Embedding Copilot agents to streamline product delivery

A practical pilot that reduced drafting time, improved documentation quality, and accelerated alignment across product, UX, and engineering teams.

AI-assisted delivery Cross-functional adoption Quality and speed Scalable workflows
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8-step delivery timeline

  1. Step 1 - Agent setup
    Configured the Copilot agent with a base prompt framework for story drafting, acceptance criteria, and summaries.
  2. Step 2 - Team validation
    Shared with a small cross-functional group to validate usability and early outputs before wider rollout.
  3. Step 3 - Pilot kick-off
    Aligned on objectives, candidate use cases, and success measures in a concise kick-off session.
  4. Step 4 - Participant instructions
    Provided clear how-to guidance and a context-first prompting approach to improve output quality.
  5. Step 5 - Pilot check-in
    Held a mid-pilot review to gather feedback, resolve blockers, and refine usage patterns.
  6. Step 6 - Expanded configuration
    Expanded the configuration for wider context.
  7. Step 7 - Azure connection
    Connected Copilot to Azure to enhance product delivery through improved chats.
  8. Step 8 - Portfolio focus groups
    Ran focus groups per portfolio to review impact, demonstrate use cases, and decide next steps for scale.

Outcomes

2 hours
saved per epic on requirements preparation
10–15 min
to ideate responsive UI layout options
Earlier
cross-functional alignment on stories and acceptance criteria
Consistent story structure with clearer acceptance criteria.
Context-first usage led to higher quality outputs.
Azure connection improved relevance in discussions.
Templates and guidance created a repeatable, scalable workflow.