Multi-agentFinance & Investment AnalysisAdvancedFree

Accounts Receivable & Collections System.

3 agents, 3 deliverables.

Run a multi-agent workflow to produce an execution-ready accounts receivable & collections system deliverable.

WORKFLOW META

Agents3

Total tokens (avg)~500

Run time9 min

AI toolChatGPT · Claude · Gemini

Variables4

DifficultyAdvanced

CategoryFinance & Investment Analysis

SEQUENCE MAP · CLICK TO JUMP

· 01 ·

Receivables Health Analyzer

· 02 ·

Collections Process Designer

· 03 ·

Invoice & Payment System Optimizer

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

Accounts Receivable & Collections System example context

Average invoice value

Accounts Receivable & Collections System example context

Current average days to collect

Accounts Receivable & Collections System example context

Current overdue receivables

Accounts Receivable & Collections System example context

THE AGENTS

The 3-step sequence.

AGENT · RECEIVABLES HEALTH

Receivables Health Analyzer

GOAL OF THIS STEP

Assess the receivables health. Calculate: DSO (Days Sales Outstanding) vs. industry benchmark, the true cost of slow collection (cash tied up × opportunity cost), the aging analysis categories (current / 0–30 days / 31–60 / 61–90 / 90+ days), the bad debt probability by aging bucket, and the total working capital impact. Identify: which customer segment is slowest to pay and why.

EXPECTED OUTPUT

DSO vs. benchmark + cost of slow collection + aging analysis + bad debt probability + slowest-paying segment

agent-01-receivables-health-analyzer.md

### Input
Business type, invoice value, DSO, overdue amount

### Task
Assess the receivables health. Calculate: DSO (Days Sales Outstanding) vs. industry benchmark, the true cost of slow collection (cash tied up × opportunity cost), the aging analysis categories (current / 0–30 days / 31–60 / 61–90 / 90+ days), the bad debt probability by aging bucket, and the total working capital impact. Identify: which customer segment is slowest to pay and why.

### Output
DSO vs. benchmark + cost of slow collection + aging analysis + bad debt probability + slowest-paying segment

AGENT · COLLECTIONS PROCESS

Collections Process Designer

AGENT · INVOICE &

Invoice & Payment System Optimizer

HOW TO RUN

Three steps. 9 min.

STEP 01

Fill in the variables at the top. Copy them into a note or your tool's context window — 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 3 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.

Receivables Health Analyzer

DSO vs. benchmark + cost of slow collection + aging analysis + bad debt probability + slowest-paying segment

Collections Process Designer

7-step escalation ladder with full communication template + sender + payment link for each step

Invoice & Payment System Optimizer

Invoice format requirements + payment terms strategy + payment method setup guide + 10-item invoice quality checklist

★ 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

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Accounts Receivable & Collections System.

Set the workflow's inputs once.

The 3-step sequence.

Receivables Health Analyzer

Collections Process Designer

Invoice & Payment System Optimizer

Three steps. 9 min.

The final output, end-to-end.

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