AI agents can generate and route legally binding documents from a single prompt — backed by robust verification methods like QES, 21 CFR Part 11 alignment, KBA, and integrated Notary

PandaDoc, an easy-to-use document automation software provider for SMBs and mid-market teams, today expanded its AI infrastructure with a new server built on the Model Context Protocol (MCP). The release includes a robust compliance suite, deeper investments in integrated PandaDoc Notary, and the launch of new flexible and free plans that put decision making back in the hands of customers.

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AI agents can generate and route legally binding documents from a single prompt — backed by robust verification methods like QES, 21 CFR Part 11 alignment, KBA, and integrated Notary

Together, these moves signal PandaDoc’s boldest challenge yet to incumbents like Docusign and Adobe. “With MCP-powered automation and flexible pricing options, we’re giving teams AI-speed agreements and enterprise trust, without the need to anchor on seat based pricing,” said Mikita Mikado, CEO of PandaDoc.

Automated Delivery from a Single Prompt

PandaDoc’s new MCP server lets developers connect AI agents to drive complete agreement flows with natural language instructions. A plain-English instruction like “create a sales proposal for Acme at $25,000/year and send for signature” becomes an executed workflow: templates selected, variables merged, draft agreement review, routing initiated, status tracked, and signatures captured. Instead of stitching together brittle chains of API calls, teams get a dependable document layer that turns intent into signed outcomes — fast.

A Compliance Suite that’s Auditor-Ready

PandaDoc’s recent upgrades also provide customers with even more ways to ensure their documents are audit-ready. Customers now have a wide array of choices to stay compliant, including identity verification options like passcode or SMS verification, KBA, or ID check, QES for eIDAS-grade recognition across the EU, 21 CFR Part 11 alignment for life sciences and healthcare, and remote online notarization via PandaDoc Notary. The result: speed and flexibility without sacrificing compliance, all backed by PandaDoc's AI innovations.

Pricing Built for Results, Not Seats

PandaDoc is further disrupting the industry by breaking with seat-centric pricing. With the Launch Plan, seats are free and unlimited, and companies pay for results (documents sent/signed). The Free eSign plan allows sending up to 60 documents per year at no cost, far exceeding the lifetime limit of 3 documents on Docusign's free plan.

The Challenger Position

In a $50B+ global e-signature and agreement software market, PandaDoc has always thrived by focusing on ease of use, affordability, and innovation. With this year’s launches, the company is signaling that it’s not just catching up with category leaders — it’s leaping ahead in AI infrastructure, compliance readiness, and customer-first pricing.

“Agreements power the economy,” says PandaDoc’s CEO Mikita Mikado. “We’re making sure that every business — from a startup to a global enterprise — has access to secure, intelligent, and affordable technology to generate, execute and store agreements. That’s how we’ll redefine this industry.”

Learn more about our MCP release.

About PandaDoc

Founded in 2013, PandaDoc is a leading document automation software platform that empowers professional teams to simplify and automate the creation, management, and signing of critical business documents of every kind. By combining intuitive e-signature technology with robust analytics and collaboration tools, PandaDoc helps businesses increase efficiency, close deals faster, and create exceptional customer experiences.

Proudly remote-first, PandaDoc’s team of 700+ employees serves over 56,000 customers worldwide. Backed by prominent investors including OMERS Growth Equity, Microsoft’s M12, HubSpot, and Altos Ventures, PandaDoc is dedicated to delivering bold, transparent, and practical solutions to help businesses of every size operate and win.

For more information, please visit: www.PandaDoc.com

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