Build an AI Proposal Generator with Google Docs & HubSpot
Automatically pull deal data from HubSpot, populate a branded Google Docs template, and deliver a polished, personalized proposal to your sales rep — all in under 10 minutes of setup, zero code required.
Why It Matters
Sales teams lose hours every week copy-pasting CRM data into proposal templates — time that should be spent closing deals. An AI proposal generator closes the loop between your CRM and your documents, ensuring every proposal is accurate, on-brand, and delivered fast.
Connects Your Entire Stack
Architect natively integrates with the tools your sales team already uses — no custom API work required.
Platform Capabilities
Everything you need to build, deploy, and manage a production-grade AI proposal agent — without touching infrastructure.
CRM-Aware Context Retrieval
The agent reads deal name, contact details, company size, deal value, and pipeline stage directly from HubSpot to inform every section of the proposal.
Dynamic Document Generation
Architect populates a branded Google Docs template with CRM data fields, AI-written sections, and pricing tables — producing a fully formatted, shareable document automatically.
Event-Driven Triggers
Configure the agent to fire on HubSpot deal stage changes, Slack slash commands, webhook calls, or scheduled batch runs — all without writing a single line of code.
Automated Delivery & Notification
Once the proposal is generated, the agent shares the Google Doc link with the assigned rep via Slack or email, and logs the document URL back to the HubSpot deal record.
Guardrails & Safety Controls
Set pricing floors, content policies, and approval gates so the agent only sends proposals within defined parameters — keeping your revenue team in control at all times.
Observability & Audit Logs
Every agent run is logged with inputs, outputs, and timestamps. Track which proposals were generated, when, and what CRM data was used — full audit trail included.
How It Works
Before & After Architect
- Reps spend 2-3 hours manually drafting each proposal from scratch
- Pricing errors from manual copy-paste cause costly re-negotiations
- No consistent format — every rep produces a different-looking document
- Deal context from HubSpot is never fully reflected in the final document
- Proposal sent days after the meeting — momentum is lost
- Complete, branded proposal generated automatically in under 60 seconds
- Pricing and deal values pulled directly from HubSpot — zero copy-paste errors
- Every proposal follows the same branded template — consistent across the entire team
- Document link logged back to HubSpot and shared to rep via Slack instantly
- Reps focus on closing — not formatting documents
Sample Agent System Prompt
This is a representative system prompt you would configure in Architect when building your AI proposal generator. The agent uses this context to retrieve CRM data, draft proposal sections, and format the final document.
You are an AI Proposal Generator agent for a B2B sales team. On each run, you will receive a HubSpot deal ID. Your tasks: 1. Retrieve the deal's contact name, company, deal value, and stage from HubSpot. 2. Identify the relevant product tier and pricing from the internal pricing table. 3. Populate the branded Google Docs proposal template with the retrieved data. 4. Write a 2-paragraph executive summary personalized to the company's industry. 5. Insert the correct pricing table and proposed start date based on deal value. 6. Set sharing permissions so the assigned HubSpot owner can edit the document. 7. Post the Google Doc link to the deal owner's Slack DM with a short summary. 8. Log the document URL to the HubSpot deal's "Proposal URL" custom property. Rules: Never fabricate pricing. Use only values from HubSpot or the pricing table. If deal value is missing, pause and notify the owner via Slack before proceeding.
Frequently Asked Questions
Build Your AI Proposal Generator Today
Connect HubSpot, configure a Google Docs template, and deploy a production proposal agent in under 10 minutes — no code, no infrastructure, no delays.
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