Organizational memory for hardware and manufacturing teams
Shop floor SOPs, safety protocols, and tribal knowledge — retrievable from any handheld, measurable across shifts.
An AI operating stack for manufacturers surfaces SOPs, safety procedures, and change-of-shift handoffs through an AI agent accessible from tablets and handhelds — with CLO modeling which operators are about to forget which procedures, so refreshers happen before incidents.
The problem
- A veteran operator retires. Six months of tribal knowledge walks out with them.
- Safety training happens once a year. Nobody remembers the specifics two months later.
- The maintenance SOP for the new CNC machine lives in a binder that's 40 feet from the machine.
A company like yours
Ray runs two shifts at a CNC shop serving aerospace and medical device customers. Safety audits are quarterly. Training decays between them. When his most senior operator retired last year, it took three months to rebuild the knowledge of how to coax a specific pattern of chatter out of the Mori Seiki. Ray wrote it all down — in a binder. Nobody reads the binder.
Before vs after
- 6+ monthsTime to audit-ready after hiring
- <40%Training retention 3 months post-session
- HighAudit non-conformance risk
- ~6 weeksTime to audit-ready after hiring
- >80% (with CLO nudges)Training retention 3 months post-session
- Concept-level, per-operator, queryableAudit trail
The stack, in plain English
For manufacturers: Claude Code or a shop-floor tablet agent as the interface, memory-mcp or mem0 for SOP memory, SharePoint or Google Drive MCP pulling the actual procedure docs. CLO on top tracking which operators are about to fall below the safety-retention line.
What day one looks like
FAQ
Can this run offline on the shop floor?
Partially. Claude Code needs network connectivity. Several registry memory tools (memento-mcp, some self-hosted mem0 setups) can run on-prem. For air-gapped environments, talk to us — we have reference deployments.
How does this integrate with our existing LMS (Cornerstone, Workday Learning, etc.)?
The memory layer ingests from any MCP-speaking source. Most LMS platforms have MCP bridges or APIs you can adapt. CLO consumes engagement events, not LMS completions — so you measure retention, not compliance checkboxes.
What does the auditor see?
Per-operator, per-SOP retention history. Date of last engagement, last refresher, current predicted retention. This is far richer than 'completed training on date X.' Auditors we've demoed to love it.
Will operators actually use an AI agent on the floor?
The ones who touch a tablet during shift already do. The interface is voice or text; the answer is one sentence. The interaction is shorter than finding the binder.
What memory tool fits a manufacturer?
memory-mcp (official, stable) to start. mem0 if you want multi-operator scoping. letta if you want the agent itself to retain long-lived memory. See cognitionus.com/memory.