Workday Global Procurement unlocks $21M in cost avoidance and value creation.

The Workday Global Procurement Office handles all aspects of procurement for Workday. Their strategic sourcing, negotiating, and  acquisition of goods and services ensures that Workday continues to power businesses and people across the globe. The Global Procurement Office manages an annual addressable spend of $2B and has scaled to  over 45,000 total supplier contracts (up from ~30,000 prior to Evisort). Each year, they receive over 10,000 requisitions and 2,000 unique  business requesters.They manage relationships with about 4,000 active suppliers and process about 6,000 new contracts annually.

The need for CLM that simplifies.

Richard Susanto, Senior Principal Procurement Technology Manager, shares that “before Evisort, we were losing thousands of hours to manual searches and data cleanup that simply wouldn’t stick.” With 30,000 total supplier contracts and approximately 6,000 new contracts added annually, the Workday Global Procurement Office was drowning in disorganized and often incorrect information. Locating a given contract took 30 minutes on average. Once located, two hours’ additional effort was needed to extract necessary insights. But there was no guarantee that information was accurate.

Disjointed processes involving handoffs across teams and manual interventions left contract records inconsistent and data untrustworthy. Important information, including end date and auto-renewal details, was often unclear or incorrect. The team spent too much time finding and managing documents and not enough time managing risk or optimizing spend. Not only was contract visibility questionable at best, confidence in data accuracy was at an all-time low. An intelligent contract lifecycle management (CLM) solution was sorely needed.

Workday, meet Evisort AI. 

The Procurement Technology Team analyzed current capabilities, researched the market, and conducted a proof of concept to find the right solution. They recommended Evisort, an AI-native document intelligence platform, for its superior contract search, data extraction, and analytics capabilities. Taylor Higgins, Procurement Technology Manager, and her internal team built a custom integration using Workday Studio. This allowed for easy movement of data and contracts between their repository and Evisort.

Benefits immediately followed, and bigger wins were on the horizon. Following the Workday acquisition of Evisort, Workday CLM, powered by Evisort AI, was born. A highly integrated, AI-native CLM solution, it combined the unified platform of Workday with the automation and intelligence of Evisort AI. This robust solution provided a remedy for the Global Procurement Office’s major pain points.

Streamlined contract workflows, from intake to storage. 

Intuitive interface and advanced search capabilities, including AI-driven retrieval, made it possible to effortlessly find and delve into contracts. Fast, direct access to contract metadata and clauses gave the team increased visibility into contract data. Advanced filtering, sorting, and seamless navigation features reduced time spent on contract-related tasks and eliminated the risk of mistakes like unintended auto-renewals. The Global Procurement Team was able to shave 25 minutes off the time needed to find a contract. AI-driven capabilities to surface key clauses and access metadata alongside trends reduced the time to gain necessary information by 75%. The team could now process 40% more contracts, 65% faster. Finally, focus could shift from sifting through contracts to generating ROI.

4 Major pain points, remedied by Workday CLM.

Do more with data, and drive outcomes. 

In the past three years since adopting Workday CLM, the Global Procurement Team has unlocked $21M in cost avoidance and value creation—a 77× ROI—thanks to improved negotiation, better visibility into commercial terms, reduced leakage, and AI-accelerated insights. These improvements have allowed them to scale to managing 45,000 contracts with clean and reliable data. Workday CLM allows the Global Procurement Team to do more with their data. Post-signature, when most systems go silent, Workday CLM brings contracts to life with Ask AI. Using natural language questions, Ask AI delivers instant, contextual answers and proactively surfaces rebates, volume discounts, and other major savings.

Incoming: fully integrated source-to-pay. 

Still to come is the Workday CLM Contract Negotiation Agent, which will help draft and redline contracts in a fraction of the time it takes today. Using an organization’s approved contract language, the Agent will generate better and more compliant terms so that teams can negotiate with confidence and in record time. 

Another exciting integration is on the horizon. Higgins expressed enthusiasm for the upcoming integration of Workday CLM into the full Workday Source-to-Pay process, joining sourcing (Workday Strategic Sourcing), contract management, and procurement (Workday Procurement) into a single, connected experience. This will eliminate system hand-offs, accelerate supplier selection, support smart negotiation, drive contract execution, and identify savings and renewal opportunities.

Unified, AI-driven contracting—a key to ROI. 

With Workday CLM, powered by Evisort AI, contracting becomes quick, compliant, and intelligent. Self-service workflows and integrated e-signature capabilities have increased the efficiency of the entire contracting process. AI-powered red-lining, standardized clause libraries, and smart risk identification eliminate the need for reading thousands of pages of contracts. Configurable dashboards help uncover critical insights and smart savings so that procurement teams save time and money. 

Before Workday CLM, the Workday Global Procurement Office struggled with a disjointed and disorganized CLM process. Now, they no longer manage documents or fish for information; instead, they’re focused on high-value procurement work: driving stronger renewals, reducing leakage, protecting Workday in supplier agreements, and making faster, data-backed sourcing decisions.