Let anyone ask questions of governed data, and trust the answer
Chat-with-your-data pilots stall when answers disagree with reports. Data Workers gives every conversational tool governed definitions, lineage and access policy, so answers match the dashboards and arrive with their source.
Before and after
| Today | With Data Workers |
|---|---|
| Copilots that guess at tables | Answers from governed definitions |
| Answers that disagree with reports | Answers that match the certified dashboards |
| No record of where a number came from | Every answer with its lineage |
| Access rules bypassed by chat | The same access rules as every other tool |
How it works
1. Reconcile meaning
Data Context Wizard finds conflicting definitions and stewards settle them.
2. Serve governed context
Any chat tool reads definitions, lineage and policy over MCP: ChatGPT Enterprise, Microsoft Copilot, Claude or your own.
3. Verify and record
Answers are checked against certified metrics, and every question and answer is logged.
The impact metrics we move
- •Answer with provenance: from about a day to seconds
- •Definition conflict reconciled: from about a month to 8 h
- •New chat tool connected: from about a month to 4 h
Where teams start
- •ChatGPT Enterprise and Microsoft Copilot. Governed answers over MCP.
- •Slack and Teams questions. Answers in the tools people use.
- •Executive Q&A. Answers that match the board deck.
- •Self-serve for analysts. Fewer ad-hoc tickets.
- •Agentic follow-ups. Answers that can trigger governed actions.
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 chat tool 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:
- •Answer with provenance: from about a day to seconds
- •Definition conflict reconciled: from about a month to 8 h
- •New chat tool connected: from about a month to 4 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 chat tools work? Any tool that speaks MCP.
What if the answer disagrees with a dashboard? Both read the same governed definition, and differences are traced.
Are access rules respected? Yes; the same policies apply.