Artificial Intelligence becomes truly valuable when it’s applied to real problems — inside real teams, working on real client challenges.
Across the projects we support, our teams are integrating AI tools thoughtfully and responsibly to improve productivity, accelerate delivery, and enhance collaboration — always within client-approved guidelines and with human oversight at every step.
Below are a few examples of how our teams at Excel Nearshore are using AI across different industries and project types.
Teams supporting a digital payment and mobile parking platform use tools such as ChatGPT, JetBrains AI, and Microsoft 365 Copilot to assist with:
- Generating and refining unit tests
- Creating meeting transcriptions and summaries
- Supporting documentation and technical notes
All usage follows strict validation processes to ensure no sensitive information is shared. By automating these operational tasks, the team can dedicate more time to higher-value work such as architecture design, requirement validation, resolving technical inquiries, and infrastructure planning.
AI here acts as a productivity enabler — helping engineers focus on decision-making and system design rather than repetitive tasks.
In a media and broadcasting environment, AI is deeply embedded into the development workflow as part of the client’s approved toolset.
Teams working across Costa Rica and the U.S. use a combination of:
- GitHub Copilot with multiple large language models
- AI plugins integrated into Android Studio, Xcode, Visual Studio, and VS Code
- AI services within cloud platforms for development and deployment
These tools help interpret error logs, understand API documentation, generate initial versions of UI components, utilities, and features, and accelerate troubleshooting in production environments. The result has been faster delivery cycles, quicker resolution of critical bugs, and a smoother learning curve when adopting new technologies.
A notable success in this environment was the automated configuration and publication of over a hundred white-label mobile applications. AI-supported code agents helped generate CI/CD workflows and streamline deployments across app stores, saving days of manual work — all while maintaining full developer review before release.
Teams working with data-driven and customer intelligence platforms use tools like ChatGPT and Claude on a daily basis to support development and analysis.
AI assists with:
- Reviewing and improving code quality
- Exploring alternative implementation approaches
- Visualizing workflows to better understand complex processes
In parallel, AI is also part of the client’s own product offering — for example, generating structured data vectors from customer information. Internally, tools like Copilot help summarize findings, enhance code clarity, and accelerate iteration cycles.
Here, AI acts as both a development accelerator and a thinking partner, helping teams reason through complexity more effectively.
AI as a Capability, not a Shortcut
Across all these environments, one principle remains consistent: AI supports the work — it doesn’t replace it.
Every output is reviewed, validated, and refined by experienced professionals. AI helps reduce friction, speed up repetitive tasks, and surface insights — but accountability, judgment, and decision-making always remain human.
This is how we help our clients adopt AI responsibly: by embedding it into real workflows, aligned with business goals, security standards, and team expertise.
Building Smarter Solutions Together
AI looks different depending on the industry, the team, and the challenge — and that’s exactly the point.
When combined with the right people and processes, AI becomes a powerful ally for delivering better, faster, and more sustainable solutions.
Curious about how AI could support your teams and projects?
📩 Let’s Talk About Practical AI
Let’s explore how AI can help your organization move forward — strategically, responsibly, and with impact.