All use-cases

Onboarding AI is simple.

AI is fuel, not a science project — buy it cheap, pour it into tools that already work.

The whole flow, end to end

Mail = email sent Bell = in-app alert Diamond = decision / gate Amber = guru trap — avoid
2 · SET UP & GO LIVE 1 · CHOOSE YOUR SETUP SET UP USERS — end to end Discovery name the job AI should do Build it yourself? Pick the job + proven engine Jira · Harvey · Shopify · Claude Code Data sensitive? Buy AI as fuel — your own key BYOK · pay per use · you own the bill Fits the budget? approval request Connect the engine paste API key — fuel starts flowing Send invite link invite email out Set password + MFA strength check · TOTP authenticator Assign role + permissions scoped access — least privilege User active in-app welcome alert Integrate CRM sync · in-app + email Pilot with a small group Pilot passes? Security / compliance OK? Go live go-live notice: email + in-app no no yes ok Custom GPU + consultants 6–12 months yes $$$$ slow may not work DEAD END On-prem / hybrid data stays in-house yes Re-scope fewer features, re-request no resubmit Iterate / switch engine then re-pilot no re-pilot Remediate fix findings, harden, re-check no re-check approve then

Most teams never touch the guru trap. The engine already does the job; AI just makes it smarter — and every gate keeps it honest.

What I do — honestly

  • Your own key, your own bill — vendor cost passed through at cost.
  • Users and access set up properly — invite, MFA, roles.
  • I don't sell you AI. I make the cheap, proven path work — no guru.