AI Development Governance: The 3 Collaboration Models

As AI tools become integral to software development, teams face a critical choice: How should humans and AI collaborate? This session introduces a practical framework with three distinct collaboration models—AI-Assisted, Hybrid, and Agent-Driven—each with specific governance requirements, risk profiles, and validation strategies.

We’ll demonstrate live how to choose the right model for your task, implement minimal viable governance, and avoid the top pitfalls that derail 70% of AI projects. Attendees will leave with actionable checklists and a decision tree they can apply immediately in their teams.

Learning outcomes:
• Understand the 3 AI collaboration models and when to apply each based on task complexity and risk profile
• Learn how to implement “validation as the new bottleneck” with a 3-layer approach (automated, AI-assisted, human)
• Get practical checklists: Definition of Done per model, risk assessment, and metrics to track
• See live demos: Model 1 (code completion), Model 2 (CI/CD pipeline), and Model 3 (agent system with approval gates)
• Apply a decision framework that helps teams move from chaos to trust in AI-driven development