Policy · POL-04
current Key rotation in production
- owner
- Security
- interval
- 90 days
- last review
- 2026-04-02
The wisdom layer for the AI era
WiseWare turns company knowledge into wisdom you can trust.
AI agents fail when the knowledge around them is stale, contradictory, or impossible to execute consistently. WiseWare turns policies, decisions, and exceptions into governed memory: source-backed records and executable rules that form a deterministic procedural substrate.
- Source-backed
- Every record links to the artifact that created it.
- Reviewable
- AI proposes changes. Humans approve canonical memory.
- Rule-checked
- Health checks flag stale evidence, conflicts, and missing owners.
The problem Agents read policies as prose.
Agents read policies as prose.
The work depends on procedures.
A document can say what should happen. It cannot reliably decide which version applies, which exception still holds, or what evidence must be present before an action is allowed. Without deterministic procedures, every agent run becomes a fresh interpretation of stale material.
- Policy Policy · 3 versions
Nobody knows which rule should run.
A procedure needs one current version, an owner, and a review state before an agent can apply it.
- Exception Risk accept · expired
The exception survived past its expiry.
Exceptions need scope, dates, and renewal rules, or stale permissions keep being treated as valid.
- Evidence Ticket · Drive · Slack
The action passed without the required proof.
Approvals and controls should check required artifacts before the work is marked complete.
- Case Case system · policy · approval
The same facts produce different outcomes.
When facts, rules, and approvals drift apart, each agent run reinterprets the case from scratch.
The missing layer is operational memory: rules that stay current, cite their evidence, and run the same way every time.
What WiseWare does
WiseWare is the workspace where people and agents work from the same operational context.
Underneath the workspace is a governed knowledge layer: records, rules, evidence, ownership, and review state. It gives agents the context they need to act, and gives people a way to inspect, approve, and correct what the agent is using.
- Obligation policy, law, or contract requirement
- Fact case, customer, control, or domain context
- Decision what was decided, by whom, and why
- Evidence source material supporting the record
- Rule status checks that pass, fail, or need review
- State current, stale, superseded, or disputed
- Permission who can see, use, or change it
Without memory You still have to read, interpret, and trust the result.
Search returns a document.
…quarterly access review…
With WiseWare The answer has evidence, ownership, due dates, and rule status attached.
Memory returns context.
Control · CTL-12
current Quarterly access review
- owner
- Security
- cadence
- Quarterly
- evidence
- Q2 2026 · signed by CTO
- check
- passes evidence rule
- next due
- 2026-07-15
How it works
AI proposes. People approve. Knowledge keeps itself honest.
WiseWare never lets AI silently rewrite your company's memory. It proposes changes from real sources, keeps a human in the loop, and turns approved decisions into knowledge you can stand behind.
- 01 Source
Bring in the artifact.
A transcript, ticket, policy, contract, note, or evidence file enters WiseWare without replacing the system where work happened.
- 02 Proposal
Draft the memory change.
WiseWare extracts the durable parts: decisions, obligations, evidence, owners, state, and citations.
- 03 Review
Approve with context.
A reviewer approves, edits, or rejects the change with the source beside it before anything becomes canonical memory.
- 04 Memory
Answer with proof.
Approved records become versioned memory that can be checked, linked, exported, and cited by people or AI.
Agent memory
Agent memory is the context layer between documents and action.
It stores the records an agent can actually use: rules, decisions, evidence, owners, permissions, state, and history. When the agent asks, memory returns the right context with the procedure and proof attached.
- 01 Evidence coverage every claim has a source.
- 02 Rule status pass, fail, or needs review.
- 03 Policy version which rule applies, when.
- 04 Conflicts records that disagree.
- 05 Review deadlines what is overdue.
- 06 Ownership who is responsible.
- 07 Permissions who may see or change it.
- 08 Supersession what replaced what.
- 09 Version history every approved change.
Where it applies
- ISMS / ISO 27001
- AI Act compliance
- Policy application
- Vendor risk
- Customer commitments
- Product decisions
Use cases
Start where decisions already need to be trusted.
Compliance is the clearest entry point. Evidence has to survive, decisions have to be traceable, and answers have to be defensible. The same foundation works for customer promises, product decisions, and operations.
See domain examples Why now
AI is forcing every company to ask what it really knows.
Every useful AI workflow needs knowledge it can actually trust. That matters most when decisions carry legal, financial, or safety weight. And the foundation has to outlast whichever model you run today.
Positioning
Wisdom for the decisions you have to stand behind.
- Not a wiki. Operational memory is checked, cited, and kept current.
- Not enterprise search. WiseWare returns rule status and evidence, not hits.
- Not a workflow system. Your CRM, LMS, GRC, case, and ticket tools keep running.
- Not autonomous judgment. Humans approve canonical writes and high-stakes decisions.