Backlog at Lightspeed
Requirements work is often the slowest part of the delivery process, even for high‑performing teams. This session introduces a practical, field‑tested playbook that uses a coordinated team of specialized AI agents to accelerate the workflows of Product Owners and Business Analysts. Through a structured multi‑phase approach, these agents support stakeholder discovery, user research, process modeling, risk analysis, feature decomposition, and backlog refinement—while humans remain fully responsible for decisions, quality, and alignment. The result is a complete, traceable, architecture‑ready backlog produced in a fraction of the time. Attendees will learn how to bring AI upstream responsibly, reduce rework, and give teams the clarity they need to start strong.
Learning Objectives
- Master AI‑accelerated requirements workflows: Learn how coordinated, role‑specific AI agents streamline stakeholder discovery, user research, process modeling, and backlog refinement.
- Apply a structured multi‑phase playbook: Understand a repeatable approach for producing complete, traceable, architecture‑ready backlogs at speed.
- Integrate AI responsibly in early product work: Learn how to bring AI upstream while preserving human ownership of decisions, quality, and alignment.