Build, integrate, QA, launch, then train the team.
We implement the blueprint inside your real tools, test it against edge cases, then ship a system that survives production.
Unlocked after the AI Ops Readiness Scorecard (and usually after the Blueprint Sprint).
Implementation requires a clear blueprint. The Scorecard tells you whether you need the Blueprint Sprint first.
What you get
- Working workflows in production (CRM, calendar, email, SMS, phone)
- Integrations and routing (lead intake to next step, no dead ends)
- QA against test cases (not vibes)
- Monitoring basics (alerts, failure handling, recovery steps)
- Launch plan plus team training
- Documentation for handoff and ongoing ops
How it works
1
Confirm scope and success metrics
We lock in what we are building and how we will know it works.
2
Build and QA in stages
No big bang launches. We build, test, and iterate in phases.
3
Launch, train, and stabilize
Go live, train your team, and make sure everything holds under production load.
This is not for you if
- You want "set and forget" automation
- Your team refuses to use the process
- You will not measure outcomes
Ready to build?
Start with the Scorecard. It confirms whether you need the Blueprint Sprint first or are ready to implement.