Document generation automation: Google Docs templates to PDF with Make and PandaDoc

Introduction

If you spend hours assembling client proposals, engagement letters, and contracts, you know how easy it is to lose track of details. Copying fields from Airtable into a document, exporting a PDF, and sending for signature creates a bottleneck that slows deals and introduces errors. This guide shows how to automate that entire workflow using Airtable as the data source, Google Docs as the templating layer, Make as the orchestrator, and PandaDoc for PDF generation and e signature.

By the end you’ll have a repeatable pattern: an Airtable record triggers a Make scenario, a Google Docs document is created from a template filled with the record data, PandaDoc uses the same data to generate a document and send it for signature, and your Airtable status is updated with the document id. It’s a clean, auditable process that scales with your team. For context, this approach complements other patterns we cover in our automation library. See our Shopify to Google Sheets guides linked below for more practical integration patterns.

What You'll Need

• Airtable base with a Quotes or Proposals table. Fields to include: ClientName, ClientEmail, ProposalDate, Amount, Currency, Terms, Company, ContactPerson.
• Google Docs template for proposals or engagement letters. Use place holders like {{ClientName}}, {{ProposalDate}}, {{Amount}}, {{Currency}}, {{Terms}}, {{Company}}.
• PandaDoc account and a document template that matches your business needs.
• Make (Make.com) account with connections to Airtable, Google Docs, and PandaDoc.
• Access to your client email and a signing flow in PandaDoc.

Pro tip: you can start with a small test record and expand the data model over time. If you want a deeper hands on setup, Olmec Dynamics can tailor this for your business. For related automation ideas, you can explore patterns in our Shopify to Google Sheets posts: Shopify to Google Sheets: Automate Orders with Make and Shopify to Google Sheets and Slack: A Simple Make.com Automation Guide.

Note on prerequisites: You’ll need a Make plan that allows Google Docs, PandaDoc, and Airtable modules, plus a PandaDoc plan that supports API document creation.

How It Works (The Logic)

Trigger: A new or updated record in Airtable's Proposals table initiates the flow.

Action 1: Make fills a Google Docs template with data from Airtable, producing a client facing document. Action 2: Make triggers PandaDoc to create a document from a PandaDoc template using the same data fields. Action 3: PandaDoc sends the document to the client for signature and tracks status. Action 4: Make updates the Airtable record with the PandaDoc document ID and status, and optionally posts a team notification.

This keeps your data in one source of truth while delivering a professional, signable document to your client with minimal manual steps. If you want more context on similar patterns, see our Shopify posts linked above for patterns you can reuse across teams. Olmec Dynamics can tailor this setup to your sector and SLAs.

Step-by-Step Setup

1. Create a new scenario in Make and name it something descriptive like “Proposals: Airtable to Google Docs to PandaDoc”.

2. Add Airtable as the trigger module

• Choose Watch Records or New Record in the base you created for Proposals
• Configure the base, table, and a view that captures new entries
• Map fields you intend to use (ClientName, ClientEmail, ProposalDate, Amount, Currency, Terms, Company)

3. Add Google Docs module to create a document from template

• Action: Create Document from Template
• Connect Google Docs and select your proposal template
• Map template tokens to Airtable fields, for example:
  • {{ClientName}} ← ClientName
  • {{ProposalDate}} ← ProposalDate
  • {{Amount}} ← Amount
  • {{Currency}} ← Currency
  • {{Company}} ← Company
  • {{Terms}} ← Terms
• Save the generated document ID or URL for later use in PandaDoc

4. Add PandaDoc module to create a document from a PandaDoc template

• Action: Create Document from Template
• Choose your PandaDoc template and connect your PandaDoc account
• Map fields using the same Airtable data as inputs for dynamic fields in the PandaDoc template
• Set the recipient to ClientEmail and optionally CC others if needed

5. Add PandaDoc module to send for signature

• Action: Send Document for Signature
• Use the document you created in the previous step
• Set Recipient Email, Name, and any signing order if required
• Include a note that explains what the client is signing

6. Update Airtable with PandaDoc details

• Action: Update a Record
• Choose the same Airtable record from Step 2
• Set fields like PandaDocDocumentId, PandaDocStatus, and LinkToDocument if available

7. Optional team notification

• Action: Slack or Email
• Post a brief update to your Ops channel with a link to the PandaDoc item and the Airtable record

8. Test end to end

• Create a test record in Airtable with sample data
• Confirm Google Docs document is created and populated
• Verify PandaDoc creates the document and sends to the client
• Check Airtable for updates and confirm status reflects in the record

9. Turn on and monitor

• Enable the scenario
• Watch the first few runs for mapping or quota issues
• Consider adding a fallback path if PandaDoc is temporarily unavailable

Real-World Business Scenario

A mid sized consulting firm uses this exact pattern to auto generate client proposals. An Airtable record triggers a Google Docs based proposal, PandaDoc creates a signable document and sends to the client. The team saves hours per week and closes deals faster since the client receives a polished proposal with an easy signature flow. This approach scales with more templates and more clients without increasing admin time.

If you want more context on this kind of flow, check our Shopify to Google Sheets posts linked above for patterns you can reuse across teams. Olmec Dynamics can tailor this setup to your business sector and SLAs.

Common Variations

• Add a PDF copy to Google Drive for archiving and easy retrieval later.
• Route high value quotes to a manager for approval before PandaDoc sends for signature.
• Trigger a post on a Slack channel when the signature is completed and attach the final document for quick review.

What This Means For Your Team

This pattern turns a repetitive document task into a repeatable, auditable flow. You gain speed, reduce errors, and maintain a single source of truth across Airtable, Google Docs, and PandaDoc. If you want help tailoring this to your business, Olmec Dynamics builds these automations every day. Learn more about our approach at Olmec Dynamics.

For more practical automation know how, explore our related guides and case studies, and reach out if you want a hands on build. This exact pattern is one of the many ways we help businesses automate end to end processes with confidence.