Stop hoping everyone figures out AI on their own. Give them one playbook.
The assistants will change — Claude today, Gemini next quarter, something that doesn't exist yet after that. Your company's AI playbook shouldn't have to change with them.
configuration | noun
A shared AI setup — instructions, skills, and workflows — available in every assistant, so good practice doesn't depend on who happened to discover it.
Write once. Share everywhere.
Company-wide AI playbook
Capture your tone, conventions, and proven workflows in one place and make them available in every assistant via MCP (Model Context Protocol — the open standard that lets AI tools receive configuration from external systems). A new hire on day one gets the same AI setup as someone who's been using it for a year.
Department-level configurations
What engineering needs from AI is fundamentally different from what sales or legal needs. Give each function its own playbooks and skills.
Vendor-independent by design
Built on MCP, the open standard for AI tool integration. When you switch assistants, add new ones, or sunset old ones, your configurations come with you — no migration, no rework.
How a company works is too important to be locked into one AI vendor.
Manage playbooks, skills, and tools from a single dashboard. Every department gets the right setup, in every assistant.
Three gaps in most AI rollouts
- Invisible
No department-level data on who uses AI or how
- Inconsistent
No shared playbook — 200 people, 200 setups
- Unaccountable
No ROI proof — just anecdotes and gut feel