We work with over a thousand software development organizations transitioning to AI-Driven Development in regulated, multidisciplinary product industries. Our focus on the multidisciplinary product context layer from requirements through release provides a unique vantage point for best practices in AI adoption. The fundamental patterns we see are:
- AI product velocity gains are real | Companies must adopt AI-Driven Development to stay competitive.
- Software leads | Software teams are leading the way in AI adoption at regulated multidisciplinary product companies, and their success patterns are likely to be leveraged across engineering disciplines.
- Coding is no longer the bottleneck | The speed of AI coding agents has shifted the constraints upstream (requirements, context engineering) and downstream (testing, integration, compliance)
- Phased adoption | The most successful teams make specific choices of how much process reconfiguration and retooling they undertake in a given timeframe.
To support our customers, we have developed an AI Adoption Maturity Model and playbooks for each level of adoption leveraging Jama Connect. Jama Connect supports all upstream (requirements, context engineering) and downstream (integration, testing, compliance) activities from AI coding agents.