Before
- Different agent setups and working habits across the teams.
- Useful practices depended on individual enthusiasts.
- Unclear handoffs and inconsistent checks limited delivery gains.
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Standardization
151% higher delivery velocity
Three delivery teams · 15 developers
Three teams increased delivery velocity by 151% after replacing scattered AI setups with shared agent configurations, working practices, training, and verification.
Impact
- Higher delivery velocity
- 151%
- Lower change failure rate
- 15%
- Developers across three teams
- 15
Shared setup, practical training, and repeatable verification helped all three teams deliver more.
The challenge
Developers were already experimenting with AI, but the teams used different tools, prompts, and configurations. Useful practices stayed with individuals, and agent output needed inconsistent amounts of manual checking.
An earlier attempt at highly autonomous delivery had stalled. Clear instructions, reliable checks, and agreed handoffs were missing, so the teams needed a repeatable foundation before extending automation.
What we changed
Make delivery repeatable
The teams agreed how work should move from a ready ticket through implementation, testing, and review. Coding standards, ownership, and automated checks created a consistent definition of done. Ticket preparation, code analysis, and review support became reusable workflows, while developers retained responsibility for consequential decisions and releases.
Train developers in everyday use
Practical workshops helped developers define tasks, provide useful context, delegate work, and verify the results. Shared onboarding let more people adopt the agreed practices without rebuilding their setup.
Before and after
After
- Shared configurations and reusable workflows across all three teams.
- Developers knew how to delegate work and check the output.
- Clear ownership and automated verification supported higher throughput.
Results
Delivery velocity increased by 151%. Change failure rate fell by 15%, with other delivery measures broadly stable.
What changed for the team
Agent adoption became a shared delivery practice across all 15 developers. Standardized setup, training, ownership, and verification created a foundation the teams could reuse for further automation.
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