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.

Pipeline

  1. User
  2. Permissions
  3. Query / Action Planner
  4. CRM Adapter
  5. Evidence
  6. AI Summary
  7. Approval
  8. CRM Write
  9. 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
See all use cases

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.

  1. 01UserNatural-language ask
  2. 02PermissionsScope the data
  3. 03Query / Action PlannerPlan reads + writes
  4. 04CRM AdapterVendor isolated
  5. 05EvidenceRecords cited
  6. 06AI SummaryGrounded answer
  7. 07ApprovalPreview before write
  8. 08CRM WriteIdempotent
  9. 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.
Read the API conventions

Integration options

  • CRM
  • Email
  • 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 works

Getting to production

Three stages for CRM Intelligence.

Demo

Mock connectors and synthetic data. Shows the agent's reasoning, tools and audit trail end to end.

Pilot

Sandbox or controlled client data with approval gates enabled and evaluation running.

Production Integration

Environment-specific configuration, live connectors, monitoring and business KPI tracking.

Next 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