How to Build a Proposal Generation System Using PandaDoc and Make That Turns Your Sales Emails Into Client Proposals in 3 Minutes
Published 2026-07-06 by Zero Day AI
We built this system in under two hours using PandaDoc, Make, and Claude. It pulls data from a sales email and spits out a formatted construction proposal in about 3 minutes. This guide covers the tools you need, the exact steps to connect them, and the honest gotchas nobody else will tell you.
Picture this: a lead emails you on a Tuesday afternoon. By the time you finish your coffee, a polished proposal is already in their inbox. Your competitor is still copying and pasting from last month's Word doc. That gap is what this system closes.
What Is a Proposal Generation System and Why Does It Matter?
A proposal generation system connects your incoming sales emails to a document tool. It reads the email, pulls out the key details, fills in a pre-built template, and sends a finished proposal to the client. No manual formatting. No copy-paste errors.
For corporate teams in construction, this matters because proposals are slow. The average construction proposal takes 90 minutes to 3 hours to build manually, according to industry surveys. Multiply that by 10 proposals a month and you are losing 30 hours to document work that a system can handle in seconds.
This is the foundation of a PandaDoc for construction proposals tutorial that actually runs in production, not just in demos.
Which Tools Should You Use?
You need three things: a document tool, an automation layer, and an AI brain. Here is what we use and what the alternatives cost.
| Tool | Role | Price | Best For |
|---|---|---|---|
| PandaDoc | Proposal builder and sender | From $35/month per user | Templates, e-sign, tracking |
| Make | Automation and workflow | Free to $9/month (core) | Connecting apps without code |
| Claude (Anthropic) | Extracting data from emails | Pay per use, ~$0.003 per 1K tokens | Long email threads, context |
| Zapier | Alternative to Make | From $20/month | Simpler setups, fewer steps |
| ChatGPT (OpenAI) | Alternative AI brain | $20/month flat | Faster for short extractions |
We use Claude for this workflow. ChatGPT works too, but Claude handles longer email threads and messy formatting better. If your sales emails are short and clean, ChatGPT is fine.
For the automation layer, Make is cheaper than Zapier and handles multi-step scenarios without hitting task limits as fast. The free plan covers 1,000 operations per month, which is enough to test the system before you commit.
If you want to go deeper on connecting PandaDoc to your CRM, this guide on PandaDoc with Zapier and your CRM covers that integration in detail.
How to Get Started Step by Step
- Build your PandaDoc template. Open PandaDoc, click Templates, then New Template. Add variable fields like `{{client_name}}`, `{{project_address}}`, `{{scope_of_work}}`, and `{{total_cost}}`. Save it.
- Get your PandaDoc API key. Go to Settings, then Integrations, then API. Click Create API Key. Copy it somewhere safe.
- Set up a Make scenario. Log into Make, click Create a New Scenario. Add a Gmail or Outlook trigger set to watch for new emails in your sales inbox.
- Add a Claude or OpenAI module. After the email trigger, add an HTTP module or the OpenAI module. Send the email body to Claude with a prompt like: "Extract the client name, project address, scope of work, and estimated budget from this email. Return as JSON."
- Map the extracted data to PandaDoc. Add a PandaDoc module in Make. Select Create Document from Template. Map each JSON field to the matching template variable.
- Add a Send module. After the document is created, add a PandaDoc Send module. Set the recipient to the email sender's address. Set status to Sent.
- Test with a real email. Send a test sales inquiry to your inbox. Watch Make run the scenario. Check PandaDoc for the generated document.
The whole setup takes about 90 minutes the first time. After that, every new email triggers the system automatically.
This is the same logic we applied when we looked at how to set up AI proposal software that generates custom quotes in 3 minutes. The pattern is identical across industries.
What to Watch Out For
The biggest gotcha is messy email data. If a client sends a vague email with no budget or unclear scope, Claude will either guess or return empty fields. Your proposal will go out half-filled. Fix this by adding a Make filter that checks for required fields before the document is created. If fields are missing, route the email to a Slack alert instead of auto-sending.
The second issue is PandaDoc's API rate limit. On the Business plan, you can create up to 100 documents per day via API. For most corporate teams that is plenty. If you are running high volume, check your plan limits before you go live.
Someone in your industry built this system last week. They are already sending proposals while their competitors are still formatting Word docs. While you read this, the gap between you and them gets wider. Every week you wait is another 30 hours of manual proposal work your team does not need to do. Zero Day AI gives you mission files that tell your AI exactly what to build. You paste. It builds. You walk away with a working system in under an hour. Try it for $1. Two weeks. Full access. If it is not for you, cancel. But the gap does not close itself.
What to Do Right Now
Open PandaDoc and build your first template today. That single step unlocks everything else. You cannot automate a proposal you have not templated yet. Set aside 30 minutes, build the template, add your variable fields, and save it. Then come back and wire up Make tomorrow.
Every week you wait is another 10 to 15 hours of manual proposal work your team absorbs. That time has a real dollar cost. At $75 per hour for a mid-level project manager, that is $750 to $1,125 per week in labor you could redirect. Start the $1 trial and build this today.
Every week you wait, someone in your industry gets further ahead with AI. They are building faster, charging less, and winning the clients you are still chasing manually. That gap does not close on its own.
Get started for $1Step by step mission files that build real AI systems for you. Cancel anytime.