From Prototype to Production: Governing AI-Assisted Delivery in the Enterprise
From Prototype to Production: Governing AI-Assisted Delivery in the Enterprise
AI-assisted development has moved from experiment to production faster than most delivery frameworks were geared to handle. Across organizations, project managers are watching teams ship code generated by large language models and AI coding assistants. Organization policies on AI-assisted work might not have caught up, especially around change controls, audit trails, or risk assessments that govern any other production-bound work. The speed at which AI builds is exponentially faster than the speed at which a human can review. Glossing over control gates exposes the organization to risk.
What You'll Learn
Key takeaways from this session
How to recognize the specific governance gaps that emerge when AI-assisted development scales inside an organization, and where they are most likely to surface first.
Updates to your threat modeling framework to account for LLM-specific risks in delivery workflows.
The distinction between planned gates (between lifecycle phases) and triggered stops (irreversible-action conditions) that an AI agent must respect mid-task, and how to identify where each belongs in your own delivery process.
An “accuracy contract” pattern that prevents the drift between what stories claim and what code actually does, a common failure mode in AI-assisted backlogs.
A living security, privacy, and compliance traceability register approach that updates in lockstep with change rather than at audit time, including the triggers that force an update.
Earn PDU Credits
PMI Professional Development Units
Total PDUs Available
For credential maintenance
PDU Breakdown
Ways of Working
Technical & process skills
Business Acumen
Strategic & organizational
Power Skills
Leadership & interpersonal
Watch the complete webinar to claim your PDU credits and maintain your PMI certification.
About the Presenter
Charan Atreya
A Lean/Kanban practitioner and business transformation consultant with focus on improving organizational performance & productivity by redesigning systems, workflows, and constraints rather than relying on traditional project-management controls. Unlike many consultants who market “Agile” as a framework, Charan leans more toward flow efficiency, constraint management, and systems design—closer philosophically to Lean manufacturing and Theory of Constraints than mainstream debunked Scrum-centric Agile thinking.
