your experiences and challenges with us by reaching out on LinkedIn or sending us a message through our contact us page to discuss how we can help your team achieve its goals in the upcoming year.

Luis Aburto CEO Scio

Luis Aburto

CEO

The Hidden Challenges of Scaling a Development Team 

The Hidden Challenges of Scaling a Development Team 

Written by: Adolfo Cruz – 

The Hidden Challenges of Scaling a Development Team

You’re leading a software development team, and with the company growing quickly, keeping up has become challenging. The management team has decided to allocate more of the budget to IT, giving you the opportunity to hire additional developers—but without increasing payroll. They suggest subcontracting as a solution.
After careful evaluation, you find a partner who can supply developers with the required skill set. Contracts are signed, and three new developers have been added to your existing team.

Mission accomplished? Not quite.

Scaling a development team is far more complex than simply adding more hands. I once skipped an onboarding step, thinking it wasn’t essential, and the team felt it immediately. That experience taught me there’s no shortcut to fully integrating new members.
Team size growth comes with its own set of hidden challenges, such as:
Team Integration: Do your current team members understand that the new developers are now part of the same team? Are they being treated as core contributors instead of temporary contractors?

  • Alignment on Vision: Have the new developers been fully informed about the company’s goals and vision? Do they understand the broader mission the rest of the team is pursuing?
  • Measuring Impact: Is there a process to evaluate the impact of adding new developers? How do you measure productivity or improvement?
  • Collaborative Improvement: If the collaboration isn’t working, do you have a framework to discuss what’s going wrong and how to improve it?
The Hidden Challenges of Scaling a Development Team

Key Strategies for Onboarding and Integrating New Team Members

To prevent these hidden challenges from becoming significant obstacles, here are some strategies for successful scaling:

  1. Share the Vision: Kick-off new team members with thorough induction sessions. Explain not only what you’re building but why—the company vision, the product’s goals, and the long-term aspirations. A well-informed team member who understands the bigger picture is much more engaged and motivated.
  2. Clarify Roles and Relationships: The entire team should know each other’s roles, responsibilities, and skills. This helps foster collaboration and ensures everyone knows who is accountable for what.
  3. Explain Team Dynamics: While many development teams follow some version of Agile, each team often develops unique adaptations to make processes more efficient. Make sure to explain your team’s specific practices so that new members can smoothly integrate without friction.
  4. Foster Personal Connections: Integration isn’t just about work. Organize occasional team bonding activities—these don’t have to be elaborate, but a casual setting helps everyone connect on a more personal level, building trust and collaboration.

    As someone who has navigated the complexities of growing development teams, I’ve seen firsthand how easy it is to overlook the ‘human’ side of scaling. Adding new members is only the beginning; ensuring everyone feels genuinely integrated and aligned is where the real work and payoff begins. It’s about building a culture of shared goals and mutual respect, where each person understands their role in the bigger picture. When we approach growth with that mindset, we’re not just expanding our team. We’re building a foundation for collective success. I’ve seen these principles in action, and I know they’re the key to growing and thriving together as a team.
    If you’re looking to scale your development team, take a moment to reflect on these steps. Building a team isn’t just about headcount; it’s about creating a place where every person feels valued and connected. I hope these strategies help you build that kind of team. Let me know what you think in the comments.

    Adolfo Cruz - PMO Director

    Adolfo Cruz

    PMO Director

    Strategic Nearshoring for Tech Companies: Luis Aburto’s Vision for Outcomes-Driven Partnerships

    Strategic Nearshoring for Tech Companies: Luis Aburto’s Vision for Outcomes-Driven Partnerships

    Written by: Luis Aburto – 

    Strategic Nearshoring for Tech Companies: Luis Aburto’s Vision for Outcomes-Driven Partnerships

    The Software Development leaders of tech companies are constantly searching for ways to scale their engineering teams, hit aggressive product development milestones, and deliver innovation more efficiently. While outsourcing has traditionally been a common solution, many tech companies are finding that simple transactional relationships with outsourcing providers fall short of delivering the long-term results they need.

    For Luis Aburto, CEO of Scio, the answer lies in strategic nearshoring and a shift toward outcomes-driven partnerships. Scio, a software development company based in Mexico, leverages nearshoring to help North American tech companies scale their teams with real-time collaboration, cultural alignment, and cost efficiency.

    In this interview, John Suvanto, a renowned Vistage Chair in Dallas, TX and Luis’ Executive Coach, explores how Scio’s Outcomes-Driven Engagement Model and its focus on business and cultural alignment are reshaping the way tech companies approach partnerships. Together, they dive into how Scio is helping companies achieve measurable business outcomes, improve engineering productivity, and meet product roadmap goals more effectively through long-term collaboration.

    Interview

    John Suvanto (Chair, Vistage Dallas):

    Luis, it’s great to sit down with you again. As someone who’s watched your journey for several years, I’ve been particularly impressed with how Scio has developed its Outcomes-Driven Engagement Model. For our readers, could you start by introducing Scio and sharing a bit about the philosophy behind this model?

    Luis Aburto (CEO, Scio):

    Thanks, John. I’m happy to be here and to talk about our approach. Scio is a software development company based in Austin, TX that leverages talent in Mexico and other countries in Latin America to deliver custom technology solutions to North American clients. So, one of the key aspects of our business model is nearshoring—we’re in the same or similar time zones as our clients, which allows for real-time collaboration, faster decision-making, and better cultural alignment, all while keeping costs competitive.

    As we’ve grown, we recognized that the traditional transactional outsourcing model wasn’t enough to truly support our clients’ needs—especially tech or tech-enabled companies that are scaling rapidly or trying to hit aggressive product development goals. That’s where our Outcomes-Driven Engagement Model comes in. Instead of just delivering a service and moving on, we partner with our clients to align our work with their business outcomes, focusing on achieving real, measurable results.

    John Suvanto:

    I think that’s an important distinction. Many companies that work with external development teams are used to a time and materials or a deliverables-based approach, but you’ve shifted the conversation to outcomes, which requires a much deeper partnership. How does this shift impact the way you engage with your clients?

    Luis Aburto:

    It fundamentally changes the relationship. In a typical transactional model, success is measured by completing tasks—delivering features, closing out tickets, or meeting deadlines. But these outputs don’t always lead to real business impact. Our model is different because we’re not just focused on what we’re delivering today; we’re focused on what that delivery is achieving in the long term.

    From the very beginning of an engagement, we sit down with our clients to define outcomes that are aligned with their business objectives. This could be improving product development cycles, increasing productivity in their engineering teams, or hitting specific product roadmap milestones. We commit to those outcomes and share accountability for achieving them. It’s a deeper partnership where both sides are fully invested in long-term success.

    John Suvanto:

    And that level of shared accountability must build a great deal of trust with your clients. You’re essentially aligning your own success with theirs. How do you measure this success, especially when you’re focusing on long-term outcomes?

    Luis Aburto:

    Exactly, John. Trust is a key component of this model, and shared accountability is at the heart of it. We establish key performance indicators (KPIs) that reflect the outcomes we’ve agreed on. These KPIs aren’t just about completing tasks—they’re about the business impact. For example, if a client’s goal is to increase development velocity, we’ll measure not just how many features we’re delivering, but whether those features are helping the client meet their product roadmap milestones more efficiently.

    We also conduct regular reviews to ensure that we’re on track, and we adapt as needed. This level of flexibility is crucial because business needs evolve. What we’re focused on at the start of the partnership might change as the client’s product or market situation shifts. Our model is designed to be adaptive, ensuring that we’re always aligned with their priorities.

    John Suvanto:

    That adaptability is essential, especially in tech where things can change quickly. Now, Scio operates using a nearshoring model, which I know is a big part of your value proposition. Can you explain how nearshoring fits into this Outcomes-Driven Engagement Model and how it benefits your tech clients?

    Luis Aburto:

    Nearshoring is a huge advantage for us and for our clients. Having our team members based in Mexico and throughout Latin America, and serving clients primarily in North America, we’re working in similar time zones, which makes real-time collaboration much easier than with traditional offshore teams. Our clients don’t have to deal with significant time delays—they can have a meeting with our development team during their business hours and get immediate responses. This improves communication, speeds up decision-making, and ultimately makes the development process more efficient.

    In addition, the cultural alignment we have with our clients plays a big role in building trust and collaboration. There’s a better understanding of business practices, expectations, and workflows, which reduces friction. But at the same time, our nearshoring model allows for cost efficiencies compared to working with onshore teams, so our clients are getting the best of both worlds—quality and affordability.

    This combination of nearshoring and our Outcomes-Driven Engagement Model allows us to be a true partner, embedded in the day-to-day processes of our clients’ engineering teams, helping them increase productivity and hit their product roadmap milestones faster and more predictably.

    John Suvanto:

    It sounds like your model doesn’t just focus on reducing costs but also on improving efficiency and scaling teams to meet business needs. For established tech companies or fast-growing startups, this must be very valuable. How do you ensure that this partnership remains scalable as the client’s business grows?

    Luis Aburto:

    Scalability is something we build into our engagements from the start. Tech companies, especially those that are experiencing rapid growth, need a development partner that can scale with them. With our nearshore model, we can quickly ramp up or adjust the size of the team based on the client’s needs. Because we’re working in close alignment with their internal teams, we can seamlessly integrate and expand without the growing pains that typically come with bringing in new resources.

    Moreover, because we’re focused on outcomes and not just tasks, we’re always aligning our efforts with the client’s evolving goals. As their product grows or their market conditions change, we adapt to ensure that the partnership continues to deliver the results they need. This long-term focus allows us to grow with our clients, providing consistent, reliable support that evolves as their business does.

    John Suvanto:

    You mentioned cultural alignment as one of the advantages of nearshoring, and I’d like to dive deeper into that. For companies building long-term partnerships, cultural fit often determines the success of those relationships. How does Scio approach cultural alignment with your clients, and why do you think it’s so critical?

    Luis Aburto:

    Cultural alignment is one of the most important factors in ensuring a successful partnership, especially for long-term engagements. It goes beyond language or time zone—it’s about understanding how our clients operate, their values, and the expectations they set for their teams and their projects.

    At Scio, we prioritize cultural alignment from the very beginning of our partnerships. Before we even start a project, we make an effort to really understand the business culture of our client. Are they highly collaborative? Do they prefer structured, process-driven work? What are their key priorities in terms of innovation, quality, or speed? Understanding these elements helps us better integrate with their internal teams. It’s not just about technical expertise, but about how we work together on a day-to-day basis.

    This is where nearshoring really makes a difference. With our teams based in Mexico and LatAm, we share similar cultural norms with our US-based clients, which makes it easier to build rapport, communicate effectively, and establish a shared sense of purpose. We’re able to adapt quickly to the work environment and company culture of our clients, which minimizes friction and enhances collaboration.

    John Suvanto:

    That makes a lot of sense. Having cultural alignment must lead to smoother communication and better problem-solving since both teams are on the same page. How have you seen this play out in your engagements?

    Luis Aburto:

    We’ve seen it have a significant impact. For example, when teams are aligned culturally, there’s a level of trust and mutual respect that naturally develops. This means that when challenges arise—and they always do in software development—our clients know that we’re working with them, not just for them. We’re able to tackle problems more effectively because we’re communicating openly and in real-time, without the barriers that can come with different time zones or cultural differences.

    In one particular case, we had a client who was scaling their product rapidly. Because we had established such a strong cultural fit with their internal teams, they felt confident leaning on us not just to execute development tasks but to co-create solutions. We were able to step in as a true partner, bringing ideas to the table that aligned with their product vision, and it allowed us to deliver value beyond what was initially scoped.

    John Suvanto:

    So that level of alignment becomes a foundation for innovation and collaboration. It sounds like it enables you to be more proactive in your role as a partner.

    Luis Aburto:

    Exactly. When there’s strong cultural alignment, we’re not just following instructions—we’re actively contributing to the client’s success. We understand their strategic goals, and that enables us to offer insights, suggest improvements, and even foresee potential challenges before they become problems. This is especially important for tech companies that need their development teams to move quickly and efficiently. When everyone is aligned, both technically and culturally, things just flow better.

    John Suvanto:

    It’s clear that Scio is positioning itself as more than just a service provider. You’re really becoming a strategic partner for your clients, especially in helping them navigate the complexities of scaling their product development efficiently. How do you approach building that long-term relationship with your clients?

    Luis Aburto:

    Our approach is centered around creating mutual value. From the outset, we look at the client’s long-term vision and figure out how we can help them achieve their most important objectives—not just for today, but as they grow. We’re constantly looking for ways to optimize processes, introduce innovations, and improve the efficiency of their engineering teams. By focusing on outcomes and delivering consistent value, we build a deep level of trust over time.
    Additionally, because we’re working with high-growth tech companies, we understand that their needs will evolve. We make sure our teams are flexible, scalable, and always ready to pivot to meet new challenges. Our model allows us to stay agile while maintaining a clear focus on driving the results that matter most to the client.

    John Suvanto:

    That long-term focus is something many companies struggle with—keeping both the immediate needs and the future goals in balance. Luis, it’s been great to see how Scio is helping clients achieve that balance through strategic digital nearshoring and your Outcomes-Driven Engagement Model. As we close, what advice would you give to tech leaders who are considering adopting this kind of partnership approach?

    Luis Aburto:

    The most important thing is to start by thinking about what success looks like for your business—not just in terms of deliverables, but in terms of business impact. What outcomes do you need to achieve? Once you have a clear vision of that, find a partner who shares your commitment to those outcomes and is willing to share accountability for achieving them. Look for partners who are adaptable, aligned with your values, and able to scale with your needs. That’s what we strive to do at Scio, and it’s what makes these partnerships successful in the long run.

    John Suvanto:

    Luis, thank you for sharing your insights. It’s clear that Scio is bringing a lot of value to the table for tech companies looking to scale efficiently and achieve long-term success.

    Luis Aburto:

    Thank you, John. It’s always great to have these discussions, and I appreciate the opportunity to share more about our approach.