A knowledge management agent:
the answer the document already has, found in seconds
The answer to most internal questions already exists in a document somebody wrote months ago, buried where nobody thinks to look. We build an agent that indexes your documents, wikis and past decisions. It answers a team's question with a citation to the source. A page it finds outdated gets flagged, instead of quietly served as fact.
Why the answer stays buried
A question that was already answered somewhere gets asked out loud in a team chat. Searching the wiki for the right phrasing takes longer than asking a colleague. That colleague may themselves be working from an outdated memory of a policy that changed two quarters ago. The knowledge exists. Finding it, and trusting that it is still current, is the part that fails.
The costliest failure is subtle. A policy changes, but the old document never gets deleted. Six months later, someone finds the old version first and follows it confidently. They only discover the mistake after acting on outdated information. That is worse than not finding an answer at all.
What it actually does
The agent indexes your documents, wikis and decision records. It answers a question directly in chat, with a short answer and a citation to the exact source, so the response is checkable instead of a confident guess. It flags when two documents seem to contradict each other, or when a cited page has not been touched in a long time and might be stale. A gaps report shows questions it could not answer well. That is often the most useful signal for what documentation is actually missing. Access control mirrors your existing document permissions, so the agent never surfaces something a team member should not see.
Indexing respects your document structure as it already exists: folders, permission groups, access levels. No reorganizing is needed before the agent can be useful. It re-indexes on a schedule, so a newly added or edited document becomes answerable within hours, not after a manual trigger. For a question that spans several documents, it synthesizes an answer across all of them, rather than returning just the single most relevant one. That is closer to how a knowledgeable colleague would actually answer. The gaps report is reviewed periodically with whoever owns documentation. It tends to surface more than missing documents. It also finds documents that exist and are findable, but are simply unclear, something a plain search tool would never reveal.
What people still decide
Deciding what is actually correct when documents disagree, and keeping the underlying documents themselves up to date, stay with your team. The agent finds and cites what exists. It does not resolve a genuine policy conflict, or rewrite outdated documentation on its own.
Writing new documentation to fill a genuine gap stays with the people who own that area of the business. So does resolving a real conflict between two documents that both claim to be current.
What keeps answers trustworthy
Every answer is logged with the source it cited, so accuracy can be audited over time. A flagged contradiction or stale document routes to whoever owns it, for review, rather than being silently resolved by the agent. Access always respects existing permissions. A kill switch disables answering in one message, if the index ever needs a rebuild.
An answer that cites a document the asker cannot see is never shown, not even as a hint that such a document exists. That matters for anything touching compensation, personnel or legal matters.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Agency runs it | from $2,400 | Built, launched and supervised on our side, with a support plan after launch | 2 to 4 weeks |
| Full control, handover-ready | from $3,400 | Same agent, deployed on your infrastructure with your keys, full documentation and a handover package | 2 to 4 weeks + 1 to 2 weeks |
Running cost is usually $20 to $150 a month in model usage depending on volume, with a budget cap set before launch.
Related
Close neighbors worth a look: document drafting agent, it helpdesk agent, compliance policy agent. Together they cover most of the internal information load on a growing team.
It pairs well with development on the services side, and with log retention compliance on the automation side. The full package breakdown is on the AI agents service page.
For real work in this area, see the analytics hub ai analyst two brands case study and the visa center ai support bots case study.
Ready to see what this agent would look like on your actual process? Get in touch and we will look at your current setup in the first call.
FAQ
How much does a knowledge management agent cost?
From $2,400 to index your current documents and answer team questions with citations, live in 2 to 4 weeks.
How long does setup take?
2 to 4 weeks. First we index your existing documents and wikis properly. Then real team questions run through it, while a human spot-checks answers, before it becomes the default first stop.
Which channels and tools does it connect to?
Notion, Confluence, Google Drive, a wiki or a plain folder of documents for the index, and Telegram or Slack for where the team actually asks questions.
What if it gives a wrong or outdated answer?
Every answer carries a citation to its source document, so it can be checked in seconds. A document flagged as possibly outdated gets surfaced for review, rather than silently served as current. Access always respects your existing document permissions, so it never answers from something a person should not see.
What about data and security?
It reads only the documents you grant access to, and respects your existing permission structure. Nothing indexed is exposed to anyone who could not already see the source document.