Enterprise knowledge
Turn everything your company knows into knowledge AI can use.
Why did we change the launch date, what commitments moved with it, and who owns the remaining work? The answer lives in four systems. Percidian holds a persistent, permissioned understanding of the business and answers it once, with the sources — in the AI systems employees already use, without rebuilding context for every question or tool.
- Policies and standards
- Project archives
- Team spaces and wikis
- Recorded decisions
- Employee assistant
- Onboarding answer
- Proposal draft
- Policy check
The work today
One question, four systems, one cited answer.
Your company does not live in one system. A policy explains the rule, an agreement creates the exception, a meeting records the decision, a message assigns the owner. Search returns the places; the answer is the connection.
The answer’s path
Why did we change the Northstar launch date?
Illustrative prompt: “Why did we change the Northstar launch date?” Not text that sounds related — the labeled, evidence-backed path between the objects, each step from the system that holds it.
Person
Leads the Northstar project — from the directory.
Project
Fulfills a client commitment — from the project system.
Agreement
Governs that commitment — from the contract repository.
Decision
Moved the delivery date — from the meeting record.
Meeting
Assigned the next action and its owner — from the calendar and notes.
One cited brief: the decision, the commitments that moved, the revised timeline, the owners, the current status.
In practice
Institutional memory in daily work.
Find the answer
Understand the decision
Find the right expertise
Onboard with context
Carry work across tools
Preserve what matters
One memory, permissioned for every person
Share understanding without sharing everything.
Percidian honors source-native permissions and enterprise policy before context reaches AI. Restricted records, titles, metadata, and inferred facts stay out of view. Every material statement points to a source the user is entitled to open.
Because the understanding is persistent and reusable, approved AI systems request the relevant context instead of repeatedly processing the same files and histories. That reduces token use, eliminates duplicate work, and keeps answers consistent.
The same question can produce a different authorized answer for a different employee — how each request is authorized.
Bring your business into every AI decision
Give every approved AI system the context to do its best work.
Connect the knowledge your organization already has. Preserve what it learns. Apply the permissions it already trusts. Make that understanding available wherever people and agents work.