Your data, queryable by your agents too.
We built a record room where AI agents query the public record and get structured answers. The consulting practice architects the same treatment for your internal data — warehouse tables, SaaS exports, filings, spreadsheets — so your agents answer questions from your records and present them back the way you need to see them.
From exports to answers
Most internal data is presentable to a person only after someone exports it, cleans it, and builds a slide. We rework it into the shape agents need: normalized records with identifiers intact, served as MCP tools. Then the presentation layer is a question — your team asks, the agent assembles the answer from records it can cite.
- Survey & schema — we audit your sources and design record schemas with source identifiers, the same discipline we apply to permits and filings.
- MCP serving layer — your datasets become tools any agent can call, deployed in your Azure tenant or ours.
- Presentation through agents — briefings, exception reports, and desk answers generated from records, with every figure traceable to its row.
> Which regions missed margin plan last quarter, and why?
tool finance.margins
params { "quarter": "2026-Q2", "vs": "plan", "group_by": "region" }
← 3 records
{ "region": "Southwest", "margin": 18.2, "plan": 21.0, "driver": "freight" }
{ "region": "Midwest", "margin": 19.4, "plan": 20.5, "driver": "mix" }
{ "region": "Northeast", "margin": 22.1, "plan": 21.0, "driver": "—" }
plan internal MCP · your tenant · no per-query charge
How an engagement runs
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01
Survey
Two weeks in your sources — warehouse, SaaS exports, shared drives. We come back with an inventory and the ten questions your team asks most.
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02
Architect
Record schemas, identifier strategy, refresh cadence, and the MCP tool surface — reviewed with your data and security teams before a line ships.
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03
Pilot
One domain live end-to-end: data flowing, tools answering, agents presenting to a real desk. Measured against the questions from the survey.
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04
Handover
Your team runs it. Documentation, runbooks, and schema governance transfer with the system; we stay on retainer only if you want us to.
Your data stays yours
Runs in your tenant
The serving layer deploys to your Azure subscription by default. We hold credentials only for the engagement, and they expire with it.
Never trained on, never resold
Your records never enter our products or anyone else's models. The engagement runs under a signed DPA and the same acceptable-use discipline as our licenses.
Scoped in writing
Fixed-scope phases with named deliverables — survey report, architecture review, pilot, handover — priced per phase, not per hour burned.
Start with the survey
Write to consulting@agenticdatamining.ai with the systems your data lives in and the three questions your team keeps asking of it. We reply with a survey proposal — typically within two business days.