New Deloitte Study Shows that AI-powered Agreement Management Is Paying Off

Docusign (NASDAQ: DOCU) and Deloitte report that AI-powered, end-to-end agreement management drives measurable returns.

Rhea-AI Summary

Docusign (NASDAQ: DOCU) and Deloitte report that AI-powered, end-to-end agreement management drives measurable returns. The 2026 study of 1,100+ senior leaders finds agentic workflows yield nearly 30% higher ROI versus fragmented tools and reports average gains: 36% efficiency, 36% cost avoidance, 29% labor cost savings, and 72% accuracy improvements.

The report highlights widespread manual post-signature work (61%) and tool fragmentation (65% use four+ tools), and promotes platform-based Intelligent Agreement Management to capture earlier AI insights and action.

Positive

• Nearly 30% higher ROI for agentic end-to-end workflows
• 36% efficiency gains from time savings and cycle reductions
• 29% labor cost savings reported on average
• 72% improvement in agreement accuracy and compliance

Negative

• 61% of organizations still rely on manual post-signature processes
• 65% use four or more tools, causing fragmented workflows and friction
• Benefit realization gap between fragmented tools and end-to-end platforms

Argus Apr 16 session

-1.67% close to close Open Argus

Details

News Market Reaction – DOCU

On Apr 16, the day this news came out, DOCU closed 1.67% below the previous close.

Data tracked by StockTitan Argus for the Apr 16 session.

Key Figures

Higher ROI from AI workflows: nearly 30% higher ROI Economic cost of poor agreements: $2 trillion Organizations using manual insight processes: 61% +5 more

Higher ROI from AI workflows

nearly 30% higher ROI

Organizations using agentic workflows within end-to-end agreement platforms

Economic cost of poor agreements

$2 trillion

Annual global economic value lost from poor agreement management

Organizations using manual insight processes

61%

Share of organizations still manually surfacing insights after agreements are signed

Efficiency gains

36%

Average efficiency gains from AI-powered agreement workflows

Cost avoidance

36%

Average cost avoidance from mitigated risks via AI workflows

Cost savings

29%

Average labor cost savings from AI-powered agreement workflows

Accuracy improvement

72%

Organizations seeing accuracy improvements and better compliance in agreements

Revenue uplift from AI in sales

$4.8 million annually

Survey example: 1–2% revenue uplift on 300 renewals at $670k deal size

Previous AI Reports

5 past events · Latest: Mar 25

Same Type 5 events

1. Mar 25

   AI assistant launch

   24h Move

   +0.3%

   Launched AI contract review assistant on IAM platform with reported time savings.

2. Jan 13

   AI eSignature features

   24h Move

   -5.6%

   Announced AI features to simplify legal language and automate agreement preparation.

3. Oct 30

   ChatGPT integration

   24h Move

   +3.8%

   Opened IAM access inside ChatGPT using MCP to manage contracts via agents.

4. Aug 21

   IDC AI leadership

   24h Move

   -0.5%

   Named Leader in IDC AI-enabled CLM assessment highlighting enterprise-grade AI.

5. Jul 17

   AI support partnership

   24h Move

   +0.6%

   Partnered with Coveo AI to enhance customer support and self-service efficiency.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

agentic workflows, end-to-end agreement platforms, regulatory compliance

3 terms

agentic workflows technical

"organizations using agentic workflows within end-to-end agreement platforms, who report nearly 30% higher ROI"

Agentic workflows are sequences of tasks where software 'agents' act on their own to move information, make routine decisions, and trigger actions across computer systems with minimal human hand-holding. For investors, they matter because they can cut labor and processing time much like replacing a row of manual cashiers with self‑serving kiosks, improving margins and speed but also introducing new operational, security and regulatory risks that can affect costs, reliability and compliance.

end-to-end agreement platforms technical

"organizations using agentic workflows within end-to-end agreement platforms, who report nearly 30% higher ROI"

A platform that handles every step of creating, approving, signing, storing and tracking contracts electronically so deals move from draft to final signature without manual handoffs. Think of it as a digital assembly line for agreements that replaces paper, email chains and filing cabinets with a single online workflow. Investors care because these platforms reduce legal and operational risk, speed revenue recognition, cut costs, and often generate steady subscription income that scales as more customers adopt them.

regulatory compliance regulatory

"72% see improvements in agreement accuracy, including clerical error reduction, clause consistency, and regulatory compliance."

Regulatory compliance is the process of ensuring that a company follows all applicable laws, rules, and standards set by government authorities or industry bodies. It is important to investors because it helps prevent legal penalties, financial losses, and reputational damage, contributing to the overall stability and trustworthiness of a business. Think of it as following the rules of a game to play fairly and avoid penalties.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Study finds that AI + Automated Agreement Workflows Drive Nearly 30% Higher ROI

SAN FRANCISCO, April 16, 2026 /PRNewswire/ -- Docusign (NASDAQ: DOCU) today announced a new report with Deloitte — "Capitalizing on AI: How Automated Agreement Workflows Drive ROI" — revealing the next frontier for businesses looking to realize value from AI. The 2026 report finds companies investing in AI-powered agreement management are seeing meaningful returns. This is especially true for organizations using agentic workflows within end-to-end agreement platforms, who report nearly 30% higher ROI than those that do not.

AI is everywhere, but results aren't equal.
The study of more than 1,100 senior leaders across six countries reveals a growing benefit realization gap between organizations using fragmented AI tools and those adopting end-to-end platforms. This research follows the initial discovery by Deloitte that poor agreement management costs $2 trillion in global economic value annually.

The biggest AI gains come from maturity, not just adoption.
It's still early days for many companies. Today, 61% of organizations rely on manual processes to surface insights after agreements are signed. But those using AI to analyze agreements proactively are unlocking new revenue and reducing missed opportunities.

Organizations across industries are reporting measurable ROI from AI-powered agreement workflows, including on average:

• 36% efficiency gains through time savings or cycle time reduction.
• 36% cost avoidance due to mitigated risks.
• 29% cost savings from lower labor costs.
• 72% see improvements in agreement accuracy, including clerical error reduction, clause consistency, and regulatory compliance.

The future opportunity: embedding AI insights from the start
Agreements are the foundation of every business, but they are still managed in silos. About 65% of organizations use four or more tools for their agreements, creating friction and slowing teams down.

The report points to a different model. As Jonathan Jones, managing director in Deloitte Legal Business Services & Contract Lifecycle Management practice, Deloitte Tax LLP, says, "Value comes from moving the Intelligence & Insights phase to the front of the contract management process – using this data to not only help inform future contracts, but also to shape all subsequent steps of the contract management process and transform business processes."

AI-powered agreement workflows are changing how teams work:

• Legal: 37% time reclaimed, with one team scaling from ~100-200 to 1,000 contracts per year.
• Sales: 43% time savings, 29% fewer contracting-related deal delays, and 1–2% revenue uplift, or about $4.8 million annually.*
• Procurement: 33% reduction in vendor spend as improved visibility enabled stronger negotiations and more strategic sourcing decisions.
• Customer Experience: 39% more customers completing the agreement process.
• HR: 45% time savings across agreement management.

The takeaway: In 2026, automation alone isn't enough.
Organizations seeing the highest returns are doing more than just adopting AI and automation – they're connecting agreement data across the full lifecycle. Leaders are moving toward platforms that enable team collaboration and integrate with other systems, elevating agreement management as a core pillar of their broader enterprise strategy.

With platforms like Docusign Intelligent Agreement Management (IAM), organizations can connect agreement data across systems, surface insights earlier, drive action, and ultimately capture real ROI.

To download the full report, visit here.

*Source: survey average of 300 annual renewals and a deal size of $670k.

About Docusign
Docusign brings agreements to life. More than 1.8 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's IAM platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and CLM. Learn more at www.docusign.com.

Media Contact:
Docusign Corporate Communications
media@docusign.com

As used in this document, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of our legal structure. Certain services may not be available to attest clients under the rules and regulations of public accounting

View original content to download multimedia:https://www.prnewswire.com/news-releases/new-deloitte-study-shows-that-ai-powered-agreement-management-is-paying-off-302743916.html

SOURCE Docusign, Inc.

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What did the Docusign Deloitte 2026 study say about ROI for DOCU?

The study found AI-powered agentic agreement workflows deliver nearly 30% higher ROI. According to Docusign, organizations using end-to-end platforms report materially higher returns versus fragmented toolsets.

How much efficiency improvement did the 2026 DOCU report measure?

The report measured an average 36% efficiency gain from time savings and cycle reduction. According to Docusign, this reflects faster agreement lifecycles when AI is embedded early in processes.

What cost savings does the Docusign 2026 report attribute to AI agreement workflows?

The report cites an average 29% reduction in labor costs and 36% cost avoidance from risk mitigation. According to Docusign, those figures reflect aggregated survey responses across industries.

How widespread is manual agreement work per the Docusign Deloitte report?

The study reports 61% of organizations still perform manual post-signature insight work. According to Docusign, this manual reliance limits early AI-driven value and creates missed opportunities.

What operational friction did the 2026 DOCU report identify for agreement teams?

The report notes 65% of organizations use four or more tools for agreements, causing fragmentation and slower cycles. According to Docusign, platform consolidation can reduce friction and surface insights earlier.