AI Customer Support Agent

Deliver grounded support answers, classify requests and escalate complex issues.

Who is it for?

SaaS, customer support and internal help-desk teams.

Pipeline

  1. Chat / Email
  2. Intent Router
  3. Knowledge Retrieval
  4. Answer Generator
  5. Guardrails
  6. Respond / Escalate
  7. Ticket
  8. Audit

Core features

What the agent does.

Capabilities built into the product — not a services checklist.

  • Knowledge ingestion
  • Semantic retrieval
  • Grounded answers with source references
  • Intent classification
  • Conversation context
  • Ticket creation/update
  • Escalation
  • Confidence thresholds
  • Feedback
  • Audit trail

Use cases

  • Customer support
  • Product documentation
  • Internal help desk
  • SaaS onboarding
  • Knowledge assistance
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. 01Chat / EmailInbound message
  2. 02Intent RouterClassify request
  3. 03Knowledge RetrievalApproved sources
  4. 04Answer GeneratorGrounded draft
  5. 05GuardrailsConfidence check
  6. 06Respond / EscalatePolicy-driven
  7. 07TicketCreate or 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/support/messagesSend a customer message and receive a grounded answer or escalation.
  • POST/v1/knowledge/documentsIngest or update a document in the tenant knowledge base.
  • POST/v1/ticketsCreate or update a ticket in the connected ticketing system.
  • POST/v1/feedbackRecord thumbs-up/down and free-text feedback on an answer.
Read the API conventions

Integration options

  • Ticketing
  • CRM
  • Knowledge bases
  • Email
  • Webhooks

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 Customer Support.

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 Customer Support 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