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.
Answer confidence
0.93
above escalation threshold
- Intent
- Billing · invoice reissue
- Resolution
- Answered from knowledge
- Ticket
- Updated · TK-2291
- Escalation
- Not required
- billing-policy.md §4
- invoices-faq.md §2
Synthetic demo data.
Pipeline
- Chat / Email
- Intent Router
- Knowledge Retrieval
- Answer Generator
- Guardrails
- Respond / Escalate
- Ticket
- 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
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.
- 01Chat / EmailInbound message
- 02Intent RouterClassify request
- 03Knowledge RetrievalApproved sources
- 04Answer GeneratorGrounded draft
- 05GuardrailsConfidence check
- 06Respond / EscalatePolicy-driven
- 07TicketCreate or update
- 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.
Integration options
- Ticketing
- CRM
- Knowledge bases
- 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 worksGetting to production
Three stages for Customer Support.
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 Document Processing Agent
Extract, validate and organize information from documents into structured business data.
Explore agentAI Operations Workflow Agent
Interpret requests and execute approved multi-step workflows across business systems.
Explore agentNext 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