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Multi-agentFinance & Investment AnalysisAdvancedFree

Financial Forecasting & Scenario Planning System.

4 agents, 4 deliverables.

Run a multi-agent workflow to produce an execution-ready financial forecasting & scenario planning system deliverable.

WORKFLOW META
Agents4
Total tokens (avg)~500
Run time12 min
AI toolChatGPT · Claude · Gemini
Variables4
DifficultyAdvanced
CategoryFinance & Investment Analysis
SEQUENCE MAP · CLICK TO JUMP
· 01 ·
Forecast Model Builder
· 02 ·
Scenario Planner
· 03 ·
Sensitivity Analysis Agent
· 04 ·
Early Warning Indicator System
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
Financial Forecasting & Scenario Planning System example context
{{current_monthly_revenue}}
Current monthly revenue
Current monthly revenue
Financial Forecasting & Scenario Planning System example context
{{forecast_horizon}}
Forecast horizon
Forecast horizon
Financial Forecasting & Scenario Planning System example context
{{key_uncertainty}}
Key uncertainty
Key uncertainty
Financial Forecasting & Scenario Planning System example context
THE AGENTS

The 4-step sequence.

01
AGENT · FORECAST MODEL

Forecast Model Builder

GOAL OF THIS STEP

Build the financial forecast model structure. Define: the primary revenue driver (the one variable that most determines revenue), the key cost drivers (fixed vs. variable split), the cash conversion cycle (how long between spending money and collecting revenue), and the 3 key assumptions that will be stress-tested. Build a monthly forecast for the horizon with base case numbers, explaining the logic behind each major line item.

EXPECTED OUTPUT

Forecast model: revenue driver + cost drivers + cash cycle + 3 key assumptions + base case monthly forecast

agent-01-forecast-model-builder.md
### Input
Business type, revenue, horizon, uncertainty

### Task
Build the financial forecast model structure. Define: the primary revenue driver (the one variable that most determines revenue), the key cost drivers (fixed vs. variable split), the cash conversion cycle (how long between spending money and collecting revenue), and the 3 key assumptions that will be stress-tested. Build a monthly forecast for the horizon with base case numbers, explaining the logic behind each major line item.

### Output
Forecast model: revenue driver + cost drivers + cash cycle + 3 key assumptions + base case monthly forecast
02
AGENT · SCENARIO PLANNER

Scenario Planner

03
AGENT · SENSITIVITY ANALYSIS

Sensitivity Analysis Agent

04
AGENT · EARLY WARNING

Early Warning Indicator System

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 — 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.

Forecast Model Builder

Forecast model: revenue driver + cost drivers + cash cycle + 3 key assumptions + base case monthly forecast

Scenario Planner

4 scenarios: assumption change + revenue/EBITDA impact + management response for each

Sensitivity Analysis Agent

Sensitivity tables per assumption (5 data points each) + highest-sensitivity assumption identified + operational protection strategy

Early Warning Indicator System

5 leading indicators with thresholds + scenario trigger response playbooks + monthly forecast update process

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