
An operating review for your AI workflows
We join available billing, usage, and workflow review records into an operating report. Cost is assessed alongside human checking and correction, so cheaper output is not mistaken for better work.
How we put it to work
Step 1 of 3
Establish the actual cost of a workflow.
We reconcile subscription invoices and usage records with the work they support. Missing usage data stays visible, and shared costs use an agreed allocation rather than a hidden assumption.
Your teamConfirms the bills, allocation method, and what counts as accepted work.
Step 2 of 3
Find the expensive rework.
Calculations compare volume, review time, corrections, and cost per accepted result. AI summarizes recurring feedback with links to the reviewed examples.
Your teamChecks the evidence and decides which issue matters most.
Step 3 of 3
Test before changing the live process.
We compare proposed prompt, rule, or model changes on an agreed test set. Releases need quality checks and a rollback plan; unused subscriptions are only removed after owner approval.
Your teamApproves the change, spending decisions, and acceptance criteria.
What your first engagement includes
- 01Review your setupConfirm existing features, data access, and system compatibility.
- 02Configure one workflowConnect the tools, define approvals, and handle exceptions.
- 03Test and hand overPilot on selected work, train your staff, and provide operating instructions.


