NOMINATION HIGHLIGHTS

Sigma Software is a global engineering company building complex, security-critical digital systems. Today, the company brings together 2,000+ specialists across 20+ countries, working with clients from industries ranging from Aviation and Automotive to FinTech, AdTech, and logistics.

At Sigma Software, we are not adopting AI, we are redefining how our organization operates in the AI-native era. AI is not a capability or a set of tools. It is embedded into how people think, make decisions, and deliver value across all business functions and engineering workflows.

This culture is built on a clear foundation. At its core are key pillars: AI-assisted engineering, workflow automation, secure and ethical AI use, and continuous enablement. These principles guide how teams adopt AI and integrate it into daily work.

To make this culture actionable, we introduced AI Compass, a strategic framework that helps our clients understand where they are today, define where they want to be, and navigate a structured transformation path to get there. The same approach is applied internally, where all business units, including non-technical functions, are progressing through AI adoption at different stages and require tailored paths forward.

This foundation is driven through our AI Excellence Program, which embeds AI into the full software development lifecycle and ensures that best practices are scaled across teams.

AI adoption at Sigma Software is co-created and continuously evolved by our people. Through our network of AI Champions, every business unit identifies operational challenges and pilots solutions that improve everyday work, both at Sigma Software and of our clients. Company ideathons generated 150+ ideas, many of which are already evolving into pilots and internal products.

This has fundamentally changed how teams operate: AI is no longer introduced to them, it is initiated by them.

A strong culture requires clear guardrails. A dedicated AI Center of Excellence ensures that every solution meets strict standards for security, compliance, and ethical AI use, creating a safe environment for experimentation and scaling.

Leadership and communication are critical to sustaining this culture. Weekly AI podcasts from C-level, leadership sessions, open Q&A formats, and regular AI digests keep teams aligned on priorities, tools, and progress. Engagement across these channels reaches 75–90%, reflecting high levels of involvement and trust. Continuous R&D and internal tool development ensure that AI adoption evolves with the business. Teams actively build and scale AI solutions across delivery and operations, turning experimentation into repeatable practices.