Scaling & Governance Starter Kit

Lightweight structure that lets you scale without breaking things.

Why This Exists

Scaling AI across a team doesn’t just mean using more tools.

It means creating just enough structure to:

Stage	Focus	Signals You’re Here
Pilot	Proof of concept	1–2 test cases, CMO-driven, manual effort
Adoption	Team buy-in	Team self-initiates use, documenting wins
Workflows	Operational loops	Shared processes, playbooks, early rules emerge
Culture	AI is default mode	Rituals, team fluency, async ops, feedback integrated

Tip: Use this in workshops or retros. Ask: What would move us one level up?

Layer	Description	Example
Access Control	Who can use what tools, for what tasks?	SDRs can use AI to draft, but not send emails
Prompt QA	Standard for tone, facts, and brand before publishing	Checklist for AI output: Is it accurate? On-brand? Clear?
Approval Loops	What must be reviewed by a human?	Blog posts require content lead review
Logging & Review	Can you track and audit AI usage?	Monthly report of top prompts and flagged outputs

Tip: Start with 2 layers max. Add others only as risk or scale increases.

Pick 1–2 use cases. Run them. Capture wins.

Turn the win into a repeatable loop. Document the workflow and prompt.

Socialize the success across teams. Show time saved, velocity gained.

Add 2–3 more use cases. Apply governance. Track adoption.

Use Case	Owner	Live?	Reviewed?	Notes
Blog repurposing	[Name]	✅	🟡	Still missing prompt QA stage
Demo email follow-up	[Name]	✅	✅	Auto-routed to SDRs
Campaign recap slides	[Name]	🟡	❌	Needs better input formatting