Engram captures prompts, workflows, decisions, and task outcomes, routes them through human approval, and serves trusted memory back to employees and AI agents.
Your teams are learning faster with AI, but the best prompts, customer replies, policies, and decisions still disappear inside individual chats. Engram turns that work into approved company memory that people and agents can reuse safely.
A great customer reply. A finance policy PDF. An HR onboarding prompt. A decision after a hard call. Anyone — human or agent — can file work that should not be lost.
An employee can ask for the travel policy. A store manager can see scheduling rules. Neither can see executive compensation unless their grants allow it. The permission check happens before the model sees context.
A sales assistant can draft a better objection-handling script. HR can draft an onboarding FAQ. Finance can approve an expense-policy answer. AI helps file the memory, but a human decides what the company trusts.
A support agent can pull the approved refund workflow, draft a customer reply, and file the successful outcome as a draft lesson. The next employee or agent starts from that approved playbook.
AI can help create company memory because it can never promote itself into the trusted source of truth.
| Capability | Engram | Glean | ChatGPT / Claude memory | Notion / Confluence | DIY RAG |
|---|---|---|---|---|---|
| Captures reusable AI work, not just documents | mostly platform-led | personal only | if humans write it | you build it | |
| Governed write path — AI drafts, humans approve | platform-specific | ||||
| Permissions enforced in the retrieval query | mirrors ACLs | page-level | |||
| Headless layer for your own tools and agents | platform-first | a component | |||
| Agents as governed org members | agent platform | ||||
| Cited answers — every claim names its memory | links results | DIY |
Stop losing your best AI work in private chats. Turn it into trusted company memory.