Requivo turns scattered documents, internal systems, and expert know-how into a governed operational knowledge layer your teams and AI tools can safely query, reuse, and trust.
One everyday scenario — starting a new customer project — from fragmented sources to trusted, governed knowledge.
Requivo reads across every source at once and flags where they disagree — and where a step was never written down at all. The problems you couldn't see become visible before they affect execution.
Three sources give three different answers.
No approved source explains what must be transferred before the project starts.
Requivo knows who actually owns each answer, and sends them one focused question. They confirm from their phone — no meeting, nothing to write up. Open questions get resolved, not buried in a backlog.
Owns the customer onboarding process and has resolved similar approval questions before — so the question goes to her, not the whole team.
Once an answer is confirmed, Requivo writes and maintains it as a structured, fully cited article — the know-how that lived in one person's head, now a living document the whole team can read, follow and trust.
Knowledge Manager is your team's direct interface to the governed layer. Search, browse and read the verified answer — with its sources, validation and approvers attached.
Connect the AI tools your team already uses to your governed knowledge layer through MCP. They stop answering from raw documents and start answering from what your organisation has verified — source, validation state, and approval history on every response.
Confirm contract and scope, complete internal kickoff approval, assign the delivery owner, transfer customer context from sales to delivery, and create the project workspace. This answer is based on the approved customer project start procedure.
Requivo works where your critical knowledge already lives — across documents, systems, workflows, and people.
It structures fragmented evidence, detects gaps and conflicts, and routes unresolved areas to the right expert for confirmation.
The result is not a one-off answer. It is a reusable knowledge layer your teams can use for answers, procedures, onboarding, handovers, and controlled AI access.
Connect what's scattered and turn it into maintained, validated operational knowledge.
Weak, missing, or conflicting knowledge is surfaced and routed to the named expert who should confirm it.
The same governed layer powers verified answers, living procedures, expert review tasks, onboarding, handover, and controlled AI access.
Every answer remains linked to source material and evidence lineage, so teams can see where knowledge came from and why it is eligible for reuse.
Knowledge can be draft, verified, under review, or retired — instead of being treated as equally reliable by default.
Open questions are routed to accountable experts, turning missing, conflicting, or weakly validated knowledge into reviewable decisions.
Decisions, confirmations, updates, and reuse signals remain traceable over time.
Maintenance procedures, incident learnings, handovers, shift-critical decisions, and operational know-how.
Engineering knowledge, configuration decisions, project memory, exception logic, and expert reasoning.
Validated procedures, audit evidence, approved guidance, controlled AI access, and traceable decision history.