Across agencies, leaders are moving away from big, multi-year IT projects toward continuous product delivery. AI makes that shift more urgent.
A traditional system can be built, accepted, and maintained. An AI system can't be treated that way, because:
- Models evolve quickly
- Data pipelines have to stay healthy
- Model behavior needs monitoring
- User expectations keep moving
- Policies and guardrails keep changing
In our work with government teams, the best outcomes come from treating systems as living products, not one-time implementations. That means a standing team, a backlog that outlives the first release, and a regular review of what the system is doing in production.
AI forces us into product thinking. That's a good thing.
How we work
Stage 04 of our method, Evolve in production, is a monthly review of where people override the AI, what to redesign, and which tasks have earned more autonomy.