Custom Builds · AI Operations
Use AI to prepare the work. Keep people accountable for the decision.
Good AI candidates are repetitive, bounded preparation: document fields, summaries, drafts, routing suggestions. Everything else starts as a question, not a project.
The control loop
Approved source, proposed output, human accept-correct-reject, an exception queue, and a review pattern. Every consequential output has a named human owner.
Technical and data discovery
Allowed data, vendor terms, retention, the reviewer, audit needs, and the fallback are decided before a workflow ships — not after an incident.
Where to start
One repeat task with a competent reviewer beats an AI roadmap. The free AI Operations Audit exists to find that task.
Boundary. No accuracy guarantee, no autonomous professional advice, no binding, no client commitment, no money movement, and no universal data suitability.