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Productivity

Put an AI agent to work in PandaDoc

Connect PandaDoc in one click and delegate the paperwork: an autonomous agent that assembles proposals from your CRM, chases signatures politely, reports document status, and prepares renewals before they lapse. You set the autonomy, it does the work.

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In short

Fleece AI connects to PandaDoc through managed OAuth and lets autonomous agents create documents from templates, populate quotes, send for e-signature, run approval workflows, and read document analytics. Agents combine PandaDoc with 3,000+ other apps — HubSpot, Gmail, Slack, Google Drive — so a deal becomes a proposal, a signature, and a filed contract, under the approval rules you set.

At a glance

CategoryProductivity
AvailabilityPro plan and up — included in the 7-day trial
Connects to3,000+ apps via managed OAuth
SetupConnect your tools — no code required
AutonomySuggest-only to fully autonomous, with approval gates
Pricing7-day trial (€1 card check, credited back), then paid plans

By Loïc Jané · Updated June 24, 2026

What a Fleece agent does with PandaDoc

PandaDoc is where deals get papered — proposals and quotes assembled from templates and a shared content library, sent for e-signature, routed through approval workflows, and tracked with document analytics that show who opened what and when. The documents are the easy part; the work is everything around them: pulling the latest numbers from the CRM, chasing the signature that has gone quiet, telling the deal owner it was viewed, and getting the renewal ready before the contract lapses. A Fleece agent handles that surrounding work.

Under the hood, the connection runs through managed OAuth — you authorize PandaDoc once, and Fleece handles tokens, scopes, and refresh securely. From there the agent can create documents from your templates, drop in blocks from the content library, populate quotes and pricing, send for e-signature, move documents through approval workflows, and read document analytics to see what is viewed, stalled, or signed. Triggers let it react the moment a document changes state — opened, completed, or expiring — with no polling and no delay.

What makes this different from a fixed template automation is judgment. An agent reads the actual deal — the stage, the amounts, the contact — decides which template and which pricing fit, drafts the follow-up in a tone that matches the relationship, and coordinates the CRM and inbox to finish the job. And because Fleece agents work as a hierarchy — a lead agent delegating to specialized child agents — one document-facing agent can hand pricing to one child, follow-ups to another, and reporting to a third, then report back when the deal is signed.

What the agent can do in PandaDoc

Proposals from deal data

Assembles documents from your templates and content library, populating quotes and pricing with the latest numbers pulled from your CRM.

Signature chasing

Chases e-signatures with polite, well-timed follow-ups, escalating only when a document has genuinely stalled rather than nagging on a fixed timer.

Status digests

Reads document analytics and posts a digest of what was viewed, what stalled, and what got signed, so the team knows where every deal stands.

Approval gates

Anything sent externally — a proposal, a contract, a discount — pauses for your one-click sign-off before it leaves.

Real-time triggers

Reacts the moment a document is opened, completed, or nearing expiry, through event-based triggers rather than polling.

Renewals ahead of time

Prepares contract renewals before end dates, drafting the document from the prior terms and flagging the ones that need a human decision.

Integrations

Automations teams run on PandaDoc

These are concrete setups you can describe to a Fleece agent in plain language. Each one combines PandaDoc with other connected apps.

1

Sales: proposals assembled from the deal, ready to review

When a HubSpot deal reaches the proposal stage, the agent builds the document from the right PandaDoc template, pulls the contact and line items into a quote from the content library, and prepares it to send. Before anything goes out, it pauses for a one-click review so the rep can adjust pricing — then it sends for e-signature.

2

Follow-up: chase signatures without nagging

The agent watches document analytics for proposals that were opened but not signed, and drafts a polite Gmail follow-up timed to the reader's activity rather than a fixed clock. If a high-value contract stalls past a threshold, it pings the deal owner in Slack with the context so they can step in personally.

3

Visibility: a document-status digest in Slack

Every morning the agent posts a digest to a Slack channel from PandaDoc's document analytics: what was viewed overnight, what has stalled, and what got signed. Signed documents are filed to the right Google Drive folder automatically, so the paperwork is where finance expects it without anyone moving files by hand.

4

Renewals: contracts prepared before they lapse

Ahead of each contract end date, the agent prepares the renewal document from the prior terms, checks the account's status in HubSpot, and drafts the outreach email in Gmail for the owner to approve. Renewals that need a price change or a human decision are flagged rather than sent automatically.

How to connect PandaDoc to Fleece AI

1

Create your Fleece account

Sign up and start the 7-day trial. You land in a workspace where agents, flows, and integrations live together.

2

Connect PandaDoc via managed OAuth

Pick PandaDoc from the integrations catalog and authorize it in one click. Fleece manages tokens and scopes for you; you can revoke access at any time from PandaDoc or from Fleece.

3

Describe the job in plain language

Create an agent and tell it what to prepare and when — 'when a HubSpot deal hits proposal stage, build the document from our template, and let me approve before it sends'. No flowchart building required.

4

Set autonomy and approval gates

Choose what the agent may do on its own and what waits for your sign-off. Sending a proposal or contract can pause for one-click approval.

5

Run it on triggers or a schedule

Let the agent react to document events in real time, or schedule recurring flows — a morning status digest, a weekly renewals check — that run without you.

PandaDoc

PandaDoc works better with the rest of your stack

A document is the middle of a deal, not the whole of it. Pair PandaDoc with HubSpot to build proposals from live deal data and write status back to the CRM, with Gmail to chase signatures and send renewals, with Slack to alert owners when a document stalls or signs, and with Google Drive to file completed contracts where finance looks — all through the same agent, under the same approval rules. Fleece connects to 3,000+ apps, so the stack you already use is almost certainly covered.

Explore all 3,000+ integrations

Frequently asked questions

Put your document workflow on autopilot

Connect PandaDoc in one click, describe the job in plain language, and let an autonomous agent handle the paperwork. 7-day trial, cancel anytime.

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