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The foundation for AI productivity

WiseWare is your company's memory.

AI only becomes productive inside a company when it can draw on current, source-backed context. Without it, every new tool is just another interface on top of confusion. WiseWare gives your people and AI the memory they can actually act on — from the tools your teams already use, kept current as the work changes.

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  • source-backed
  • traceable
  • permission-aware
  • human-reviewed
The problem

Your company already has the information.
It just can't recall what it knows.

Decisions, customer context, policies, project rationale, evidence, commitments, and exceptions already exist — across calls, chats, docs, tickets, CRMs, specs, and wikis. The problem is recall, trust, currency, provenance, and permissioning.

  • Decision Slack · 6 weeks ago

    A decision exists, but the rationale is buried in chat.

  • Commitment 3 systems · 11 mentions

    Customer commitments exist across calls, CRM notes, tickets, and Slack.

  • Policy Last edit · 14 months ago

    A policy exists, but nobody trusts that it is current.

  • Project Google Docs · Q3 2023

    Project history exists, but only in old docs and people's heads.

This is not a content problem. It is a memory problem.

Why now

Broken company memory is impossible to ignore.

Every useful AI workflow needs company context that is current, relevant, permission-aware, and traceable. If that context is fragmented, stale, or untrusted, every new interface just becomes another layer on top of confusion.

What WiseWare does

Work artifacts become durable memory objects.

WiseWare reads the chat, the ticket, the call transcript, the spec, and turns what matters into structured memory: decisions, claims, entities, relationships, state, evidence, and permissions. Every object keeps the link back to where it came from.

  • Decision what the company chose and why
  • Claim what is asserted, with evidence
  • Entity customers, systems, vendors, people
  • Relationship how objects connect and depend
  • State current, stale, superseded, reaffirmed
  • Evidence links back to source artifacts
  • Permission who can see, use, or change it
Retrieval returns
…quarterly access review…
a document you still have to read and trust.
Memory returns
Control · CTL-12
current

Quarterly access review

owner
Security
cadence
Quarterly
evidence
Q2 2026 · signed by CTO
next due
2026-07-15
Evidence AC-128 Q2-Access-Review.pdf Slack #sec · Apr 3
the current understanding, with evidence.
How it works

A loop between source, proposal, review, and memory.

AI proposes memory changes. Humans approve canonical writes. Every approved change becomes part of a human-readable, auditable history — so you can see what changed, when, why, and who approved it.

  1. 01
    Source input
    chat, doc, ticket, call
  2. 02
    Proposed change
    AI drafts memory diff
  3. 03
    Human review
    approve, edit, reject
  4. 04
    Canonical memory
    human-readable, versioned
  5. 05
    Indexes & answers
    cited, permission-aware

Corrections and new sources re-enter as proposed changes. The loop is the product.

Canonical memory is human-readable and fully auditable.

Every approved change is a versioned, signed update. You can read, compare, revert, and export your memory at any time — nothing is locked inside WiseWare. AI never writes directly into canonical memory without human review.

For the technical reader: the canonical layer is plain markdown files in a standard git repository. No proprietary store to migrate out of; your memory is already in a format your team can work with.

  • Source A transcript, chat, ticket, doc, or note is accepted as input.
  • Proposal WiseWare drafts a change against existing memory objects.
  • Review A human approves, edits, or rejects — with the source side-by-side.
  • Canonical Approved changes land as a new version. Indexes, links, and health checks rebuild.
  • Answer Questions get cited answers from current memory — or a flagged caveat.
Control · CTL-12 · access review proposed · 5 additions, 1 removal · from AC-128 
@Quarterly access review · CTL-12
 owner:         Security
 cadence:       Quarterly
−last reviewed: 2026-01-15
+last reviewed: 2026-04-03
+reviewer:      CTO
+evidence:      Q2-Access-Review.pdf
 state:         current
 
 Sources
+— Jira AC-128 (signed off 2026-04-03)
+— Slack #security · thread 2026-04-03

A proposed change from a closed ticket. One reviewer click turns it into canonical memory.

Memory health

Anyone can ingest documents.
The hard problem is keeping memory trustworthy as the company changes.

Volume grows. Nuance compounds. Permissions change. People leave. Memory health is the set of signals that keep company memory useful over time — not a dashboard bolted on, but the way the whole system is designed.

01

Decay

Memory that has not been touched or cited is flagged before it's stale.

02

Supersession

When one decision replaces another, the old one carries the pointer forward.

03

Conflicts

Contradictions between objects surface as disputes, not silent drift.

04

Source authority

Who said it matters. Memory weighs canonical sources over passing mentions.

05

Evidence coverage

Claims without evidence are visible as gaps, not quietly assumed.

06

Ownership

Every object has an owner responsible for keeping it honest.

07

Permissions

Access rules travel with the memory, not just the source document.

08

Freshness

Review cadences are tracked; overdue memory is marked, not hidden.

09

Version history

Every approved change is signed, readable, and reversible — the spine of trustworthy memory.

Memory is not useful because it was written. It is useful because it is still true.

Proof through use

One memory layer, many domains.

The same substrate holds customer, product, engineering, operations, and security memory. Different objects. Same loop of source → proposal → review → canonical memory.

  • Customer memory commitments, account history, renewal risk, support patterns, product feedback
  • Product memory decisions, roadmap rationale, specs, customer evidence, tradeoffs
  • Engineering memory architecture decisions, incidents, dependencies, migrations, runbooks
  • Operations memory policies, approvals, ownership, process changes, exceptions
  • Security & compliance policies, risks, controls, evidence, findings, corrective actions, audit history
Domain pack · ISMS

Security and compliance as living memory.

An ISMS is a demanding memory domain — policies, risks, controls, evidence, exceptions, findings, corrective actions, and audit history. It rewards traceability, freshness, and temporal history. If memory can stay useful here, it can stay useful anywhere.

This is not a full GRC suite. It is proof that WiseWare can maintain one high-stakes memory domain as living, reviewable, source-backed company memory.

  • Policy what the company decided
  • Risk what could go wrong
  • Control what mitigates the risk
  • Evidence proof the control ran
  • Exception what was deliberately set aside
  • Finding what review surfaced
Ask

What evidence supports quarterly access review this quarter?

Q2 access review was signed off by the CTO on 2026-04-03. Evidence is Q2-Access-Review.pdf, originating from Jira AC-128.

Cites CTL-12 Control · Quarterly access review EV-219 Q2-Access-Review.pdf AC-128 Jira · access review ticket
Exception · EXC-08
stale

Legacy SSH access for vendor Acme

expires
2026-04-30
owner
Platform
Policy · POL-11
superseded

Onboarding security baseline

replaced by
POL-17 (2026-03-02)
Ask

Which exceptions expire this month?

One exception expires in April 2026: EXC-08 (Legacy SSH access for vendor Acme, Platform-owned). Renewal or closure is required by 2026-04-30.

EXC-08's last review is 41 days old. Consider re-confirming before renewal.

Cites EXC-08 Legacy SSH access · Acme
What it is not

Company memory that stays in shape.

  • Not a wiki. Nothing to keep manually up to date.
  • Not enterprise search. Memory returns understanding, not hits.
  • Not a chatbot over stale files. Every answer cites current evidence.
  • Not an autonomous AI employee. Humans approve canonical writes.

Build memory your people and AI can trust.

Tell us what your company needs to remember. We'll show you the same source → proposal → review → canonical memory loop, applied to your domain.

Talk to us See the flow again
hello@wiseware.nl · www.wiseware.nl