Knowledge
Enterprise knowledge assistants
Let employees ask questions of the organisation's own knowledge - policies, procedures, documentation - and get cited, access-aware answers in seconds.
The problem
What this fixes.
Built for Operations, HR and IT leaders whose teams lose hours to finding information scattered across systems.
Institutional knowledge is scattered across wikis, drives, ticket systems and people's heads.
Search returns documents, not answers, and never accounts for who is allowed to see what.
New joiners take months to become productive because the knowledge is undiscoverable.
How we deliver it
From problem to production.
01
Connect
Approved knowledge sources are connected, with each document's permissions preserved as first-class metadata.
02
Secure
Access is enforced at retrieval, so the assistant only ever reasons over what the user may see.
03
Answer
Questions are answered in plain language with citations, and the assistant abstains when sources are thin.
04
Improve
Unanswered questions reveal where the knowledge base is genuinely missing, guiding content work.
Outcomes
What good looks like.
0%
Time saved finding information
0%
Faster productivity for new joiners
0%
Answers respecting access entitlements
Indicative ranges drawn from comparable engagements, measured against a pre-AI baseline. Your figures are set and tracked from your own data during delivery.
What you get
Shipped, owned, documented.
Every engagement hands over working software in your repositories, with the evidence to run and audit it.
Connectors to approved knowledge sources
Retrieval-time access control honouring document permissions
Cited, plain-language question answering
Abstention and routing for unsupported questions
Knowledge-gap analytics
Questions
What buyers ask first.
No, because access control sits at retrieval, not after the answer. The model never reasons over a document the user is not entitled to see, which closes the leakage path that post-generation filtering misses.
The assistant says so and routes, rather than inventing a plausible answer. Those gaps are logged and reported so the knowledge team can fix what is actually missing.
Capabilities behind it