Internal knowledge

Company knowledge, searchable — and still confidential.

Internal search fails twice: it can't find the document, or it shows one it shouldn't. AACSearch enforces document-level access in every query and answer, and connects people, projects and decisions across sources.

Queries plain keyword search gets wrong

политика отпусков 2026policyкто отвечает за проект Xpeople + projectдоговор с поставщиком Y условия оплатыrestricted documentпочему отказались от Zdecision history

Where search loses customers today

Permission leaks

One search result or AI answer from a document the employee can't open is a security incident.

Scattered sources

Wiki, drive, tickets and chats each have their own search.

Questions that span documents

“Who decided X and why?” needs facts from several documents. Keyword search returns them one by one, if at all.

How AACSearch solves it, layer by layer

Each card names the capability behind it. Items marked “in development” are designed and scheduled, not live yet.

Finds the right item from the first letters — typos, synonyms, filters, meaning.

Document-level ACL

Users and groups on every document; filtering happens before hits, counts and facets are computed.

Hybrid search

Exact names and codes plus meaning-based matching.

Connectors

Sitemaps, JSON and CSV exports, and push via API from internal systems.

Widens the basket: similar, frequently together, personal.

Related documents

Similar documents within what the user may see.

Answers questions a filter can't, citing your own catalogue and docs.

Permission-aware answers

The assistant retrieves only documents the user may read, and cites them.

Learns how items, queries and topics connect — and leads the visitor to the goal.

Knowledge graph

Will extract people, projects, systems and decisions and link them across documents.

Global questions

Will answer broad questions (“what are our main supplier risks?”) by summarising communities of related documents — still within the user's permissions.

One visitor, from first query to goal

What the visitor does on the left, what AACSearch does on the right.

  1. 1

    Search

    An employee searches for a supplier contract.

    Shows it only if their groups have access; totals don't reveal hidden documents.

    Document-level access
  2. 2

    Ask

    Asks about the payment terms.

    Answers from the contract with a citation.

    AI answers with citations
  3. 3

    Connect

    Asks why the previous supplier was replaced.

    Connects meeting notes, tickets and the contract into one cited answer.

    GraphRAG· in development

Your first two weeks

A typical rollout for this industry. Most teams are live on day one and spend the rest of the time measuring and tuning.

  1. Day 1

    Connect the first source with user and group ids on each document.

  2. Day 2

    Test as two employees with different access.

  3. Week 1

    Add further sources and the assistant.

  4. Week 2

    Run leak tests with your security team.

What to measure

The numbers to judge a rollout by. Compare them with an A/B split or a before/after window on the same traffic.

Time to find
Minutes from question to document.
Answer citation rate
Share of answers with at least one cited source.
ACL test coverage
Cross-user leak tests must pass on every release.

Connects to

  • REST API
  • JSON / CSV export
  • Sitemap crawl
  • SDK (TypeScript, Python)

Capabilities used

Coming next

Questions

Search for Internal knowledge, live this week

Connect a feed or a site, embed one script, and measure the difference on your own traffic.