Make your data ready for copilots and agents
Copilots stall when answers disagree with reports, and agents can't be trusted to change data. Data Workers gives every AI tool governed context and a controlled way to act.
Before and after
| Today | With Data Workers |
|---|---|
| Copilots on whatever tables they find | Governed definitions served over MCP |
| Definitions that conflict | Conflicts reconciled before AI reads them |
| Agents that can't safely change data | Changes proposed, approved and receipted |
| No record of what AI touched | A full audit trail of AI actions |
How it works
1. Reconcile meaning
Data Context Wizard finds conflicting definitions and stewards settle them.
2. Serve governed context
Every copilot and agent reads governed definitions with provenance over MCP.
3. Gate every change
Agent changes go through diff, blast radius, approval and receipt.
The impact metrics we move
- •Conflicting definition reconciled: from about a month to 8 h
- •Copilot answer with provenance: from about a day to seconds
- •Agent change approved: from about a week to ~1 h
Where teams start
- •ChatGPT Enterprise and Microsoft Copilot. Governed answers over MCP.
- •Claude and coding agents. Safe data changes from where engineers work.
- •Internal agents. Context and permissions from one layer.
- •Copilot for executives. Answers that match the board deck.
- •AI governance. A record of every AI action.
The climb: from assisted to autonomous to agentic
Every transformation runs on the same ladder from our thesis: agents first inventory and propose with receipts, then move work in approved waves, and the finished platform keeps running itself once the move is done.
The pilot
- •Scope. Governed context for one copilot on one domain.
- •First week. Agents run at L1, observing only, and show the fixes they would have made, with receipts.
- •By week two. The routine work above runs on its own; anything sensitive stays with a named approver.
- •At day 30. We review the impact metrics against your baseline:
- •Conflicting definition reconciled: from about a month to 8 h
- •Copilot answer with provenance: from about a day to seconds
- •Agent change approved: from about a week to ~1 h
- •Cost. Start with a pilot ($7,500 one-time, credited in full against the first year). Scale is from $1,000 a month and Enterprise from $3,000 a month, billed annually, with unlimited seats, no usage meter and no markup on model spend. See pricing.
FAQ
Which AI tools work? Any tool that speaks MCP.
Can AI change data? Only through the gate, at the level you set.
Is there an audit trail? Every action is receipted.