Operational Memory Layer
A memory-first incident response workbench for SAP AMS and support-heavy teams. It helps responders reuse prior operational learning instead of restarting investigations from zero.
Memory-grounded triage
New incident text is matched against prior incidents, reusable memories, related changes, and responder checks before the team starts rediscovering the same failure pattern again.
Explainable graph retrieval
The system expands through graph links instead of returning a black-box answer. Responders can inspect why a memory matched, which artifacts were connected, and what trust factors lowered confidence.
Governance for operations
Curators and reviewers can promote trusted memory, close service coverage gaps, and keep imported knowledge from drifting into stale tribal notes.
How it works
Responder pastes a fresh incident description into the incident workspace.
MemoGraphOps retrieves relevant incidents, operational memories, checks, notes, and deploy context.
The graph expands into related artifacts, change signals, and suggested next checks.
The responder records whether the memory was useful so the system improves through review and curation.
Fragmented memory
Built for SAP AMS and adjacent operational teams that repeatedly investigate the same classes of incidents while knowledge stays split across tickets, chats, and dashboards.
Responder
Needs one place to ask: have we seen this before, what changed, and what should I check next?
Curator
Maintains reusable memories, patches weak nodes, and fills graph coverage gaps across services.
Reviewer
Promotes draft knowledge into trusted operational memory and watches for stale or contradictory guidance.
Admin
Controls integrations, ownership, notifications, and pilot governance for real operational teams.
Not a generic AI tool
- Not a generic AI chatbot. It is an operational memory layer built around incident reuse.
- Not a vector-search wrapper. Retrieval stays inspectable through graph links, trust factors, and human review.
- Not a replacement for Jira, PagerDuty, Sentry, GitHub, or SAP tooling. It sits above them as a triage and memory surface.
Pilot outcome
The immediate goal is not maximum scope. It is one coherent incident workspace, explainable graph retrieval, reviewable memory quality, and enough product clarity that a new team can understand the system fast.