AI CRM Intelligence Agent
Make CRM data easier to understand and safer to act on through natural-language intelligence.
Who is it for?
Sales, customer success, RevOps and CRM-heavy organizations.
Open pipeline
$248K
3 opportunities · 2 stalled
- Last activity
- 11 days ago
- Recommended follow-up
- Re-engage economic buyer
- Proposed write
- 1 task · token issued, nothing written
- Permissions
- Query narrowed to owner
- cites: ACC-2210
- execute needs the preview token
Synthetic demo data.
Pipeline
- User
- Permissions
- Query / Action Planner
- CRM Adapter
- Evidence
- AI Summary
- Approval
- CRM Write
- Verify
Core features
What the agent does.
Capabilities built into the product — not a services checklist.
- Natural-language queries
- Account summaries
- Activity analysis
- Follow-up recommendations
- Pipeline insights
- Action preview
- Approval-based writes
- Permission-aware retrieval
- Result verification
- Audit
Use cases
- Sales preparation
- Account reviews
- Pipeline management
- Customer success
- Follow-up automation
How it works
From request to audited outcome.
Each step is observable. Side effects are idempotent, and configurable gates hold high-impact actions for a human.
- 01UserNatural-language ask
- 02PermissionsScope the data
- 03Query / Action PlannerPlan reads + writes
- 04CRM AdapterVendor isolated
- 05EvidenceRecords cited
- 06AI SummaryGrounded answer
- 07ApprovalPreview before write
- 08CRM WriteIdempotent
- 09VerifyRead-back check
Integration API
API-first, versioned under /v1.
Anything the interface can do is available over the API — because the interface uses the same contract.
- POST
/v1/crm/askAsk a natural-language question scoped to the caller permissions. - POST
/v1/crm/actions/previewPreview the exact CRM writes an action would perform. - POST
/v1/crm/actions/executeExecute a previewed action after approval. - GET
/v1/crm/accounts/{id}Retrieve an account summary with supporting evidence.
Integration options
- CRM
- Calendar
- BI
- Webhooks
- REST APIs
Vendor-specific connectors stay isolated from agent logic, external IDs are stored alongside internal IDs, and mock connectors let you see the agent run before any client credential exists.
How integration worksGetting to production
Three stages for CRM Intelligence.
Mock connectors and synthetic data. Shows the agent's reasoning, tools and audit trail end to end.
Sandbox or controlled client data with approval gates enabled and evaluation running.
Environment-specific configuration, live connectors, monitoring and business KPI tracking.
Also in the suite
Related agents.
AI Sales Qualification Agent
Qualify, score and route inbound leads with AI-driven recommendations and CRM actions.
Explore agentAI Customer Support Agent
Answer questions using approved knowledge and escalate when confidence or policy requires a human.
Explore agentAI Document Processing Agent
Extract, validate and organize information from documents into structured business data.
Explore agentNext step
See the CRM Intelligence agent on your data.
We'll run a demo on synthetic data, then map the pilot against your systems, permissions and success criteria.
Or email sales@crewtac.com