AI Service Resolution Agent
An autonomous customer-service system that understands the request, checks the account and policies, decides the resolution, drafts the reply, proposes the ticket and escalation path — every action approved by a human before it runs.
AI Workflow
0/7Understand the request
Check account & policies
Decide resolution
Propose reply & ticket
Human approval
Execute reply + ticket
Verify case state
Run a scenario
One-tap inputs that exercise different real-world outcomes — including the escalation path.
Run the workflow to see the AI work.
The agent reads the request, checks the account and policies, decides the resolution, drafts the reply and asks you to approve before anything is sent.
Activity Timeline
Run the service resolution workflow to see the full audit trail
System controls
Production readiness — the controls behind this system
- Business KPI
- Ticket resolution rate and time-to-first-reply across the support inbox, with CSAT tracked on closed cases.
- Data & retention
- Run against synthetic customer and order data. Production deployments retain conversation + decision logs for audit.
- Permissions & action boundaries
- Reads customer and policy context freely; every write — reply, ticket, escalation — requires human approval.
- Model & provider strategy
- OpenWeights Groq models with structured output; fallback + rate-limit handling if the provider is busy.
- Human approval
- Nothing is sent, ticketed or escalated without a human approving the proposed action.
- Monitoring & audit
- Full activity timeline records every AI decision, tool call and approval for review.
- Cost / workflow
- One model run per case with a bounded tool loop; workflow is cost-traceable per ticket.