Client Value Partner

Celonis and Valence launch AI deductions Manager for CPG finance teams. * home * Celonis and Valence launch AI deductions Manager for CPG finance teams. Celonis and Valence Intelligence have jointly launched the Celonis Deductions and Disputes Manager, an AI-driven application designed to help enterprise finance teams handle the deduction management process with greater speed and less manual intervention. The product is available now through the Celonis Platform Apps Programme. Deduction management sits at a costly intersection of trade finance and operational complexity. In the consumer packaged goods (CPG) sector, deductions claimed by retailers and logistics carriers can represent between 5% and 15% of gross sales, according to figures cited in the announcement. Reconciling those claims typically requires finance staff to manually chase documentation across retailer portals, carrier websites and internal ERP systems, with disputes frequently taking weeks or months to close. What the product does. The application uses AI agents to automate the aggregation and interpretation of deduction data across fragmented sources, including unstructured documents such as remittance advices and proofs of delivery. It produces a unified, real-time view of a company's deductions position and generates guided recommendations for claims processing, including one-click options for submitting disputes and communicating resolutions to counterparties. Liam Mawe, global VP for AI and Industries at Celonis, said the tool gives AI the operational context it needs to handle workflows that have historically resisted automation. "The Deductions and Disputes Manager handles the messy operational complexity these teams face daily and gives AI the context it needs to successfully automate these workflows," he said. Kevin Cunningham, chief executive of Valence Intelligence, described Valence's contribution as an agentic data layer capable of turning unstructured PDF documents into clean, structured data fed into the Celonis platform. The launch is part of the broader Celonis Platform Apps Programme, which provides pre-built, domain-specific solutions developed by certified partners on top of the Celonis process intelligence infrastructure. Market context. Deductions and disputes automation is an under-served but commercially material niche within the broader enterprise finance operations market. Most accounts-receivable automation tools focus on invoice matching and payment reconciliation; the specific challenge of retailer deductions, with their retailer-specific coding rules and carrier-dependent documentation requirements, has remained largely manual at many large CPG manufacturers. The competitive landscape includes specialist deductions management vendors, some of which have operated in the segment for a decade or more, as well as broader order-to-cash automation platforms expanding their feature sets. The Celonis and Valence product competes by combining Celonis's process-mining and digital-twin infrastructure, which gives it visibility across the full enterprise process graph, with Valence's purpose-built data ingestion layer for retailer and carrier portals. For enterprise buyers, the relevant evaluation criteria are the breadth of retailer and carrier integrations, the accuracy of AI-driven reason coding and validation, and the degree to which the tool can be configured to retailer-specific dispute rules without custom development. The announcement does not provide benchmark data on recovery rates or accuracy metrics, which are the figures that procurement and finance transformation teams will want before committing to deployment. The broader trend running underneath this launch is the move from robotic process automation, which scripted repetitive tasks, to agentic AI, which interprets unstructured content and takes multi-step actions. That shift is reshaping the enterprise finance software market and attracting investment from both established platform vendors and specialist startups. Celonis, which is positioned as a process intelligence layer rather than a point solution, is using the partner programme to extend into adjacent verticals without building every domain application in-house, a model that also reduces its own development risk.

Global enterprises using Celonis to realise $11.3 billion in value. Grant Titmus, Journalist | Published 23 July 2026 Danish healthcare company Novo Nordisk in partnership with Celonis, the global leader in Process Intelligence, is speeding up clinical development with AI agents to reduce drug time-to-market by a full year. Stephanie Bova, Corporate Vice President and Digital Transformation Officer, Research and Development at Novo Nordisk, said the barrier to speeding up time-to market is a maze of domains and processes, all tangled up in constantly changing regulations. The result: end-to-end visibility into the clinical development process is impossible and life-changing innovation struggles to make it through. That lack of visibility changed the moment Novo Nordisk saw their operations through a digital twin built by Celonis. "We realised we could possibly cut 12 months or more from our time-to-market by using our operational data strategically," said Bova. The result for Novo Nodisk is creating tens of millions in potential revenue impact and getting life-changing treatments to patients faster. Novo Nordisk along with a number of Celonis customers including Molex, Hitachi Energy, Cosentino, Deutsche Telekom AG, Florida Crystals, Mondelez, State of Oklahoma, Standard Bank and Uniper have realised more than $11.3 billion in value. "Scaling Enterprise AI successfully requires understanding your operational context, strategically deploying AI agents, and seamlessly integrating AI with your existing workflows," said Carsten Thoma, Celonis President. "Celonis does all three, helping customers deploy AI that they can trust to reason, decide, and act autonomously for the business. Together, we're shifting AI from a productivity hack to an enterprise solution that generates tangible value." Thoma said that as Celonis customers embark on their AI industrialisation journey, they're using the Celonis Platform to deploy intelligent agents across their most critical processes - transforming and continuously improving their business operations. Beyond our unique process-centric technology, he said, what sets Celonis apart is the meaningful, repeatable value our customers generate with this technology. Hitachi Energy, for example, is deploying AI agents at scale, driving unprecedented process improvement across its entire business and delivering millions in value within months. "If you don't have a digital twin of your operation, complete with business context, it's almost impossible to understand where to deploy AI and automation workflows," said Novo Nordisk's Bova. "We want to be as fast as we can in taking drugs from First-In-Human to approval, and we see the Celonis Platform as a very strategic, smart way to get there." The Celonis Platform enables customers to create their unique operational context that helps identify the highest-impact opportunities for AI deployment and intelligently orchestrate agents, humans, and systems to work seamlessly together. Its advanced capabilities include: * Celonis Context Model: Process-centric, system-agnostic, and real-time digital twin that translates business operations into a language AI understands. It combines process data, business knowledge, process intelligence, and decision intelligence (powered by the recent Ikigai Labs acquisition) to deliver the context Enterprise AI needs to work effectively and efficiently. * Celonis Data Core: High-performance data infrastructure that delivers rapid query performance across billions of records and is up to 20 times more powerful than alternatives. Customers are seeing load times cut in half, a 75% reduction in runtime variance, and a 14x reduction in processing time. * Zero-copy integrations: Connections for Amazon Web Services (AWS), Databricks, and Microsoft Fabric eliminate data silos. * Celonis Agent Toolkit: Feeds operational intelligence from the Context Model via the Model Context Protocol into agents built and run on leading AI platforms, such as AWS, Databricks, IBM, Microsoft, and Oracle. * Industry Suites: Pre-packaged accelerators deliver "ready-to-run" solutions for Manufacturing, Automotive, Life Sciences & Pharma, and Banking & Insurance, significantly accelerating time-to-value.

Tammi Tan has been appointed Global Marketing Lead at Celonis following the company's acquisition of AI startup Ikigai, where she previously served as Head of Demand Generation. The appointment reflects a growing trend in enterprise software where acquisitions are used to accelerate AI innovation whilst integrating experienced leadership. Marketing leaders play a crucial role during acquisitions, helping align messaging, integrate go-to-market teams and communicate combined solution value to customers and partners. Tan's experience building demand generation in a fast-growing AI startup positions her to support Celonis' next growth phase. Her background in scaling marketing operations and developing pipeline strategies aligns with the increasing emphasis on data-driven marketing within enterprise technology companies. The move highlights how marketing leaders from high-growth AI startups are taking on broader strategic responsibilities as these companies mature or join larger enterprise platforms.