# Playbooks

Evergreen checklists for governing and scaling AI in a regulated enterprise.

- [Governing coding agents in a bank: a 12-point checklist](https://muthub.org/playbooks/governing-coding-agents.md): The controls a regulated enterprise needs before coding agents write production code at scale. One page, kept current, meant to be copied into your own standards.
- [An AI operating model for a bank: ten decisions to make before the twentieth use case](https://muthub.org/playbooks/ai-operating-model-for-a-bank.md): How a regulated bank should organize, fund, govern and measure AI so that the first few wins turn into a portfolio instead of a pile of pilots.
- [Gating AI investment: eight gates from pilot to production](https://muthub.org/playbooks/gating-ai-investment.md): A stage-gate checklist for funding AI use cases in a regulated enterprise: what evidence each gate needs, so money follows results instead of enthusiasm.

---
Muthukrishnan (Muthu) Bommiah · https://muthub.org · Views are my own and do not represent my employer.