Enterprise Central Memory: Meetings, Projects, and Decision Traceability¶
Case study → enterprise
Your organization already has memory. It’s just fragmented and unauditable.
Most enterprise “knowledge” lives in meetings, tickets, docs, spreadsheets, and emails. Central memory is about turning that sprawl into governed, versioned, traceable decision artifacts — not a nicer chat UI.
The question
Can AI help leadership and teams make better decisions from meeting notes and project artifacts while preserving provenance, preventing contradiction, and keeping accountability explicit?
Failure modes to avoid
Meeting amnesia
Decisions get made, then lost; later plans contradict earlier constraints.
“Consensus hallucinations”
Systems summarize without capturing who decided what, under which assumptions.
Version confusion
Projects reference outdated specs and silently drift across teams.
No governance
Confidentiality and permissions must be enforced, not “remembered”.
What changes with central memory + constraints
flowchart TB;
M["Meeting / artifact"] --> X["Extract claims + decisions"];
X --> V["Validate constraints + permissions"];
V -->|"Pass"| S["Store as graph memory"];
V -->|"Fail"| B["Block + request clarification"];
S --> Q["Query as causal paths"];
Q --> T["Traceable answer"];Diagram: decision trace as an organizational primitive
flowchart LR;
D["Decision"] --> O["Owner"];
D --> A["Assumptions"];
D --> E["Evidence (links)"];
D --> C["Constraints"];
D --> CH["Change log"];Outputs
Decision register
Versioned decisions tied to owners, assumptions, and artifacts.
Constraint-aware planning
Plans that respect policies, dependencies, and “must never happen” rules.
Faster onboarding
New team members can traverse “why we did this”, not just “what we did”.
Governed access
Permissions and confidentiality enforced at the memory layer.