Paytm is expanding beyond digital payments with Paytm Intelligence (Pi), a new enterprise AI service that deploys workplace AI agents for banks and insurers in India and the UAE. Built on a financial services model developed over two years, Pi automates sales, customer service and operations using transaction data.

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Paytm Launches Enterprise AI Service to Diversify Revenue Streams

Paytm is making a strategic pivot beyond payments with the launch of Paytm Intelligence, or Pi, an enterprise AI agent service targeting financial institutions in India and the UAE

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. This marks a significant departure from One97 Communications' core business of handling digital payments for consumers and businesses

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. The company's shares surged 5.2% in Mumbai following the announcement, with the stock gaining over 20% in the past month and more than doubling over the past two years

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How Workplace AI Agents Will Transform Financial Operations

The new AI agent service can deploy workplace AI agents across functions such as sales, customer service and operations, initially targeting banks, smaller lenders, insurers and other financial institutions

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. According to Paytm's website, Pi offers three main products: a sales and marketing agent, a customer service automation agent, and an operations agent that can automate lead generation, customer onboarding, collections, loan processing, compliance checks, refunds and record reconciliation

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. Paytm already operates more than 100 voice and chat AI agents across its businesses

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Financial Services Model Powers AI for Financial Institutions

At the core of Pi is a financial services model that Paytm has been developing for about two years

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. The model, built on massive numerical data sets accrued through years of processing financial transactions and analyzing customer behavior, is capable of predicting fraud detection, credit-worthiness and the credibility of insurance claims

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. Vijay Shekhar Sharma revealed during the Q1 FY27 earnings call that the company had built a low-cost AI model optimized with 4 billion parameters, featuring low latency and using fewer tokens than popular models

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Enterprise AI Push Addresses Higher-Margin Revenue Needs

This enterprise AI push could open a higher-margin revenue stream as competition limits expansion opportunities in digital payments

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. Payments businesses face pressure to build higher-margin revenue streams as competition intensifies and return on basic services remains thin

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. Sharma emphasized that AI has already begun generating revenue, stating some AI products have started generating "a few lakhs" in revenue, with plans to scale AI revenue into a meaningful business within less than a year

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Pivot Beyond Payments Reflects Fintech Maturation

For Paytm, Pi marks the first big business pivot that brings together payments intelligence, behavioral models, voice technologies and workflow automation

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. The AI-driven product portfolio can assess customer needs, run business campaigns, help win over new customers and cross-sell to existing clients

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. The first wave of fintechs in India are maturing from rapid customer growth into finding new ways of making money through their technology and data

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Market Projections Show Massive Agentic Commerce Opportunity

Bloomberg Intelligence analyst Diksha Gera noted that AI adoption will drive sharp performance divergence across fintechs, with leaders using proprietary data and model feedback loops to sharpen their edge

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. The bigger unlock will come from embedded models and automation that cuts cost-to-serve and enables new AI-driven businesses like agentic commerce, projected to reach $1.7 trillion by 2030

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. Companies that lag could face margin pressure as AI-native rivals reset benchmarks for speed, accuracy and personalization

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Strong Financial Performance Supports AI Expansion

Paytm reported record profitability in Q1 FY27, with revenue rising 28% year-on-year and 8% sequentially to Rs 2,448 crore

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. Quarterly EBITDA reached an all-time high of Rs 203 crore, surging 182% year-on-year and 54% quarter-on-quarter, supported by broad-based growth across payments and financial services businesses and AI-led operating leverage

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. The company plans to hire about 4,000 people by early next year as part of its move to expand its merchant network and AI-driven offerings

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