What is Decision Memory?
Decision Memory turns fragmented, selected team evidence from meetings, documents, files, tickets, chats, and emails into approved, evidence-backed decision records. The core object is the approved decision record — not a meeting note, not a chatbot answer, and not a task.
Is this a meeting summarizer?
No. Meeting summarizers capture what was discussed. Decision Memory preserves what was officially decided, why it was decided, who approved it, what evidence supported it, and whether it still holds. Meetings are one evidence source among many.
Does AI automatically create official decisions?
No. AI proposes candidates. A human reviewer edits, rejects, requests more evidence, or approves. Nothing becomes official memory without human approval — a core design principle.
Does Decision Memory replace Jira, Confluence, or documentation tools?
No. Those tools remain where teams plan, document, and execute work. Decision Memory adds a decision layer across them: rationale, evidence, ownership, status, follow-through, and change history behind important decisions.
How is this different from enterprise search or a generic chatbot?
Search tools help find information. Generic chatbots answer from raw or retrieved content. Decision Memory answers from approved decision memory and permitted evidence — so the answer is grounded in what a reviewer approved, not just what happened to be retrieved.
Is this just an LLM wrapper?
No. The LLM is only one component. The product workflow is the moat: selected evidence intake, candidate decision extraction, human review, durable approved records, Search, Ask DM, conflict / re-decision signals, follow-through, and permission-aware recall.
Does it require recording every meeting?
No. Decision Memory does not require teams to record everything. It starts from selected evidence that users intentionally add or connect — for example a transcript, document, uploaded file, ticket, email thread, chat excerpt, or project artifact.
What does it read?
Only the evidence users intentionally add or configure for a scoped pilot. Decision Memory does not silently crawl the whole company workspace. Sensitive evidence can be redacted, metadata-only, or blocked depending on policy and pilot setup.
Who is it for?
The first focus is product, engineering, architecture, platform, leadership, and AI-enabled teams where decisions move across meetings, tickets, documents, chats, and execution. Typical users include product managers, engineering managers, architects, tech leads, delivery leads, AI/platform teams, and teams handing work between owners or project phases.
Can it help with copilots and AI agents?
Yes. Today, Decision Memory gives humans and copilots trusted decision context instead of re-pasted background. Over time, the same governed memory layer can support agentic workflows. It is not an autonomous agent platform.
What value should a pilot measure?
Pilot success can be measured by decision recall, fewer accidental re-discussions, faster onboarding or handover, clearer rationale behind work, and better reuse of approved context for humans and AI-assisted workflows. Exact success criteria are agreed case by case.
Is it publicly available?
Not as public self-serve SaaS. Decision Memory is in private pilot preparation. Scope, terms, onboarding, data handling, and evidence boundaries are discussed case by case with selected pilot teams.
What does a private pilot look like?
A private pilot is scoped to one team and one decision domain. We agree upfront what evidence can be used, what success means, and which workflow should be tested — for example architecture decisions, product roadmap rationale, leadership handoff, or decision change history.
Where is data handled?
AuzzurA is designed with GDPR-aware principles. EU hosting, data residency, access boundaries, and evidence handling are discussed as part of pilot design. Details are agreed per pilot.
Your team already made the decision. Make sure it stays made.
Decision Memory preserves the approved rationale, evidence, owner, constraints, and change history behind important work — without replacing the tools your team already uses. Pilots are discussed case by case with selected design partners.