Genpact, the global professional services and digital transformation firm, today announced the launch of Genpact Deductions Recovery, an accounts receivable automation solution that uses agentic AI on Microsoft Azure to tackle the perennial challenge of trade deduction management. Unveiled in New York on June 30, 2026, the tool is designed specifically for consumer goods and retail companies, where unresolved billing deductions can erode profit margins by as much as 2% of revenue. By deploying a constellation of AI agents that work together to identify, validate, and resolve deductions, Genpact aims to slash resolution times from weeks to hours and recover millions in lost cash flow.

Trade deductions—short payments or chargebacks taken by retailers against supplier invoices—are a $100 billion problem globally. The manual effort required to pore over claim documentation, cross-check against promotion contracts, and negotiate with trade partners is both slow and error-prone. Genpact Deductions Recovery replaces that manual pipeline with an intelligent, self-orchestrating system built on Microsoft’s agentic AI stack, including Azure AI Agent Service, Azure Document Intelligence, and Azure OpenAI Service. The result is a near-autonomous deduction workflow that learns and improves over time.

The Rising Tide of Agentic AI

Agentic AI marks a significant leap beyond traditional robotic process automation (RPA). Instead of simply following pre-scripted rules, AI agents can perceive their environment, set goals, reason about the best course of action, and take steps to achieve those goals—escalating only when human judgment is truly required. In the context of accounts receivable, this means an agent can not only extract data from a retailer’s deduction claim but also interpret that data against promotional calendars, shipping records, and contract terms, then decide whether to accept, dispute, or negotiate the claim. Multiple agents can coordinate, each specializing in a subtask, such as document classification, data extraction, validation, and response generation.

Genpact’s solution employs exactly this multi-agent approach. A monitoring agent continuously scans for new deduction notifications from customers’ ERP systems. When a claim arrives, a classification agent determines the deduction type—price protection, trade promotion, compliance fine, or short pay. A document intelligence agent then extracts the relevant details from supporting documents, which can range from retailer-issued debit memos to complex promotional calendars in PDF, Excel, or scanned image formats. A validation agent compares those details against contractual obligations and historical data, flagging discrepancies and calculating the maximum recoverable amount. Finally, a resolution agent drafts a response—either an acceptance, a partial repayment proposal, or a dispute letter—and, for high-confidence cases, can even submit the response directly to the retailer’s portal. Throughout, a human controller has full visibility and can intervene at any stage, but the design goal is to keep manual touches to under 10% of cases.

Built on Microsoft’s Azure AI Stack

The technical foundation of Genpact Deductions Recovery is as important as its business logic. Genpact chose Azure as the cloud platform of record, leveraging several services that have become central to Microsoft’s AI strategy:

  • Azure AI Agent Service (preview) serves as the orchestration engine. It allows developers to create, deploy, and manage AI agents with defined personalities, memory, and tool-calling capabilities. Genpact’s agents use this framework to maintain context across interactions, call internal APIs (such as ERP connectors), and chain reasoning steps.
  • Azure Document Intelligence (formerly Azure Form Recognizer) provides the document parsing backbone. With pre-built and custom models, it can extract key-value pairs, table data, and line items from the varied, often unstructured documents that retailers submit. The service’s latest version includes a query model that allows agents to ask plain-English questions of a document, making data extraction more robust.
  • Azure OpenAI Service powers the natural language reasoning needed to interpret ambiguous deduction notes, draft coherent correspondence, and summarize case histories for human reviewers. Genpact uses GPT-4o fine-tuned on its own deduction resolution data, ensuring responses align with company-specific policies and industry terminology.
  • Azure Functions and Logic Apps tie the workflow together, triggering agent actions when new files arrive in SharePoint or OneDrive, and updating the ERP system of record—often Microsoft Dynamics 365 Finance—in near real-time.

Katie Fitzsimmons, Genpact’s global head of finance and accounting solutions, said, “We’ve been reimagining finance processes with AI for years, but agentic AI is a step-change. Deductions Recovery isn’t a bot that fills out a form—it’s a digital team member that understands the business context and takes ownership of a complete process from start to finish.”

Real-World Results and Early Adopters

Although the general launch is tagged for June 2026, Genpact has been running the tool with select consumer packaged goods (CPG) clients for several months. In one pilot with a North American food manufacturer handling over 50,000 deduction claims per year, the solution reportedly reduced the average time to resolve a claim from 18 days to 4 hours, while increasing the recovery rate by 12 percentage points. The manufacturer estimates it will claw back an additional $8 million annually in previously written-off deductions. Other early adopters include a global beverage company and a personal care products distributor, both of which cited the tool’s ability to handle the notoriously complex promotional calendars used by large retailers like Walmart and Target.

These outcomes highlight a compelling ROI story: the cost of deploying Genpact’s agentic solution is a fraction of the value it recovers, and it scales effortlessly during high-volume periods, such as the months following holiday promotions. The tool is offered both as a managed service, where Genpact staff oversee the AI agents, and as a licensed software-as-a-service (SaaS) model that an enterprise’s own shared services team can run.

Microsoft’s Broader Agentic AI Vision

Genpact’s announcement lands at a time when Microsoft is aggressively pitching agentic AI as the next pillar of its cloud ecosystem. At Build 2026, the company unveiled new capabilities in Copilot Studio that let organizations build their own autonomous agents, and Dynamics 365 now ships with preconfigured agents for sales, service, and supply chain. Azure AI Agent Service, still in preview, is the developer-friendly route to deploying agents that can use any Large Language Model, not just OpenAI’s. By making these components available, Microsoft is betting that partners and customers will build domain-specific agents that tackle messy, document-heavy processes exactly like deduction recovery.

For Windows and Microsoft 365 users, the implications are indirect but significant. As agentic AI permeates enterprise workflows, the Copilot icon in Windows 11 and Edge will increasingly surface not just chat but proactive suggestions from agents working in the background. A finance manager might receive a Copilot notification on her desktop: “Agent Deductions completed 23 resolution drafts for your review,” with one-click actions to approve or override. The same Azure AI services that power Genpact’s tool are also available to any organization building its own agents with Visual Studio Code, Copilot Studio, or GitHub’s agent framework. In effect, every Windows PC becomes a window into an intelligent, automated business process.

Challenges and the Road Ahead

No cutting-edge AI deployment is without hurdles. Genpact acknowledges that data quality remains the single biggest determinant of success. If a client’s ERP data is inconsistent or contract terms are not digitized, the agents struggle to reach high-confidence decisions. To mitigate this, Genpact offers a data readiness assessment and cleanup service as part of onboarding. Moreover, while the tool can handle the most common deduction types—short pays, compliance fines, and promotional chargebacks—truly novel disputes still require human expertise. Genpact’s roadmap includes adding more sophisticated negotiation capabilities, such as the ability to engage in multi-turn email exchanges with retailer analysts, while keeping a human in the loop for final sign-off.

Another concern is governance. AI agents that can autonomously approve payments or send legally binding correspondence demand robust security, auditing, and explainability. Genpact says it has baked in Azure Policy and Microsoft Purview controls, so every agent action is logged and can be traced back to the triggering data and model decision. The system also respects role-based access, ensuring that only authorized personnel can set spending limits or override agent decisions.

Conclusion

Genpact Deductions Recovery is a bellwether for how agentic AI will reshape back-office finance. By combining Azure’s latest AI services with deep domain expertise in consumer goods, Genpact has transformed a historically manual, friction-filled process into a near-autonomous cash recovery engine. For enterprises in the consumer products sector, the value proposition is clear: faster resolution, higher recoveries, and a finance team that can focus on strategic analysis rather than document triage. For Microsoft, the solution serves as a showcase of what its agentic AI platform can achieve when paired with industry-specific knowledge—and a hint of the agent-driven interfaces that will soon appear on Windows desktops everywhere.