WiseWare
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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 cases into governed memory: source-backed records and executable rules that form a deterministic procedural substrate.

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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.
The work depends on procedures.

A document can say what should happen. It cannot reliably decide which version applies, which policy still holds, or what evidence a case must have before a decision is allowed. Without deterministic procedures, every agent run becomes a fresh interpretation of stale material.

  • Policy Policy · 3 versions

    Nobody knows which policy version to apply.

    A case needs one current version, an owner, and a review state before anyone can apply it.

  • Policy Policy · superseded

    A case was decided on a policy that had since changed.

    Cases need to cite the version in force, or decisions quietly drift away from the approved rule.

  • Evidence Case · Drive · email

    A case was approved without the required evidence.

    Decisions should check that every criterion has its supporting evidence before the case is closed.

  • Case Case · policy · caseworker

    The same facts produce different outcomes.

    When facts, rules, and decisions drift apart, each caseworker reinterprets the policy 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.

  • Policy the pre-approved rule or law to apply
  • Case fact the situation a decision applies to
  • 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

Search returns a document.

…eligibility rule…
You still have to read, interpret, and trust the result.
With WiseWare

Memory returns context.

Policy · POL-04
current

Eligibility rule

owner
Policy owner
version
v3 · in force
applied
Case CASE-128 · cited
check
passes eligibility check
in force
2026-03-01
Evidence CASE-128 Policy doc Slack #policy · Apr 3
The answer has evidence, ownership, due dates, and rule status attached.
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.

  1. 01 Source

    Bring in the artifact.

    An intake form, policy, case note, decision, or evidence file enters WiseWare without replacing the system where work happened.

  2. 02 Proposal

    Draft the memory change.

    WiseWare extracts the durable parts: decisions, obligations, evidence, owners, state, and citations.

  3. 03 Review

    Approve with context.

    A reviewer approves, edits, or rejects the change with the source beside it before anything becomes canonical memory.

  4. 04 Memory

    Answer with proof.

    Approved records become versioned memory that can be checked, linked, exported, and cited by people or AI.

Go deeper into the full workflow
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.

  1. 01 Evidence coverage every claim has a source.
  2. 02 Rule status pass, fail, or needs review.
  3. 03 Policy version which rule applies, when.
  4. 04 Conflicts records that disagree.
  5. 05 Review deadlines what is overdue.
  6. 06 Ownership who is responsible.
  7. 07 Permissions who may see or change it.
  8. 08 Supersession what replaced what.
  9. 09 Version history every approved change.
Explore agent memory
Where it applies
  • Policy in practice
  • Casework & decisions
  • Professional support
  • Onboarding & enablement
  • Customer commitments
  • Product decisions
Use cases

Start where decisions already need to be trusted.

Applying policy to real cases 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 case-management system. Your intake, case, and CRM tools keep running — WiseWare is the approved policy they build on.
  • Not autonomous judgment. Humans approve canonical writes and high-stakes decisions.