Multi-agentSales & Revenue GenerationAdvancedFree

Proposal & Closing System.

4 agents, 4 deliverables.

Run a multi-agent workflow to produce an execution-ready proposal & closing system deliverable.

WORKFLOW META
Agents4
Total tokens (avg)~500
Run time12 min
AI toolChatGPT Β· Claude Β· Gemini
Variables4
DifficultyAdvanced
CategorySales & Revenue Generation
SEQUENCE MAP Β· CLICK TO JUMP
Β· 01 Β·
Proposal Strategist
Β· 02 Β·
Proposal Writer
Β· 03 Β·
Objection Handler
Β· 04 Β·
Closing Sequence Designer
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.

{{client_name_type}}
Client name type
Client name type
Proposal & Closing System example context
{{client_s_stated_problem}}
Client s stated problem
Client s stated problem
Proposal & Closing System example context
{{your_proposed_solution}}
Your proposed solution
Your proposed solution
Proposal & Closing System example context
{{proposed_investment}}
Proposed investment
Proposed investment
Proposal & Closing System example context
THE AGENTS

The 4-step sequence.

01
AGENT Β· PROPOSAL STRATEGIST

Proposal Strategist

GOAL OF THIS STEP

Build the proposal strategy before writing a word. Define: the decision-maker's primary buying motivation (ROI / risk reduction / status / speed), the 3 objections most likely to kill this deal, the competitive threat (who else are they considering?), and the compelling event (why decide now?). Map the proposal structure to address all of these.

EXPECTED OUTPUT

Proposal strategy: buying motivation + 3 likely objections + competitive threat + compelling event + structure map

agent-01-proposal-strategist.md
### Input
Client problem, solution, investment

### Task
Build the proposal strategy before writing a word. Define: the decision-maker's primary buying motivation (ROI / risk reduction / status / speed), the 3 objections most likely to kill this deal, the competitive threat (who else are they considering?), and the compelling event (why decide now?). Map the proposal structure to address all of these.

### Output
Proposal strategy: buying motivation + 3 likely objections + competitive threat + compelling event + structure map
02
AGENT Β· PROPOSAL WRITER

Proposal Writer

03
AGENT Β· OBJECTION HANDLER

Objection Handler

04
AGENT Β· CLOSING SEQUENCE

Closing Sequence Designer

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.

Proposal Strategist

Proposal strategy: buying motivation + 3 likely objections + competitive threat + compelling event + structure map

Proposal Writer

Full proposal draft: 6 sections fully written and formatted for the client

Objection Handler

3 objection handlers (Acknowled ge/Reframe/Evidence) + proof points + 2 trial close questions

Closing Sequence Designer

5-step closing sequence with full scripts and email copy for each step

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