Customer Service AI Agents
Routine questions resolved. Complex cases escalated with context.
Resolve order, account and product inquiries using your real systems, and hand the hard cases to your team with everything they need.
Workflow
KPIs we measure
- Response time
- Case resolution rate
- Agent workload
The business problem
Service teams answer the same order-status and product questions all day.
Resolve routine inquiries, retrieve account and order information, and escalate exceptions to human teams.
Before and after
The same work, redesigned.
Current manual workflow
- 01Email lands in a shared queue
- 02Agent looks up order in ERP
- 03Checks tracking in another tool
- 04Types a reply
- 05Complex cases bounce between teams
AI-enabled workflow
- 01Inquiry arrives by email, chat or portal
- 02Customer and intent identified
- 03Order, account and shipping data retrieved
- 04Routine reply drafted or sent by rule
- 05Exceptions escalated with a summary
Agent capabilities
Intent classification
Sorts inquiries by type, urgency and customer.
Live system lookup
Order status, invoices, tracking and product data.
Draft or send
You decide which replies need review.
Warm handoff
Escalations arrive with history and a suggested next step.
System integration examples
- Zendesk, ServiceNow or Freshdesk
- ERP order data
- Carrier tracking APIs
- CRM account records
Human approval & security
- Approval modes per inquiry type
- Tone and policy guardrails
- Conversation logging
Potential business impact
- Response time
- Case resolution rate
- Agent workload
Relevant industries
Related solutions
FAQ
Is this a chatbot?+
It can power chat, but most value comes from working the email and ticket queues your team already handles.
Is customer service ai agents right for your team?
Tell us how the work runs today. We'll tell you honestly whether a custom AI agent makes sense.