Client:McCormick & Company
Region:Global
Industry:Manufacturing
McCormick advances from automation to agentic AI—unlocking speed, scale, and supplier impact
8,000
hours saved
96%
accuracy achieved
15+
agentic use cases planned
Client Overview
McCormick & Company (McCormick) is a global leader in flavor with a strong foundation in automation across its business. But as demand for faster, more responsive service grew across supply chain and shared services, the company reached a turning point. Many high-value processes—especially those driven by emails, documents, and human judgment—remained manual, requiring teams to interpret requests, gather information across systems, and respond. This slowed response times and impacted vendor collaboration. In a business where supplier speed directly affects how quickly products reach shelves, McCormick needed to move beyond task automation to intelligent workflows that could understand requests, act across systems, and scale with control.
Building intelligent workflows that understand, decide, and act
McCormick extended its automation foundation into agentic AI—using the UiPath Platform™ to build workflows that can understand intent, interpret unstructured data, and take action across systems.
The shift started with a clear focus: solve real business problems that can scale. One of the first agentic use cases was a procure-to-pay service desk agent designed to handle common inquiries like invoice and purchase order status. Instead of relying on manual triage, the agent reads incoming requests, extracts intent, gathers data across systems, and generates responses in minutes.
That same approach is now expanding across other workflows. In order-to-cash, McCormick automated order entry from emails, PDFs, and spreadsheets into SAP—proving the model in Latin America before preparing it for broader rollout. The team also reuses AI prompts across similar processes, reducing development time and accelerating deployment.
UiPath Document Understanding™ and UiPath Communications Mining™ play a key role in interpreting documents and messages, while robots execute actions across systems. Human oversight remains embedded where needed, ensuring control and compliance across sensitive workflows.
Just as important, McCormick is building for orchestration—not isolated use cases. The team is exploring UiPath Maestro™ and process mining to connect workflows end-to-end, creating visibility and coordination across the enterprise.
The biggest benefit wasn’t just time saved—it was faster, more relevant responses that strengthened vendor relationships.
Outcomes:
Faster vendor response times: improving speed and quality of replies, strengthening supplier relationships
Scalable automation model: reusing AI prompts and patterns across processes, regions, and functions
Enterprise-wide momentum: building trust, governance, and adoption for agentic AI at scale
Additional resources:
Discover how AI-powered automation is improving speed and accuracy in food and supply chain operations
See how another global consumer goods company scaled automation and agentic AI across supply chain operations
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