A team of AI agents on your company's knowledge

Generates intelligence reports (market trends, competitor analysis, industry news) on a schedule, enriched with context from your bases.

Detects recurring questions in your conversations and drafts FAQ entries. Low-confidence answers go to review before publishing.

Turns your meeting recordings (already transcribed at import) into structured minutes — summary, decisions, actions — reviewed before publishing.

Composes a role-specific welcome guide from your shared bases — company, products, tools, contacts, first week.

Mines positive customer quotes from your call transcripts (Gong, Teams) and builds a ready-to-use testimonials library — each verbatim attributed and sourced, held for your approval.

Audits any blog post URL against a 21-point helpful-content checklist and files a clear, consistent scorecard with what to improve.

Builds a persona-specific event messaging brief — elevator pitch, value props, customer proof and partner context — grounded in your own positioning and case studies.

Turns an internal event brief into a polished, on-brand public event description (drafts three angles, keeps the strongest) while preserving the logistics.

Compose an agent as a graph of nodes — sources, reasoning, delegation, publishing — wired your way. No code, under your approval.

Audits a base's coverage, spots requested-but-missing or stale topics, and drafts content to review.

Analyzes the 👎 and comments left on chat answers and proposes improvement rules. Nothing applies without your approval.

Periodically analyzes a base and flags conflicting passages ("doc A says X, doc B says Y") for you to arbitrate.

Surfaces documents unchanged for a long time so you can confirm whether they're still accurate, need refreshing, or should be retired.

Mines recent conversations for undocumented knowledge — decisions and their rationale, procedures, facts — and proposes knowledge articles for review.

Watches your sources' health daily and flags anomalies — source in error, sync with no indexing, failed documents, unvectorized content. No LLM, no cost.

The meta-agent. Every month it reads the whole fleet's activity, computes your knowledge P&L (value created vs cost) and writes an executive report with its tuning recommendations. Exact numbers, never invented.

As soon as a new document enters a base, it's checked against the knowledge it most resembles. If it contradicts what's already there, the alert comes right away — not three weeks later. Knowledge that protects itself.

Re-audits the answers your AI already gave (web support, chat, Slack) against your knowledge base and flags every unsupported one — a made-up fact, an unsourced claim, an over-commitment. So you can trust your AI in front of customers.

Probes the base with your key business questions and grades, question by question, whether it can truly answer them — the "Answers" indicator, tracked over time. Not to be confused with Maturity, which measures progress through the documentation plan.

Watches regulatory developments (GDPR, AI Act, ISO…) and flags where your internal policies no longer align — the sovereign, regulated angle.

Answers questions asked in Slack from your knowledge bases (triggered by a mention).

An embeddable chat for your website that answers visitors from your public bases — sourced answers, quotas, human handoff.

Someone is leaving? The agent prepares an interview targeted at what they alone know, then distills their answers (notes or recording) into lasting knowledge. Your company no longer forgets anyone.

When the base can't answer, it finds the person most likely to know (owner of the relevant base, contributors, connectors) and suggests routing the question to them — with a ready-to-send note. It knows who knows.