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January 22, 2026

Fireflies to PandaDoc, proposals ready for approval

Fireflies to PandaDoc, proposals ready for approval - n8n workflow automation template
Lisa Granqvist Partner Workflow Automation Expert
Fireflies to PandaDoc, proposals ready for approval - n8n workflow automation template
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Your sales call was great. Then the proposal sits in limbo because someone has to dig up the transcript, summarize key points, build a doc from a template, chase internal approval, and remember to follow up if the client goes quiet. It’s busywork that leaks deals.

This Fireflies PandaDoc automation hits sales leaders first, but agency owners and RevOps teams feel it too. You get consistent proposal drafts within hours of the call, plus a Slack approval loop so nothing ships without human sign-off.

Below, you’ll see how the workflow turns a call transcript + intake form into a PandaDoc proposal, routes it for Slack approval, updates your CRM stage, and handles follow-ups using the PandaDoc audit trail.

How This Automation Works

The full n8n workflow, from trigger to final output:

n8n Workflow Template: Fireflies to PandaDoc, proposals ready for approval

The Problem: Proposals slow down right after the call

Most teams don’t lose deals because the proposal is “bad.” They lose them because the proposal is late, inconsistent, or stuck waiting for internal approval. You finish a discovery call, then someone has to search Fireflies for the right transcript, pull out pricing and scope, and rebuild the same structure you used last week. Next comes the awkward part: posting a draft somewhere, hoping the right person reviews it, and pinging them again when they don’t. Meanwhile, the prospect’s urgency cools off. That’s the real cost.

It adds up fast. Here’s where it breaks down in day-to-day operations.

  • Proposal drafting turns into a 2-hour scavenger hunt across transcripts, notes, and old templates.
  • Internal approvals happen in scattered DMs, so you can’t tell what’s approved and what’s “pretty much fine.”
  • Rewrites pile up because every rep phrases scope and next steps differently, which means more back-and-forth later.
  • Follow-ups get missed because nobody wants to check PandaDoc status manually every day.

The Solution: Fireflies transcripts turned into approved PandaDoc proposals

This workflow starts the moment a client (or your team) submits a proposal intake form with basics like name, email, scope, budget, and timeline. n8n then searches Fireflies using that email, pulls the most relevant transcript, and retrieves the detailed call content. From there, an Azure OpenAI-powered step drafts proposal sections in a structured format (intro, problem, solution, scope, deliverables, timeline, investment, next steps). Those sections are placed into your PandaDoc template automatically, including a pricing table tied to the submitted budget. Finally, the draft is routed into Slack for approval, and only after someone approves does the workflow send the proposal, update your CRM stage, and schedule follow-ups using the PandaDoc audit trail.

The workflow kicks off from the intake form. It then combines form answers with the Fireflies transcript, generates a structured draft with an LLM, and builds a PandaDoc document from your template. Slack becomes the control center for approvals, while Airtable or HubSpot tracks the deal stage and PandaDoc status handles follow-up timing.

What You Get: Automation vs. Results

Example: What This Looks Like

Say you produce 10 proposals a week. Manually, a typical flow is about 30 minutes to find the right Fireflies transcript, about 60 minutes to draft the proposal, and another 20 minutes to format and build it in PandaDoc, plus maybe 10 minutes of Slack chasing. That’s roughly 2 hours per proposal, or about 20 hours a week. With this workflow, you spend about 10 minutes on the intake form and final edits, then approve in Slack when it looks right. You get most of that week back, and proposals go out the same day more often.

What You’ll Need

  • n8n instance (try n8n Cloud free)
  • Self-hosting option if you prefer (Hostinger works well)
  • Fireflies for call transcripts and summaries.
  • PandaDoc to generate and send proposal documents.
  • Slack for approve/request-changes routing.
  • Azure OpenAI API key (get it from Azure AI Studio / your Azure subscription).
  • Airtable or HubSpot to update deal stage automatically.

Skill level: Intermediate. You’ll connect accounts, map a few fields into your PandaDoc template tokens, and test the Slack approval loop.

Don’t want to set this up yourself? Talk to an automation expert (free 15-minute consultation).

How It Works

Intake form triggers the workflow. A client (or your team) submits the proposal intake with email, scope, budget, and timeline, which gives the automation enough structure to draft the right thing.

Fireflies transcript retrieval happens next. n8n searches the transcript list using the client email, then pulls the detailed transcript and summary so the draft reflects what was actually said on the call.

The proposal draft is generated as structured content. Azure OpenAI takes the form answers plus transcript and returns clean sections (like scope of work and next steps) in JSON, so your document stays consistent and easy to map.

PandaDoc creation, Slack approval, then sending. The workflow creates a proposal from your PandaDoc template, posts it to Slack with Approve / Request Changes, and loops revisions back through the AI step until it’s approved. After sending, it updates Airtable/HubSpot and checks the PandaDoc audit log after a 48-hour wait to decide whether to remind or mark the deal as signed.

You can easily modify the approval channel and the proposal tool to match how your team already works. See the full implementation guide below for customization options.

Step-by-Step Implementation Guide

Step 1: Configure the Form Trigger

Set up the intake form that captures client details and starts the workflow.

  1. Add and open Form Intake Trigger.
  2. Set Form Title to Client Proposal.
  3. Set Form Description to Generate a proposal for client.
  4. Confirm the required fields (e.g., Client First Name, Client Email, Scope, Budget) match the form field definitions in the node.

⚠️ Common Pitfall: If the form field labels don’t match exactly (e.g., Client Email), downstream expressions like {{ $('Form Intake Trigger').item.json['Client Email'] }} will resolve to empty values.

Step 2: Connect Fireflies Transcript Retrieval

Pull the latest sales call transcript for context enrichment.

  1. Open Retrieve Transcript List and set Operation to getTranscriptsList.
  2. Set Filters → participantEmail to {{ $json['Client Email'] }}.
  3. Credential Required: Connect your firefliesApi credentials in Retrieve Transcript List.
  4. Open Fetch Transcript Detail and set transcriptId to {{ $json.data.id }}.
  5. Credential Required: Connect your firefliesApi credentials in Fetch Transcript Detail.

Step 3: Initialize Draft State for Revisions

Seed initial draft variables used by the AI node to support revisions.

  1. Open Initialize Draft Values.
  2. Ensure assignments include draftText set to "" and lastFeedback set to "".
  3. Confirm the flow Fetch Transcript Detail → Initialize Draft Values → Generate Proposal Draft is connected.

Step 4: Set Up AI Drafting and Structured Parsing

Generate a structured proposal draft using Azure OpenAI and parse it into JSON fields.

  1. Open Generate Proposal Draft and confirm the prompt includes dynamic fields like {{ $('Fetch Transcript Detail').item.json.data.summary }} and {{ $('Form Intake Trigger').item.json['Client Industry'] }}.
  2. Confirm Prompt Type is set to Define and Has Output Parser is enabled.
  3. Open Azure Chat Engine and set Model to Open AI.
  4. Credential Required: Connect your azureOpenAiApi credentials in Azure Chat Engine.
  5. Open Structured JSON Parser and confirm the JSON Schema Example matches the fields your PandaDoc template expects.
  6. Note: Structured JSON Parser is an AI sub-node; credentials are added on Azure Chat Engine, not on the parser node.

⚠️ Common Pitfall: If the parser schema doesn’t include all needed keys (e.g., scope_of_work or deliverables), tokens in Create Proposal Document will be blank.

Step 5: Configure PandaDoc Document Creation and Approval

Create the proposal in PandaDoc, route it to Slack for review, and handle approval or revision.

  1. Open Create Proposal Document and set URL to https://api.pandadoc.com/public/v1/documents.
  2. Ensure Method is POST and Specify Body is JSON.
  3. In JSON Body, keep the token mapping like {{ $json.output.introduction }} and {{ $json.output.scope_of_work[0] }}.
  4. Replace [YOUR_ID] in template_uuid with your PandaDoc template ID.
  5. Set the Authorization header to API-Key [CONFIGURE_YOUR_API_KEY] and replace it with your real API key.
  6. Open Approval Request in Slack and verify Operation is sendAndWait and Message is Check the Proposal generated by AI- https://app.pandadoc.com/a/#/documents/{{ $json.id }}.
  7. Credential Required: Connect your slackApi credentials in Approval Request in Slack.
  8. In Approval Decision, confirm the condition checks {{ $json.data['Do you want to approve?'] }} equals Approve.
  9. Verify the disapproval path goes to Revise Draft Inputs, which sets draftText to {{ $('Generate Proposal Draft').item.json.output }} and lastFeedback to {{ $json.data['If Disapproved, please enter feedback'] }}, then loops back to Generate Proposal Draft.

⚠️ Common Pitfall: PandaDoc requests use API headers in each HTTP node. If any header still contains [CONFIGURE_YOUR_API_KEY], the workflow will fail at that step.

Step 6: Send Proposal, Update CRM, and Schedule Reminders

Send the approved proposal, update Airtable stages, and follow up with reminders if needed.

  1. Open Delay Before Send and set Amount to 10.
  2. Open Dispatch Proposal and set URL to https://api.pandadoc.com/public/v1/documents/{{ $('Create Proposal Document').item.json.id }}/send.
  3. Open Notify Proposal Sent and confirm the message uses {{ $json.recipients[0].first_name }} and {{ $('Form Intake Trigger').item.json['Client Company Name'] }}.
  4. Credential Required: Connect your slackApi credentials in Notify Proposal Sent.
  5. Open Update CRM Stage and set Operation to upsert with Stage set to Proposal Sent.
  6. Credential Required: Connect your airtableTokenApi credentials in Update CRM Stage.
  7. Open Delay Follow-up and set Amount to 10, then verify it leads to Retrieve Audit Log.
  8. In Retrieve Audit Log, Lookup Recipient ID, and Send Panda Reminder, confirm the PandaDoc URLs use {{ $('Create Proposal Document').item.json.id }}.
  9. In Check Reminder Threshold, ensure the condition is {{ $json.count }} is less than 9 to route reminders; otherwise it proceeds to Mark Signed Stage.
  10. Credential Required: Connect your slackApi credentials in Notify Reminder Sent, and your airtableTokenApi credentials in Mark Reminder Stage and Mark Signed Stage.

Tip: There are multiple PandaDoc HTTP nodes (5 total). Keep headers consistent across Create Proposal Document, Dispatch Proposal, Retrieve Audit Log, Lookup Recipient ID, and Send Panda Reminder.

Step 7: Test and Activate Your Workflow

Run a full test to confirm document creation, approval routing, and CRM updates before going live.

  1. Click Execute Workflow and submit the Form Intake Trigger form with test data.
  2. Verify Retrieve Transcript List and Fetch Transcript Detail return a transcript for the test email.
  3. Confirm Generate Proposal Draft outputs structured JSON that matches Structured JSON Parser.
  4. Check that Create Proposal Document creates a PandaDoc document and that Approval Request in Slack delivers the review request.
  5. Approve or disapprove in Slack to validate both the Delay Before Send path and the Revise Draft Inputs loop.
  6. Verify Notify Proposal Sent and Update CRM Stage run after dispatch, then validate reminder flow through Retrieve Audit Log → Check Reminder Threshold → Send Panda Reminder.
  7. Once successful, toggle the workflow Active to enable production use.
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Common Gotchas

  • Fireflies credentials can expire or need specific permissions. If things break, check your Fireflies API key and workspace access first.
  • If you’re using Wait nodes or external document sending, processing times vary. Bump up the wait duration if downstream PandaDoc audit-log checks fail on empty responses.
  • Default prompts in AI nodes are generic. Add your brand voice and proposal rules early, or you will be editing every “draft” anyway.

Related Workflows

If your intake already starts in a form tool, Jotform to Google Docs, proposals sent via Gmail is a solid companion workflow for teams that want a simpler “doc + email” path alongside PandaDoc.

For teams that present proposals as a deck instead of a doc, Google Slides + Airtable, proposals ready to send pairs nicely with this setup, especially when you still want consistent stage tracking in Airtable.

Need the sending part to feel effortless and organized? Gmail + Google Drive: proposals sent and filed fast helps when your process includes archiving every sent proposal into the right client folder automatically.

When your draft content already lives in a spreadsheet (pricing tiers, packages, scope options), Google Sheets to Gmail, proposal drafts ready to send can complement this workflow by standardizing what gets proposed before you ever generate a doc.

Finally, if you want to test AI-generated proposals without building the whole Fireflies-to-PandaDoc chain on day one, OpenAI to Gmail, client proposals sent instantly is a lighter-weight starting point.


Quick reference:

Frequently Asked Questions

How long does it take to set up this Fireflies PandaDoc automation?

About 60–90 minutes once your PandaDoc template and tokens are ready.

Do I need coding skills to automate Fireflies PandaDoc automation?

No. You’ll mainly connect accounts and map fields into your template. The only “technical” part is careful testing of the Slack approval loop.

Is n8n free to use for this Fireflies PandaDoc automation workflow?

Yes. n8n has a free self-hosted option and a free trial on n8n Cloud. Cloud plans start at $20/month for higher volume. You’ll also need to factor in Azure OpenAI usage costs, which usually land around a few cents per draft depending on transcript length.

Where can I host n8n to run this automation?

Two options: n8n Cloud (managed, easiest setup) or self-hosting on a VPS. For self-hosting, Hostinger VPS is affordable and handles n8n well. Self-hosting gives you unlimited executions but requires basic server management.

Can I customize this Fireflies PandaDoc automation workflow for DocuSign instead of PandaDoc?

Yes, but you’ll swap the HTTP Request steps that create/send the PandaDoc document with DocuSign (or your preferred tool) API calls. Most teams also adjust the “Create Proposal Document” mapping, since templates and token systems vary by platform. Common customizations include changing the pricing table logic, routing approvals to a different Slack channel, and adding required legal clauses by industry.

Why is my Fireflies connection failing in this workflow?

Usually it’s an expired or revoked Fireflies API key. Regenerate the key, update the credential in n8n, and confirm the account still has access to the workspace where the calls are stored. If you’re searching by email, also verify the email in the intake form matches what Fireflies associates with the meeting invite.

How many proposals can this Fireflies PandaDoc automation handle?

A lot. On n8n Cloud you’re mainly limited by your monthly execution quota, and on self-hosting there’s no hard execution cap (it depends on your server). Practically, the biggest limiter is how long transcripts are and how quickly your LLM and PandaDoc endpoints respond when you run multiple drafts at once.

Is this Fireflies PandaDoc automation better than using Zapier or Make?

Often, yes, because this workflow needs branching logic (approve vs. request changes), a revision loop, and timed follow-ups based on audit logs. n8n handles that kind of “real process” automation cleanly, and self-hosting can be a big cost win once you run lots of proposals. Zapier or Make can still work if you only want a simple “transcript → draft → send” flow with no approval loop. If you’re unsure, Talk to an automation expert and get a quick recommendation based on your volume and tools.

Once this is running, proposals stop being a “when we get to it” task. The workflow handles the repetitive parts, and you keep the final approval where it belongs: in Slack, with a human decision.

Need Help Setting This Up?

Our automation experts can build and customize this workflow for your specific needs. Free 15-minute consultation—no commitment required.

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Lisa Granqvist

Workflow Automation Expert

Expert in workflow automation and no-code tools.

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