A single standard for how your company uses AI
The AI Playbook is your company's operating manual for AI — what's allowed, who decides, how data is handled, and how teams actually use it day to day.
What it is
What is an AI Playbook?
A living document, the Playbook is built from the Sprint: current tools, data sensitivity, leadership decisions, employee questions, practical use cases, and educational material. Written for the people who actually do the work.
It sits next to your employee handbook and is updated as your stack, team, and risk profile evolve.
Why it matters
Why every SaaS company needs one
- Replace shadow-AI with sanctioned, repeatable patterns.
- Move faster because rules are explicit, not implied.
- Pass security and procurement reviews with confidence.
- Onboard new hires into your AI culture, not just your tools.
What it includes
AI usage principles and decision rules
Approved and blocked usage patterns, when to use AI, when not to use AI, and who decides.
Tool and workspace standards
Approved tools, access rules, workspace setup, ownership, and cost visibility.
Data handling and privacy rules
Data classification, sanitization patterns, restricted data rules, and escalation paths.
Role-based use cases
Practical workflows by department: marketing, sales, support, HR, product, and more.
See Use CasesPrompt, skill, and workflow templates
Reusable instructions and patterns employees can adapt without starting from a blank chat box.
Human verification and incident response
Review standards, failure modes, customer-facing risk, hallucination handling, and unapproved tool usage.
What may come after the Playbook
Once the Playbook exposes the operating model, some teams choose separately scoped advisory work: private AI infrastructure, token cost optimization, or knowledge base for better context.
View Advisory ServicesReady to build your AI Playbook?
Start with an AI Adoption Review to see how the Playbook would take shape for your company.
Book an AI Adoption Review