Free workbook · For enterprise leadership and IT teams

Enterprise AI deployment, done properly

This workbook is your step by step guide to deploying AI across your enterprise: which teams and workflows to start with, how AI connects safely to your systems, the security and compliance rules, and a staged rollout from one pilot team to the whole company. By the end you'll have a deployment plan you can hold any vendor or consultant to.

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The Enterprise AI Deployment Workbook cover
Part 1
Deploying AI across your enterprise
19 pages · worksheets · checklists
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What's inside

Part 1: Deploying AI across your enterprise

Turn "I should really get AI doing this" into a plan you can hold any builder to. Three steps, each with worksheets you fill in for your own business.

Business case clarity
01

Map what each team spends its week on, and what idle AI seats and duplicate AI tools cost you.

Security and compliance
02

Connectors and access per person, read-only first, what AI may see, and the logs your security team will ask for.

Staged rollout
03

Go from one pilot team to the whole enterprise in four stages, each one working before the next.

A look inside

Worksheets, not theory

What AI should do for each team
What AI should do for each team
AI on its own, and with a proper deployment
AI on its own, and with a proper deployment
Data rules before anything connects
Data rules before anything connects
Roll it out in four stages
Roll it out in four stages
Built this way, in production

We got the whole executive team of a $100 million brand working in one AI within weeks.

Weeks

for their whole executive team to be working in one AI

3,586

published expert answers reused by AI at a $50 million B2B ecommerce company

Per person

access set by tool, data source and value at that same company

Who it's for

Leaders who want AI deployed properly, not piloted forever

  • Enterprises rolling out Claude, ChatGPT or Copilot across their teams.
  • Leaders looking for a fractional AI lead to own the deployment.
  • IT and ops teams connecting AI to internal systems.
  • Teams that need AI to meet GDPR, security and internal data rules.
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