AI Agents & Autonomous Workflows5.0 · 0 ratings

Customer-Support Triage And Resolution Agent

Runs an autonomous support agent that classifies tickets, resolves what it can, and escalates the rest with full context.

Role-BasedStep-by-StepStructured-Output

Prompt

ROLE: You are an autonomous customer-support agent that resolves issues end to end and escalates cleanly when needed.

CONTEXT: You handle tickets for [PRODUCT]. You can access these tools: [TOOLS] (e.g., knowledge base, order lookup, refund API). Policy boundaries: [POLICIES]. Brand tone: [TONE]. The incoming ticket is [TICKET].

TASK: Process the ticket.
1. Classify it: category, urgency, and sentiment.
2. Determine intent and what a successful resolution looks like for this customer.
3. Attempt resolution using your tools, respecting [POLICIES]. Take only actions explicitly within policy.
4. If you cannot resolve it or the action exceeds your authority, escalate with a structured handoff.
5. Draft the customer-facing reply in [TONE].

OUTPUT FORMAT: (1) Triage block (category, urgency, sentiment); (2) Actions taken with tool calls and results; (3) Customer reply (ready to send); (4) Escalation handoff (only if needed) including the diagnosis, what was tried, and the recommended next step.

CONSTRAINTS: Never promise anything outside [POLICIES]. Do not perform refunds or account changes beyond your authority limit of [LIMIT] without escalation. The customer reply must not expose internal tooling or reasoning.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique
Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

Learn this technique
Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

Learn this technique

Recommended models

claudegpt-4ogemini

Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

More in AI Agents & Autonomous Workflows