Discover
How to run an AI readiness assessment for an SMB client
Shadow-AI discovery without an inquisition: the staff survey, the subscription review, the stakeholder interviews, and how to turn findings into a deliverable a client will pay for.
Guides
Practical guides to running AI governance
Written for the people who actually have to do this work: MSPs, vCIOs, and SMB IT teams. No framework tourism, no certification promises — just the sequence, the decisions, and the parts that go wrong.
These follow the same method as the AI Guardrails Kit: Discover what is already in use, Decide Conditional-first, then Operate with a light review cadence. Each guide stands on its own and is free to read.
Start here
By phase
Decide
Building an AI tool approval workflow that people actually follow
Why blanket bans create shadow AI and blanket approvals create exposure. The Conditional-first intake, the four verdicts, and when a Conditional earns a Promote.
Operate
Turning one-off AI policy work into a recurring service line
Why the quarterly review is a genuine recurring need rather than an invented retainer — and how to package it without becoming the client's AI help desk.
Commercials
How to price an AI governance engagement
Three packaging models and their honest trade-offs, what actually drives cost, and the statement-of-work language that keeps scope from drifting into free consulting.
If you would rather not start from scratch
The kit is these guides, already written out.
Everything above describes the method. The AI Guardrails Kit is the method as editable artifacts: 46 templates and documents, 6 tool rollout playbooks, and 16 completed sample artifacts showing what "done" looks like. The MSP Pack adds client pitch, discovery agenda, scope language, and a practitioner license for use across engagements.
Operational templates only — not legal, compliance, privacy, security, HR, or professional advice. Seller: CurioHausCo LLC.