Source note
Staff may use the approved AI tool for public documents. Client records need a separate review.
Enterprise adoption
Different teams.
Different ways AI gets it wrong.
A finance team needs to check the numbers. Human resources needs to catch a policy summary that dropped an exception. Leaders need to spot a claim with no source. I teach each team where AI fails in its work and how to catch it.
From $15,000
custom scope quoted after a discovery call
📅 Book a free discovery call →
Try the Catch Test →The program
Six weeks to make the rules usable.
I begin with leadership alignment and a baseline. For a Microsoft organization, each role then practices inside the Microsoft 365 work it already owns while respecting tenant access, data rules, and human sign-off.
The approved tools may also include ChatGPT Enterprise, Claude for Work, or Gemini for Google Workspace. People learn to check claims, trace sources, and notice missing context across them. Access and features differ, so practice uses what your team can actually use.
Managers learn the same checks. Teams return to practice them. Leaders get a plain readout on which errors people caught, which they missed, and what needs more work.
Buying the tool was a technology decision. Getting humans to use it well is a management decision.
Boundaries
Training and adoption support. Not a hidden build team.
I do not deploy AI systems, run the organization's tools, or select vendors for a commission. Those lines matter. They keep the advice independent and the internal owners responsible for their own systems.
The program can include leaders, managers, and role-based work. The final scope follows the people, tasks, and risks that are actually present. A prewritten menu cannot know the company.
Try the check
The policy sounds simpler now. Too simple.
Made-up teaching example. This is not a client result or a captured tool response.
Practice AI summary
Staff may use the approved AI tool for documents.
Show how to catch it
Restore the limit
The summary dropped the client-record rule. Compare each permission with its exception. Keep the separate review in the final guidance.
Give every team the same standard.
Give each team checks that fit its work, with clear rules for when a person must step in.
Compare ongoing advisory