AI Operations Workflow Agent

Automate repeatable operations by combining AI interpretation, deterministic rules and approved tools.

Who is it for?

COOs, operations, shared services and SMB/mid-market teams.

Pipeline

  1. Request
  2. Intent
  3. Workflow Engine
  4. Policy
  5. Tools / APIs
  6. Verification
  7. Notification
  8. Audit

Core features

What the agent does.

Capabilities built into the product — not a services checklist.

  • Request classification
  • Workflow selection
  • Data collection
  • Rule validation
  • Permission checks
  • Multi-step execution
  • Human approval gates
  • Retries/state
  • Notifications
  • Audit

Use cases

  • Employee operations
  • Approvals
  • Customer operations
  • Cross-system workflows
  • Internal requests
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. 01RequestForm, chat or API
  2. 02IntentClassify + route
  3. 03Workflow EngineState machine
  4. 04PolicyRules + permissions
  5. 05Tools / APIsApproved actions
  6. 06VerificationConfirm effects
  7. 07NotificationRequester update
  8. 08AuditEvent log

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/tasksSubmit an operational request for workflow execution.
  • GET/v1/tasks/{id}Inspect workflow state, step history and pending approvals.
  • POST/v1/tasks/{id}/approveClear a human approval gate for a held step.
  • GET/v1/workflowsList the versioned workflow definitions this deployment runs.
  • GET/v1/toolsList every action the agent can take, with schema and scope.
  • POST/v1/webhooks/eventsReceive an external event that should start a workflow.
Read the API conventions

Integration options

  • CRM
  • Email
  • Calendar
  • Ticketing
  • Databases
  • 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 Operations Workflow.

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 Operations Workflow 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