Multi-agentOperations & Team ManagementAdvancedFree

Customer Support Operations System.

4 agents, 4 deliverables.

Run a multi-agent workflow to produce an execution-ready customer support operations system deliverable.

WORKFLOW META
Agents4
Total tokens (avg)~500
Run time12 min
AI toolChatGPT Β· Claude Β· Gemini
Variables4
DifficultyAdvanced
CategoryOperations & Team Management
SEQUENCE MAP Β· CLICK TO JUMP
Β· 01 Β·
Support Operations Architect
Β· 02 Β·
Knowledge Base Builder
Β· 03 Β·
Support Response Template Creator
Β· 04 Β·
Support Quality & CSAT System Builder
USE CASE INPUTS

Set the workflow's inputs once.

These variables feed into every agent prompt below. Fill them once, then copy each agent in order.

{{business_type}}
Business type
Business type
Customer Support Operations System example context
{{current_support_volume}}
Current support volume
Current support volume
Customer Support Operations System example context
{{support_channels}}
Support channels
Support channels
Customer Support Operations System example context
{{biggest_support_pain_point}}
Biggest support pain point
Biggest support pain point
Customer Support Operations System example context
THE AGENTS

The 4-step sequence.

01
AGENT Β· SUPPORT OPERATIONS

Support Operations Architect

GOAL OF THIS STEP

Design the support operations framework. Define: SLA targets (first response time and resolution time by severity), ticket triage system (how tickets are categorized and routed β€” L1/L2/L3), the escalation matrix (what issues go to whom), staffing model (how many agents per ticket volume), and the support channel prioritization (which channel to staff first given your customer profile and volume).

EXPECTED OUTPUT

SLA targets + triage system + escalation matrix + staffing model + channel priority recommendation

agent-01-support-operations-architect.md
### Input
Business type, volume, channels, pain point

### Task
Design the support operations framework. Define: SLA targets (first response time and resolution time by severity), ticket triage system (how tickets are categorized and routed β€” L1/L2/L3), the escalation matrix (what issues go to whom), staffing model (how many agents per ticket volume), and the support channel prioritization (which channel to staff first given your customer profile and volume).

### Output
SLA targets + triage system + escalation matrix + staffing model + channel priority recommendation
02
AGENT Β· KNOWLEDGE BASE

Knowledge Base Builder

03
AGENT Β· SUPPORT RESPONSE

Support Response Template Creator

04
AGENT Β· SUPPORT QUALITY

Support Quality & CSAT System Builder

HOW TO RUN

Three steps. 12 min.

STEP 01

Fill in the variables at the top. Copy them into a note or your tool's context window β€” every agent below uses them.

STEP 02

In your AI tool, paste Agent 1 and run it. Copy the output. Paste Agent 2 with the output appended. Repeat in order for all 4 agents.

STEP 03

At the final agent, review and refine. It outputs your finished deliverable, ready to publish or hand off.

WHAT YOU GET

The final output, end-to-end.

Support Operations Architect

SLA targets + triage system + escalation matrix + staffing model + channel priority recommendation

Knowledge Base Builder

KB structure + article template + top 15 article titles + maintenance process

Support Response Template Creator

20 support templates: scenario + trigger + full response body with variables for each

Support Quality & CSAT System Builder

3-question CSAT survey + 10-criteria QA scorecard + weekly review ritual + 6-KPI dashboard with benchmarks

β˜… MULTI-AGENT PACK

The Multi-Agent Operator Pack.

100 production-ready workflows like this one. Agent prompts, variable cheat-sheets, and the operator's guide.

Free