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.
Memory sources
Unified
Meetings, notes, activities, stage changes, signals, and tasks.
Agent access
API-ready
Tenant-scoped Revenue Memory reads for external agent workflows.
Deal revival
Built in
Stale opportunities route into grounded CoPilot prompts.
Unify recent customer context into a readable timeline with direct links back to the CRM records that caused each recommendation.
Surface silent opportunities and recent stage movement so managers can spot risk and coach action without manual spreadsheet snapshots.
Expose Revenue Memory through authenticated API-key reads so AI agents and external adapters can reason over CRM context safely.
Revenue Memory turns the existing CRM graph into an operator workflow for reps, managers, and external agents.
Meetings, notes, activities, opportunity history, tasks, TAM data, and signals remain in their production systems of record.
Revenue Memory ranks recent sources, coverage, stale opportunities, and stage changes into one inspectable workspace.
Every revival prompt and next-best action links back to the opportunity or source record that justifies it.
External tools can read memory context through tenant-scoped API keys while write actions stay inside approved CRM workflows.
Less context switching
Reps see the account story without opening every activity, meeting, and signal page.
Faster pipeline review
Managers inspect recent movement and silent deals from one workspace.
Governed agent access
Agent workflows get scoped reads instead of broad database access.
Better follow-up timing
Stale-deal prompts use real CRM context instead of generic check-ins.
Revenue Memory reads existing CRM.me records and creates an operator-ready synthesis layer. No schema migration is required for the core experience.
Unify CRM context, revive stale deals, and expose governed account memory to AI workflows from one CRM.me surface.
The visual model is simple: keep production CRM records as the source of truth, synthesize them into an inspectable memory layer, then expose only approved context to reps, managers, CoPilot, and API-key agents.
Inputs
Meetings
calls, notes, transcripts
CRM records
accounts, contacts, deals
Activity
tasks, email, notes
Signals
TAM alerts and intent
Memory layer
A tenant-scoped operating layer that cites the records behind every queue, score, stale-deal prompt, and agent-readable response.
Source timeline
Stale-deal queue
Pipeline movement
Agent read API
Outputs
CoPilot drafts source-backed follow-ups
Managers inspect stage movement before forecast calls
External agents read tenant-scoped context through API keys