Everyone's building agents. Almost nobody has momentum.
We implement AI operations with judgment — governance, workflows, and systems your team actually uses. Tools don't create transformation. Operators do.
Most companies aren't short on AI tools. They're short on momentum. They run pilots. They tell teams to “try AI.” Then nothing compounds — because a tool isn't a system, and a system is what actually changes how work gets done.
The CRAFT method.
Five stages, run in order, every time. Not a framework you customize away — a cycle you repeat.
Clear Picture
Define the real workflow and what “good” looks like — before anything gets built.
Realistic Design
Scope it honestly. Assess what's actually feasible, and sequence the work so it compounds instead of overwhelming.
AI-ify
Turn the way your team thinks, decides, and delivers into a structured, AI-executable playbook.
Feedback
Run tight feedback loops with the people who actually do the work — without losing momentum.
Team Rollout
Hand off, train, and support adoption, so the system is trusted and actually used.
Certified AI Operator credential, The AI Exchange (now AMP).
Six roles. Not six hires.
You already have half of this team. We bring the other half.
CEO
Owns the mandate — the budget, the risk, the “yes.”
Visionary
Sets the strategy — what should be worked on, and why.
Subject Matter Experts
Hold the real, tacit expertise that gets codified into the playbook.
AI Operator
Runs the CRAFT cycle: interviews SMEs, scopes and writes the playbooks, drives adoption.
AI Implementer
Builds and integrates the actual automation.
Governance
Keeps it safe: data protection, responsible-use guardrails, a human in the loop where it matters.
Nina leads the Operator role and coordinates specialist contractors for Implementer and Governance, scaled to the engagement — a small senior team, not a big anonymous consultancy.
Governance isn't a checklist. It's a role.
Most AI-operations offers treat governance as a line item — a policy signed once and forgotten. We build it in from the first stage — data protection, responsible-use guardrails, and a human in the loop wherever it actually matters. It's also its own workshop, for teams who want to start there.
Certified AI OperatorThe AI Exchange / AMP
Claude PartnerAnthropic