AI data foundations

Prepare your business data for useful, trusted AI

Improve information ownership, quality, access, metadata and retrieval so assistants and agents can use trusted business context.

Data qualityAccessKnowledge readiness

Make trusted context findable

AI systems work better when people know which source is authoritative, who can use it, when it was reviewed and what each field means. Start with the information required for one workflow rather than indexing everything.

Foundation work

Source and owner inventory

Record system, data steward, purpose, audience and update cadence.

Quality and definitions

Clarify IDs, business terms, units, duplicate rules and known gaps.

Permissioned retrieval

Preserve source access boundaries and return citations or document references.

MCP and agent readiness

Expose only useful, current, bounded context through a governed interface.

A manageable first milestone

Choose one team and one recurring question. Identify its approved sources, review five representative cases, fix the largest terminology or permission gaps, then test whether staff can retrieve an answer with the source and owner visible.

Local intelligence. Ready to build.

Start with the work you want to improve.

Talk through the workflow, desired result and people who need to own it.