Every account, deal, signal, and meeting becomes usable AI context.
CRM.me Revenue Memory turns scattered CRM activity into a source-backed operating layer. Reps see what changed, managers see what needs action, and agents get tenant-scoped context without losing governance.
Source-backed customer memory
Unify recent customer context into a readable timeline with direct links back to the CRM records that caused each recommendation.
- Meetings, notes, activities, and signal alerts in one timeline
- Pipeline stage changes with source links
- Coverage metrics across account and deal data
Pipeline movement and stale-deal revival
Surface silent opportunities and recent stage movement so managers can spot risk and coach action without manual spreadsheet snapshots.
- Stale opportunities ranked by silence window
- CoPilot prompts for source-backed revival emails
- Recent stage-change context for pipeline meetings
Agent-readable CRM context
Expose Revenue Memory through authenticated API-key reads so AI agents and external adapters can reason over CRM context safely.
- Tenant-scoped API-key access
- Optional read scopes for agent and CRM access
- Request logging through the existing API infrastructure
A daily loop for source-backed revenue execution
Revenue Memory turns the existing CRM graph into an operator workflow for reps, managers, and external agents.
- 1.
Capture source records
Meetings, notes, activities, opportunity history, tasks, TAM data, and signals remain in their production systems of record.
- 2.
Synthesize current context
Revenue Memory ranks recent sources, coverage, stale opportunities, and stage changes into one inspectable workspace.
- 3.
Route action through CoPilot
Every revival prompt and next-best action links back to the opportunity or source record that justifies it.
- 4.
Expose governed agent reads
External tools can read memory context through tenant-scoped API keys while write actions stay inside approved CRM workflows.
AI CRM memory without replacing your production CRM model
Revenue Memory reads existing CRM.me records and creates an operator-ready synthesis layer. No schema migration is required for the core experience.
- Source-backed timeline for customer context
- Stale-deal revival and pipeline-change panels
- AI custom-property suggestions for richer account memory
- API-key authenticated read endpoint for agent integrations
Give your revenue team a memory layer agents can actually use.
Unify CRM context, revive stale deals, and expose governed account memory to AI workflows from one CRM.me surface.