AI Agents Transform Business Operations
Artificial Intelligence Agents Expand Into Commerce, Digital Payments, and Supply Chains
Anonymous
Key Points
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Genpact reported gross margin of 36.5%, marking its 13th consecutive quarter of expansion, while outcome-based revenue—which is not tied to headcount—exceeded half of total revenue for the first time.
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Genpact said bookings for its “agentic operations” offerings were on track to exceed $1 billion in total contract value during the year.
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Autonomous grocery agents could account for product expiration dates and dietary restrictions when checking local inventory and building a customized cart, rather than merely reordering items on a fixed schedule.
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India’s proposed agent registry would operate under NPCI’s planned Unified Agentic Protocol and could eventually cover cards and bill payments in addition to UPI transactions.
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At a food and agriculture purchasing seminar, 48% of attendees said their companies were experimenting with AI through pilots without a firm commitment; only 18% reported AI in live workflows and 10% said it was embedded in daily work.
Artificial intelligence agents are moving from laboratory experiments into real business workflows across retail, payments, and supply chains, though companies emphasize that human oversight remains critical. Genpact, a major business-process outsourcer, defied fears that AI would devastate its workforce by posting revenue growth, expanding margins for 13 straight quarters, and raising its full-year outlook even as headcount declined—signaling that AI-driven services can create new revenue streams rather than simply replace jobs.
The shift reflects a broader pattern: AI agents are best suited for repetitive, rule-based tasks where data is clean and outcomes can be measured. India's payments regulator is building a registry to monitor AI agents making purchases through its national payments system, starting with low-value groceries. In food and agriculture, companies are experimenting with AI to analyze orders and inventory faster, but adoption remains patchy because many operations still rely on paper records and manual labor.
Genpact Shows AI Drives New Revenue, Not Just Cuts
Genpact reported a gross margin of 36.5%, the 13th consecutive quarter of expansion, while its outcome-based revenue—fees tied to business results rather than headcount—surpassed 50% of total revenue for the first time. Genpact disclosed that bookings for its "agentic operations" offerings were on track to exceed $1 billion in total contract value during the year, suggesting clients view AI agents as tools to handle volume and complexity, not eliminate staff.
The company's performance pushes back against a common worry: that AI would hollow out business-process work by automating jobs away. Instead, Genpact is selling AI-powered services that handle routine decisions and paperwork, freeing human workers to focus on judgment calls and customer issues that still require a person's judgment.
Autonomous Grocery Agents Could Transform Household Shopping
In retail, AI agents are emerging that can monitor what a household consumes, compare prices across local stores, check expiration dates, and place orders without the shopper lifting a finger. Unlike simple auto-replenishment systems that reorder the same items on a fixed schedule, these agents can account for dietary restrictions, seasonal variations, and special offers to customize a shopping cart.
The technology is still largely experimental, but companies see a clear use case: routine grocery purchases are repetitive, price-sensitive, and generate high margins if volumes climb. Shoppers who trust an agent to handle milk, eggs, and staples could free up time for discretionary spending and experiential retail.
India Develops Registry for Payment-Processing Agents
India's National Payments Corporation (NPCI) is reportedly developing a registry to verify and monitor AI agents that conduct transactions through the Unified Payments Interface (UPI), the country's dominant digital payments rail. The registry would operate under an "Unified Agentic Protocol" and initially focus on low-value purchases such as groceries, bill payments, and subscription renewals before potentially expanding to cards and more complex transactions.
The move reflects a policy trade-off: regulators want to unlock productivity gains from autonomous agents but also need visibility into who is transacting and on whose behalf. Early limits on transaction size and category reduce fraud risk while the system matures.
Food Suppliers Are Piloting AI, But Adoption Remains Slow
In food and agriculture supply chains, companies are testing AI to analyze production reports, inventory data, and customer orders far faster than human teams can. However, adoption is uneven: at a recent purchasing seminar, only 18% of attendees reported AI in live workflows, 10% said it was embedded in daily work, and 48% were still in pilot phase with no firm commitment.
The gap exists because many supply-chain operations are still heavily manual or paper-based, leaving AI systems without clean data to work from. Experts stress that AI agents in supply chains need constant human oversight—a supply manager must still review an agent's order recommendation before it ships, since a mistake can disrupt production across multiple customers.
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