DocuSign Reveals the Gap Between AI Tools and AI Platforms

A new Deloitte study showed that organizations deploying AI point products see a 3% increase in ROI. Organizations deploying an end-to-end AI platform like DocuSign's Intelligent Agreement Management see nearly 30%, as claimed by the company. That is a 10x difference.

"A new Deloitte study quantifies this, finding that while AI point products yield a modest 3% increase in ROI, customers deploying an end-to-end AI platform like IAM, realize a nearly 30% increase or a 10x difference in value delivered," said CEO Allan Thygesen during DocuSign's Q1 FY2027 earnings call on June 4.

Enterprise software is in the middle of a debate about whether AI is better delivered as a point product, a specialized tool that does one thing very well, or as a platform capability embedded across interconnected workflows. DocuSign is making the platform argument, and now it has a named research firm putting a multiplier on it.

The Deloitte finding is the external validation. The 75% figure is the internal one. Thygesen disclosed that approximately 75% of all new code shipped at DocuSign is now AI-assisted, up from 60% just last quarter.

What the 75% Figure Says

A 25% increase in a single quarter is an acceleration that signals deliberate organizational investment rather than gradual adoption, according to the company. DocuSign is not waiting for AI tools to become standard in engineering. It is driving them to standard.

The number also contextualizes something Thygesen said about the pace of product launches. "Our pace of product innovation and product release is relentless right now. It's probably an all-time high."

The two figures together suggest a direct causal relationship. More AI-assisted development is producing more products, faster.

The Customer Evidence

Crete United, a national network of mechanical, electrical, plumbing, and building automation specialists, deployed AI-Assisted Review across its contract workflows and reduced contract negotiation times by 80% and improved deal execution speed by 90%, as claimed by DocuSign.

These outcomes significantly exceed the 36% efficiency gains that organizations report on average from AI-powered agreement workflows, according to a 2026 Deloitte study of more than 1,100 senior leaders across six countries.

Milky Moo, a milkshake franchisor operating more than 800 stores in Brazil, used DocuSign AI to track renewals and saved more than 1,000 hours of manual work in a year.

Experian deployed IAM to improve seller productivity and reduce client contract cycle times. HSBC used IAM to digitize and simplify its credit lending process.

These are four different industries, construction services, food and beverage franchising, data analytics, and banking, with the same pattern: AI applied to agreement workflows producing measurable time and cost outcomes.

That breadth of industry application is what platform AI looks like in practice versus the narrower outcomes that point products typically produce.

The most forward-looking disclosure on the call was about what is coming through DocuSign's MCP connector.

Thygesen described the inbound interest in DocuSign's MCP server, which connects IAM to Anthropic Claude, Gemini, OpenAI ChatGPT, GitHub Copilot, Microsoft Copilot Studio, and Salesforce Agentforce, as generating "thousands of people signing up for beta" and "an unprecedented level of engagement."

The MCP connector allows teams to create, query, and manage IAM agreements within the chat and agent platforms they already use, without switching to a dedicated contract management interface.

DocuSign also deepened its Anthropic partnership specifically, integrating IAM with Claude's new legal tools so legal professionals can access IAM contracts and connect to IAM workflows from directly inside Claude.

The same week DocuSign announced an OpenAI partnership, extending that same bidirectional connectivity to a second major model provider.

The MCP engagement figure is significant because it is a demand signal that predates revenue. Thousands of developers and teams signing up for beta access to a contract data connector are building workflows that will eventually generate usage and revenue.

The pipeline behind the MCP connector is the leading indicator for how agentic commerce and agentic enterprise workflows will eventually flow through DocuSign's platform.

Thygesen framed DocuSign's AI advantage in structural terms that go beyond any single partnership or product launch. More than 200 million consented private agreements have been ingested into IAM, with millions more flowing in every week.

That proprietary agreement corpus gives DocuSign's AI engine, Iris, a training advantage that public contract data cannot replicate, with a 25% improvement in precision and recall versus models trained on public data.

DocuSign has also claimed that they optimized AI processing costs by more than 50x compared to running direct prompts on large language models.