Multi-agentBusiness Strategy & PlanningAdvancedFree

Fundraising Strategy & Pitch System.

4 agents, 4 deliverables.

Create a complete business strategy & planning strategy with clear recommendations, execution steps, and success metrics.

WORKFLOW META
Agents4
Total tokens (avg)~500
Run time12 min
AI toolChatGPT Β· Claude Β· Gemini
Variables4
DifficultyAdvanced
CategoryBusiness Strategy & Planning
SEQUENCE MAP Β· CLICK TO JUMP
Β· 01 Β·
Investor Targeting Agent
Β· 02 Β·
Pitch Narrative Architect
Β· 03 Β·
Financial Story Teller
Β· 04 Β·
Due Diligence Preparer
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_stage}}
Business stage
Business stage
Fundraising Strategy & Pitch System example context
{{funding_amount_sought}}
Funding amount sought
Funding amount sought
Fundraising Strategy & Pitch System example context
{{traction_to_date}}
Traction to date
Traction to date
2026-06-30
{{use_of_funds}}
Use of funds
Use of funds
Fundraising Strategy & Pitch System example context
THE AGENTS

The 4-step sequence.

01
AGENT Β· INVESTOR TARGETING

Investor Targeting Agent

GOAL OF THIS STEP

Define the ideal investor profile for this raise: the fund stage match, typical check size, sector focus, geographic preference, and key decision criteria. Identify 3 types of investors to target (lead, follow-on, angels) and for each type: 5 specific names/firms in India, their portfolio signals, and the warm intro approach.

EXPECTED OUTPUT

Investor profile + 3 investor types with 5 names each + warm intro strategy per type

agent-01-investor-targeting-agent.md
### Input
Stage, funding amount, traction

### Task
Define the ideal investor profile for this raise: the fund stage match, typical check size, sector focus, geographic preference, and key decision criteria. Identify 3 types of investors to target (lead, follow-on, angels) and for each type: 5 specific names/firms in India, their portfolio signals, and the warm intro approach.

### Output
Investor profile + 3 investor types with 5 names each + warm intro strategy per type
02
AGENT Β· PITCH NARRATIVE

Pitch Narrative Architect

03
AGENT Β· FINANCIAL STORY

Financial Story Teller

04
AGENT Β· DUE DILIGENCE

Due Diligence Preparer

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.

Investor Targeting Agent

Investor profile + 3 investor types with 5 names each + warm intro strategy per type

Pitch Narrative Architect

5-section pitch narrative (3 bullets each): Problem + Market + Solution + Traction + Ask

Financial Story Teller

Financial narrative: unit economics story + 18-month projection + key assumptions + investor challenge prep

Due Diligence Preparer

10 hardest investor questions with answers + red flag handling + data room checklist (10 items)

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