From Maintenance to Innovation: Addressing IT and Software Development Challenges in Modern Enterprises 

From Maintenance to Innovation: Addressing IT and Software Development Challenges in Modern Enterprises 

Written by: Luis Aburto – 

From Maintenance to Innovation: Addressing IT and Software Development Challenges in Modern Enterprises

Introduction

In my conversations with CTOs, CIOs, and Software Development Leaders across various industries, certain recurring themes have emerged about the challenges these leaders face. Managing legacy systems, resource constraints, and rising expectations often leaves teams stuck in reactive maintenance instead of driving innovation. Overcoming these obstacles can pave the way for strategic initiatives that transform not only IT operations but the entire organization.

This blog delves into the most pressing challenges IT leaders face and offers practical strategies to address them. By embracing innovative solutions, organizations can position their IT teams for long-term success and growth.

1. Legacy Systems: The Hidden Roadblock to Innovation

Legacy systems, while once the backbone of operations, now represent a significant challenge. These systems often lack proper documentation, rely on outdated technology stacks, and are difficult to integrate with modern platforms. This creates bottlenecks that hinder agility, scalability, and the ability to innovate.

Solution: Migrating to modern platforms—such as cloud-based microservices architectures—can unlock operational efficiencies and enable new capabilities. Collaborating with a partner experienced in legacy system modernization ensures a smoother transition. A phased migration approach, focusing first on high-impact areas, can reduce risks and prevent operational disruptions. Additionally, adopting automated tools for data migration and validation can streamline the process further.

2. Maintenance Overhead: Shifting Focus to Strategic Initiatives

Internal IT teams often find themselves consumed by routine maintenance tasks. This leaves little bandwidth for high-value projects like AI integration, personalization, or mobile app development. Teams become reactive, addressing issues as they arise instead of proactively driving improvements. These constraints limit the team’s capacity to focus on strategic objectives that could drive significant business growth.

Solution: Outsourcing systems maintenance to a trusted partner can free up internal resources for mission-critical projects. For instance, Scio’s nearshore software engineering teams seamlessly integrate with in-house staff, ensuring continuity while enhancing capacity. Additionally, creating a project prioritization roadmap can help allocate resources effectively, ensuring that strategic initiatives get the attention they deserve.

3. Mobile App Development: Meeting Modern User Expectations

As mobile applications become central to user engagement, businesses must adopt approaches that balance functionality, cost-efficiency, and scalability. Developing robust mobile apps requires specialized expertise, particularly in navigating frameworks like React Native, Flutter, and native app development for specific platforms.

Solution: Adopting a hybrid approach—leveraging frameworks like Flutter or React Native—can significantly reduce costs without sacrificing performance. Collaborating with seasoned developers ensures that your app aligns with user needs while adhering to timelines and budgets. Incorporating iterative development cycles with regular user feedback can also enhance app usability and adoption rates.

AI Integration: From Buzzword to Business Impact

4. AI Integration: From Buzzword to Business Impact

Artificial intelligence is no longer a futuristic concept, it is a cornerstone of modern business strategy. From predictive analytics to chatbots and automated workflows, AI can dramatically enhance efficiency and customer engagement. However, its integration often presents challenge

es, particularly around selecting the right tools and ensuring seamless adoption.
Beyond its strategic impact, AI has emerged as a powerful productivity tool in software development. Platforms like GitHub Copilot can significantly accelerate coding by suggesting snippets, automating repetitive tasks, and even flagging potential errors during development. These tools enable developers to focus on higher-value activities such as architectural decisions and feature innovations.

Solution: AI integration requires a clear strategy aligned with business objectives. Begin by identifying specific use cases where AI can deliver measurable value, such as customer support chatbots, automated data analysis, or productivity tools for developers. Partnering with experienced development teams ensures smooth integration and adherence to organizational security protocols. Offering internal training to upskill employees on AI tools can also foster widespread adoption and innovation. Establishing feedback loops for developers using AI tools can further refine their effectiveness, ensuring they align with team workflows and deliver maximum benefits.

5. Data and Security: The Backbone of Digital Transformation

Data management and security remain critical concerns during modernization efforts. Organizations must ensure that their data integration processes are seamless, while also safeguarding sensitive information against breaches.

Solution: Establishing well-defined data sharing protocols early in the project lifecycle is key. Automated compliance and validation tools can streamline integration while ensuring adherence to industry regulations. Selecting a partner who prioritizes robust security measures—including encryption, multi-factor authentication, and regular audits—further minimizes risks. Additionally, investing in tools that monitor and manage data access can enhance transparency and security.

6. Shifting Strategic Focus and Building a Culture of Innovation

Today’s IT teams are being asked to pivot from traditional operational roles to driving innovation within the organization. Fostering a culture of innovation within IT teams is essential for long-term success. However, balancing operational demands with strategic priorities often strains resources that have limited bandwidth for experimenting with new technologies like AI and machine learning, becoming an obstacle that prevents organizations from staying competitive.

Solution: Encourage collaboration by involving IT teams in strategic decision-making processes. Regularly assess team capabilities and provide opportunities for upskilling in emerging technologies like AI, cloud computing, and DevOps practices. Recognizing and celebrating small milestones in innovation can inspire creativity and build momentum across the organization.

Conclusion: Taking the First Step Toward Transformation

The challenges faced by IT and software development teams are significant, but they are far from insurmountable. By modernizing legacy systems, outsourcing routine tasks, and fostering a culture of continuous improvement, organizations can unlock their teams’ full potential. These efforts not only enhance operational efficiency but also position the business for sustainable growth and competitive advantage.

Are you ready to shift from maintenance to innovation? Contact us to explore how Scio’s nearshore software engineering teams can help you achieve your strategic goals.

We would love to hear about the challenges your IT team is facing and discuss how we can help you overcome them. Contact us today to explore how our expertise can support your transition from maintenance to innovation.

Luis Aburto_ CEO_Scio

Luis Aburto

CEO

Enhancing Developer Experience with AI Tools in Multidisciplinary Software Development Teams 

Enhancing Developer Experience with AI Tools in Multidisciplinary Software Development Teams 

Written by: Rod Aburto – 

Enhancing Developer Experience with AI Tools in Multidisciplinary Software Development Teams
The Developer Experience (DX) is at the forefront of innovation in software development companies. As the demand for high-quality software increases, so does the complexity of development environments. Multidisciplinary teams—bringing together developers, designers, testers, and project managers—require seamless collaboration, streamlined workflows, and access to tools that enhance efficiency and creativity. Enter Artificial Intelligence (AI), a transformative force reshaping the way software development companies approach DX. AI tools are enabling teams to work smarter, solve problems faster, and focus on what they do best: creating exceptional software. Here’s how software development companies are leveraging AI tools to enhance DX among multidisciplinary teams.

1. Streamlining Coding with AI-Powered Assistant

AI-driven coding assistants, such as GitHub Copilot and Tabnine, are revolutionizing the way developers write code. These tools use machine learning to analyze context and generate suggestions, completing code snippets and recommending improvements.
  • How it helps DX: Developers save time on repetitive coding tasks and reduce errors, allowing them to focus on solving complex problems and building innovative features.
  • Multidisciplinary impact: With faster and cleaner code, other team members—like testers and designers—experience fewer delays and smoother integration into the development cycle.

2. Automating Quality Assurance

AI tools are transforming Quality Assurance (QA) by automating tasks such as test case generation, regression testing, and defect detection. Tools like Testim and Applitools leverage machine learning to identify and resolve issues before they escalate.
  • How it helps DX: Developers spend less time debugging and more time coding, while testers gain powerful tools to streamline their workflows.
  • Multidisciplinary impact: QA teams can collaborate more effectively with developers and designers, ensuring a higher standard of quality across the board.

3. Enhancing Collaboration with AI-Driven Project Management

Project management platforms like Jira and Monday.com are integrating AI capabilities to improve task assignment, predict project bottlenecks, and analyze team performance.
  • How it helps DX: Developers and other team members can rely on intelligent task prioritization and automated status updates, reducing the burden of manual reporting.
  • Multidisciplinary impact: Project managers can make data-driven decisions, ensuring that all disciplines are aligned and working efficiently.

4. Improving Communication and Documentation

AI tools like Grammarly and Notion AI are transforming how teams communicate and document their work. These tools can draft meeting notes, summarize lengthy discussions, and even translate technical jargon for non-technical stakeholders.
  • How it helps DX: Developers and designers can quickly create clear documentation, reducing misunderstandings and improving team collaboration.
  • Multidisciplinary impact: Non-technical team members, such as project managers or clients, can easily stay informed and contribute meaningfully to discussions.

5. Supporting Design with AI

AI tools such as Figma AI and Canva Magic Design are empowering designers to create interfaces more efficiently. These tools can suggest layouts, auto-generate assets, and provide user behavior insights.
  • How it helps DX: Developers receive designs faster, with detailed insights that help them implement features accurately and efficiently.
  • Multidisciplinary impact: Designers and developers collaborate more seamlessly, ensuring a smoother transition from concept to implementation.
6. Enhancing DevOps with AI

6. Enhancing DevOps with AI

AI tools like Jenkins and Harness are optimizing DevOps practices by automating build pipelines, monitoring system performance, and predicting failures.
  • How it helps DX: Developers experience faster deployment cycles and more reliable environments, reducing frustration and downtime.
  • Multidisciplinary impact: Operations teams gain better visibility into system health, allowing them to proactively address issues before they impact the development process.

7. Personalized Learning and Growth

AI-driven learning platforms, such as Pluralsight Flow and Degreed, offer personalized learning paths tailored to each developer’s strengths and areas for improvement.
  • How it helps DX: Developers can upskill efficiently, staying ahead in their field without sacrificing productivity.
  • Multidisciplinary impact: Teams benefit from increased expertise across disciplines, fostering a culture of continuous learning and collaboration.

8. Predicting and Mitigating Risks

AI-powered analytics tools can predict potential risks in projects, from missed deadlines to resource conflicts. Tools like ClickUp and Asana AI analyze data to provide actionable insights.
  • How it helps DX: Developers face fewer last-minute crises, while project managers can proactively adjust plans.
  • Multidisciplinary impact: Teams can align better, avoid burnout, and maintain steady progress toward project goals.

9. Boosting Creativity with AI

AI tools like OpenAI’s DALL·E or ChatGPT are being used to boost creativity across teams. Whether it’s generating ideas for new features, brainstorming UX concepts, or drafting initial code, AI is a creative partner.
  • How it helps DX: Developers and designers gain inspiration and starting points for innovative projects.
  • Multidisciplinary impact: Collaboration thrives as teams use AI-generated ideas to spark discussions and refine concepts.

Conclusion

AI tools are redefining what it means to create a great Developer Experience. By streamlining workflows, automating repetitive tasks, and fostering collaboration across disciplines, these tools empower teams to focus on innovation and impact. As software development companies continue to integrate AI into their workflows, DX will become more seamless, productive, and enjoyable. For teams working together across multiple disciplines, the future of work has never looked brighter. The companies that embrace these AI-driven advancements will not only retain top talent but also set the standard for excellence in the software development industry.
Rod Aburto - Senior Partner

Rod Aburto

Senior Partner
New Year, New Skills: What to Learn in 2025 to Stay Ahead in Tech 

New Year, New Skills: What to Learn in 2025 to Stay Ahead in Tech 

Written by: Adolfo Cruz – 

New Year, New Skills: What to Learn in 2025 to Stay Ahead in Tech
As we enter 2025, it’s time to reflect on our goals and resolutions for the year ahead. For tech professionals, staying relevant in a rapidly evolving industry is both a challenge and an opportunity. Whether you’re a seasoned developer or just starting your journey, investing in the right skills can set you apart. Here are three critical areas to focus on in 2025: DevOps and Automation, Emerging Technologies, and Advanced Architectures and Patterns.

1. DevOps and Automation

The demand for seamless software delivery and efficient operations continues to grow, making DevOps and automation indispensable for modern tech teams. Here’s what to focus on:

Continuous Integration/Continuous Deployment (CI/CD)

Automating the entire software lifecycle—from code integration to deployment—is a cornerstone of DevOps. Learn tools like Azure DevOps, GitHub Actions, or Jenkins to build robust CI/CD pipelines. Dive into advanced deployment strategies such as:

  • Blue-Green Deployments: Minimize downtime by maintaining two identical environments.
  • Canary Releases: Gradually introduce changes to a subset of users.
  • Rolling Updates: Replace instances incrementally to ensure high availability.

Infrastructure as Code (IaC)

IaC allows you to manage and provision infrastructure through code. Tools like Terraform and Azure Resource Manager (ARM) enable scalable and repeatable deployments. Explore modular configurations and integrate IaC with your CI/CD pipelines for end-to-end automation.

Monitoring and Logging

Visibility is key in a distributed world. Learn tools like Prometheus and Grafana for real-time monitoring and implement centralized logging solutions using the ELK Stack (Elasticsearch, Logstash, Kibana) or Azure Monitor.
Containerization and Orchestration
Containers are a fundamental building block of modern applications. Deepen your knowledge of Docker and Kubernetes, focusing on scaling, managing workloads, and using Helm Charts to simplify Kubernetes application deployments.
Forma

2. Emerging Trends and Technologies

Groundbreaking technologies continuously reshape the tech landscape. Staying ahead means embracing the trends shaping the future:

Artificial Intelligence and Machine Learning

AI continues to revolutionize industries, and knowing how to integrate it into your applications is essential. Explore ML.NET to add machine learning capabilities to .NET Core applications. Expand your horizons by learning Python libraries like Scikit-Learn, TensorFlow, or PyTorch to understand the foundations of AI.
Cloud platforms like Azure Cognitive Services offer ready-to-use AI models for vision, speech, and natural language processing—perfect for developers looking to implement AI without reinventing the wheel.

Blockchain and Web3

Blockchain technology is evolving beyond cryptocurrencies. Learn how to develop smart contracts using Solidity or build enterprise blockchain solutions with Hyperledger Fabric. These skills can position you in areas like decentralized finance (DeFi) or supply chain transparency.

IoT and Edge Computing

The Internet of Things (IoT) is expanding rapidly. Use Azure IoT Hub to build solutions that connect and manage devices. Additionally, edge computing platforms like Azure Edge Zones allow you to process data closer to its source, enabling low-latency applications for IoT devices.

3. Advanced Architectures and Patterns

3. Advanced Architectures and Patterns

Mastering advanced architectures and design patterns is crucial for building scalable and maintainable applications as complex systems grow.

Design Patterns

Familiarity with common design patterns can elevate your problem-solving skills. Focus on:

  • Creational Patterns: Singleton, Factory, Abstract Factory.
  • Structural Patterns: Adapter, Facade, Composite.
  • Behavioral Patterns: Observer, Strategy, Command.

Distributed Systems

The rise of microservices and cloud-native development requires a deep understanding of distributed systems. Key topics include:

  • Service Discovery: Tools like Consul or Kubernetes DNS are used to find services in dynamic environments.
  • Circuit Breakers: Use libraries like Polly to manage failures gracefully.
  • Distributed Tracing: Tools like Jaeger or Zipkin for tracing requests across services.

Event-Driven Architectures

Event-driven systems enable high scalability and resilience. Learn about message brokers like RabbitMQ, Kafka, or Azure Event Hub. Study patterns like event sourcing and CQRS (Command Query Responsibility Segregation) for handling complex workflows.

Scalability and Performance Optimization

Efficient systems design is critical for modern applications. Master:

  • Caching: Tools like Redis or Azure Cache for Redis.
  • Load Balancing: Use solutions like NGINX, HAProxy, or cloud-native load balancers.
  • Database Sharding: Partition data to scale your databases effectively.

Conclusion

2025 is brimming with opportunities for tech professionals to grow and thrive. By focusing on DevOps and automation, emerging technologies, and advanced architectures, you can future-proof your career and make a meaningful impact on your projects. Let this year be the one where you embrace these transformative skills and take your expertise to the next level.

Adolfo Cruz - PMO Director

Adolfo Cruz

PMO Director

Fueling Continuous Improvement in Scrum Teams 

Fueling Continuous Improvement in Scrum Teams 

Written by: Yamila Solari – 

BLOG- Fueling Continuous Improvement in Scrum Teams
Continuous improvement is the ongoing process of analyzing performance, identifying opportunities, and making incremental changes to processes, products, and personnel. Scrum team leaders, Scrum Masters, team coaches, all are responsible for instilling a continuous improvement mindset in their teams and find better ways to maximize value, effectiveness, and growth.

Continuous improvement is an essential component of Scrum. Scrum’s three empirical pillars—transparency, inspection, and adaptation—ensure that continuous improvement is woven into the framework itself. Each Scrum event and artifact provides opportunities for the Scrum Team to continually inspect and adapt. In this article, I will cover important factors that contribute to the success of the philosophy of continuous improvement in a team, as well as some precautions necessary to keep teams motivated to improve.

Measuring Progress is Essential for Continuous Improvement

Measuring progress is crucial because it helps the team spot areas that need work, making improvement possible in every sprint. There are various ways to measure progress in Scrum, such as:

  • Checking if sprint goals were achieved
  • Using velocity (the rate at which the team completes work)
  • Tracking bug density
  • Using burndown charts

It’s important to pick the metrics that better allow you to see the progress in your project and set up a reliable system to track them. To avoid overwhelming your team, focus on just a few key metrics—somewhere between three and five. Also, stay consistent with the frequency of your measurements. Many experts recommend measuring after every sprint to keep a regular pulse on your team’s performance.

Elements that Promote Continuous Improvement in a Team

Elements that Promote Continuous Improvement in a Team

We, as humans, are wired for growth—which naturally requires change and adaptation. However, our brains also prioritize routine and efficiency, which can make continuous improvement tricky. Let’s look at some key factors that help foster a continuous improvement culture:

  • Psychological Safety

Cognitive Resource Theory says that when we’re under stress, we tend to revert to familiar routines rather than innovative thinking. Under pressure, decision-making abilities can decline, making it harder to adapt to new challenges.

This is why the first element to consider, as a team leader, is creating a psychologically safe space. Psychological safety is the belief that no one will be punished, humiliated, or ignored for speaking up with ideas, questions, or mistakes. When team members feel safe to share openly, they’re more likely to push for creative solutions and take on new experiments that drive improvement.

  • Transparent and Regular Feedback

In a high-performing team, members often share better ways of working with each other in real time. However, it’s also crucial to have dedicated events—like Retrospectives—where the whole team reflects on what went well and what could change. This practice reminds everyone to look inward for those gems of insight that can lead to significant improvements.

  • Represent Progress in a Graphic way

Using meaningful metrics or tracking tools is the third element. It helps the team visualize and understand their evolution over time. Whether it’s velocity, defect rates, or burndown charts, consistent tracking keeps everyone aware of the impact of their efforts and highlights where to improve next. Remember to display these graphics in a place of easy access for the team and refer to them during your Scrum ceremonies.

  • Frequently Sharing the Vision

A clear vision reminds the team why they’re doing what they’re doing. Reiterating the vision fosters alignment, engagement, and motivation. When everyone knows how their work contributes to the bigger picture, it’s easier to stay focused on improvement and long-term goals.

  • Empowering Teams with Autonomy

Ensuring a team has autonomy within the organization is a powerful motivator. When teams know their decisions will be heard and respected, they’re more intrinsically motivated to give their best and continually refine how they work.

  • Celebrating Success

Finally, celebrating success is a powerful way to cement progress in the team culture and keep up the momentum. Recognizing achievements—big or small—builds confidence and reinforces positive behaviors. When the team sees that progress is noticed and valued, they’re more willing to experiment and try new approaches.

The Double-Edged Sword of Continuous Improvement

Agile methodologies like Scrum and Kanban are designed to structure work so it’s efficient, transparent, and motivating for the team. Often, a team that consistently achieves its sprint goals is already high-performing and well-accustomed to improving continuously. However, when a high-performing team is making only minor improvements, metrics like velocity can become less meaningful, or even demotivating. Sometimes the numbers simply don’t show big jumps, but that doesn’t mean the team isn’t growing.

In these situations, the role of the team leader or Scrum Master becomes more relevant. As leaders, we should always be ready to pose questions to inspire our teams. Questions like what did we do better this sprint than the last?, In what specific ways are we a more high-performing team than before?, If our velocity has not changed, what has improved?, etc., help the team acknowledge they are moving forward even though the metrics may not show it. Also, reflecting on qualitative improvements—like deeper communication, willingness to take risks, and the ability to advocate for the team’s needs—plays an essential role in understanding true progress.

On the flip side, some teams lean towards complacency. They can be high performing for a while, but then they find Retrospectives no longer yield much value, start skipping them, and adopt a “there’s nothing to improve” attitude. Inevitably, any dip in velocity or other performance metrics will alert the team that something is amiss. At that point, the leader or Scrum Master can moderate a deep reflection on how the team allowed complacency to set in, and how to prevent it from happening again.

Ultimately, embracing a continuous improvement mindset requires a healthy balance. Experiment and try new ways to get better, but also recognize the diminishing returns that can appear once your team is operating at a high level.

Conclusion

Conclusion

Continuous improvement is a cornerstone of Scrum for a reason—it drives better outcomes, keeps people engaged, and helps teams adapt in a fast-changing world. As a business manager and team coach, I’ve seen firsthand how paying attention to psychological safety, feedback loops, and consistent measurements can ignite powerful changes in a team’s performance and morale. But remember, improvements can be both quantitative and qualitative. Recognize the accomplishments your team makes, even if they don’t always show up in velocity numbers. Keep finding ways to grow, and never underestimate the power of celebrating and reflecting on how far you’ve come. 

Yamila Solari

Yamila Solari

General Manager

Enriching the Space for Women in Tech: The Power of Circles 

Enriching the Space for Women in Tech: The Power of Circles 

Written by Yamila Solari – 

HOW WOMEN CIRCLES IN TECH SUPPORT DIVERSITY

Women have gathered in circles since the beginning of history, sharing stories, offering support, and cultivating growth—a practice that continues to shape the professional landscape today. In this article, I focus on professional women circles, which are created to support the advancement of women in the workplace. Specifically, I will share our own experience at Scio with our circles for women in tech, explore the impact these circles could have in the male-dominated tech industry and reflect on how men circles are also important to increase diversity.

Background

The history of women’s circles experienced a significant interruption during the 16th and 17th centuries. The rise of the witch trials in Europe led to the persecution of women who participated in these gatherings, forcing them to dissolve or go into secrecy. However, by the 19th century, women’s circles reemerged as organized clubs and societies in parts of the world, including the United States. These groups focused on education, social reform, women’s rights, and community improvement.

While the structure of these gatherings has evolved, their core purpose of connection and empowerment remains steadfast. Today, modern women’s circles address a wide range of interests, from spiritual exploration and collective healing to professional and personal growth.

Most recently, Sheryl Sandberg’s Lean In movement has reinvigorated the concept of professional circles by making them more accessible through free educational materials. Lean In circles emphasize leadership development, career advancement, and mutual support, among other topics, and have inspired countless women to create their own circles.

Our Experience at Scio

Our Experience at Scio

At Scio, we wanted to support women in tech and decided to start within our organization, so two senior colleagues and I began exploring options. We discovered LeanIn.Org, an organization that has inspired the creation of over 60,000 circles in more than 188 countries, with 85% of participants reporting positive changes in their lives due to their involvement.

We launched our first circle in June 2023 and have been meeting monthly ever since. Initially, we followed the topics provided by LeanIn.Org, but we soon began developing our own. These have included not only general leadership issues but also challenges uniquely faced by women in male-dominated industries. Topics have included Being the Only One in the Room, How to Respond to Microaggressions, Overcoming Self-Doubt, and Getting the Recognition You Deserve, among others.

In a recent retrospective session, participants shared how the women circle has benefited them:

  • Learning skills and tools to grow professionally
  • Building stronger relationships with other women in the organization
  • Increasing self-confidence by reflecting on achievements
  • Becoming more assertive
  • Feeling supported by other women
  • Gaining the courage to try new things

One participant shared how strategies discussed in the circle encouraged her to advocate for her ideas during a critical project meeting. Another mentioned that the circle’s support was invaluable during a turbulent personal time. These achievements fill us with pride and determination. We plan to continue meeting monthly, rotating moderation and topic preparation to develop leadership skills further.

Women in Tech Circles Can Support Diversity

Globally, only 47.7% of working-age women participate in the workforce. In technology-related fields, women make up less than a third of the global workforce, according to the World Bank. The picture is slightly better in advanced economies like the United States, where women held 35% of tech jobs at the end of 2023. However, their representation drops to less than one-third in leadership positions.

In LATAM, representation varies by country. For instance, women make up an average of 20% of the tech workforce in Brazil and 17% in Mexico. While progress has been made in promoting the entry of women into the industry, much work remains to be done.

At Scio, we’ve found that women’s circles effectively empower women in tech to overcome obstacles in their careers and help them remain in the industry. While quantitative data on the direct impact of women in tech circles on increasing diversity is limited, we believe these groups can also serve as a tool for attracting more women to tech. By creating and publicizing spaces that specifically support women, companies can demonstrate their commitment to fostering an inclusive environment.

Men’s Circles Are Important Too

Men’s Circles Are Important Too 

Professional men’s circles, while sometimes critiqued for perpetuating exclusivity, can play a pivotal role in advancing workplace equity. By incorporating discussions on gender dynamics and the unique challenges faced by women in tech, these groups can raise awareness and inspire male professionals to become allies. Programs like Catalyst’s Men Advocating Real Change (MARC) exemplify this approach, equipping men with the tools to advocate for gender equality within their organizations. 

Engaging men in these conversations is essential, as their involvement significantly enhances the success of equity initiatives. Research indicates that such programs are three times more effective when men actively participate. By fostering understanding and allyship, men’s circles can support individual growth and drive systemic change toward more inclusive workplaces. 

Create Your Own Circle 

Whether you’re seeking personal support or aiming to foster inclusivity in your organization, professional circles can be a transformative tool. If you cannot find a circle to join, create one yourself. Resources like Lean In Circles or WomenTech Circles offer guidance on getting started. Once you’ve mastered the basics, explore other topics that resonate with your group. The key is to take the first step—because creating a circle can lead to meaningful change, one meeting at a time. 

To learn more:

The Global Women’s Workforce

The Women Tech Talent Landscape in LATAM

Women in Tech: How Companies Can Attract, Support, and Retain Them

Transform your workplace culture

Thought Leadership: How men can advance gender equity at work

Yamila Solari

Yamila Solari

General Manager