Looking back at 2022–25, a clear playbook emerged for enterprise AI: start small but serious, invest in evaluation and governance early, and treat AI as a capability, not a gadget.
It is easy to forget how different the world of AI felt in early 2022. Large models were impressive but fragile; few enterprises had live deployments; and most experiments lived in isolated labs. By mid-2025, the picture looked very different: dozens of teams inside a single company might be touching AI in some way.
A Simple Enterprise AI Playbook
- 1Pick one or two use cases where you can prove value in 90–180 days.
- 2Stand up a minimal evaluation and governance stack before launch.
- 3Design change management as carefully as prompts and architectures.
- 4Measure impact in the metrics your business already cares about.
- 5Turn the first success into a case study and an internal playbook.
The companies that followed some version of this playbook didn’t just ship cool demos between 2022 and 2025 - they built foundations that will support whatever comes next.
Building something in this space?
We'd be happy to talk through your use case. No pitch - just an honest conversation about what's feasible.
Book a 30-minute callKey takeaways
- The most successful programmes picked one or two high-leverage use cases first
- Evaluation and governance created speed, not bureaucracy, when done well
- Org design (who owns what) mattered as much as technical architecture
- Real-world reference stories beat any number of generic case studies
- AI became part of the fabric where teams could see their own fingerprints on it
