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AI

AI Knowledge & Document Intelligence

Institutional knowledge that answers, with the source attached

Contracts, specifications, SOPs, drawings and correspondence turned into a permission-aware knowledge layer that answers questions and cites its sources.

The starting condition

What this usually looks like before

  • The answer exists — in a PDF, in an old email, in one person's memory.
  • Contract obligations are discovered when they are breached.
  • New staff take months to become useful because nothing is retrievable.

Capabilities

What we build

Structured extraction

Key fields pulled from contracts, invoices, purchase orders, test reports and certificates into queryable records.

Cited answers

Every answer returns the source document, page and clause. No answer without provenance.

Permission-aware retrieval

Retrieval respects record-level access. A user can never be answered from a document they cannot open.

Obligation tracking

Dates, renewals, penalties and notice periods extracted and monitored as live commitments.

Operational SOPs

Procedures made answerable in context, at the point of work, on the device in hand.

Outcomes

What you should expect to change

  • Searchable institutional knowledge instead of tribal knowledge
  • Obligations tracked before they become disputes
  • Faster onboarding and fewer escalations to senior staff
  • Answers that can be checked

Where AI fits

This is an AI capability by design, but it is bounded: retrieval is permission-scoped, extraction is validated against schemas, and answers are always attributable to a source.

Typical integrations

  • Storage
  • Email
  • ERP
  • Document management
  • Scanners

Common in

AI Knowledge & Document Intelligence

Describe the version of this problem you have.

We will tell you what a system for it looks like, what it would take to build, and whether it is worth doing at all.