How should PMs structure collaboration between data scientists, engineers, legal, and UX teams when developing Agentic AI features?

PMs should structure collaboration for Agentic AI features by aligning teams around clear goals, shared accountability, and iterative validation approach:

1. Cross-Disciplinary Alignment

• Establish a common AI vision with shared KPIs.

• Hold regular syncs to ensure alignment on AI behavior, risks, and UX impact.

2. Parallel & Agile Workflows

• Data Scientists: Develop & refine AI models with ethical constraints.

• Engineers: Ensure scalable, reliable AI deployment with guardrails.

• Legal: Assess compliance, privacy, and risk mitigation.

• UX Designers: Optimize transparency, user control, and AI explainability.

3. Risk-Aware Development

• Implement AI testing sandboxes for safe iteration.

• Use cross-team approval gates before launching AI autonomy.

4. Continuous Feedback & Governance

• Collect user & stakeholder feedback early.

• Establish a Responsible AI review board for long-term oversight.