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News » Genpact, MindBridge team up on AI audit and risk analytics

Genpact, MindBridge team up on AI audit and risk analytics

Genpact, MindBridge team up on AI audit and risk analytics

NEW YORK, UNITED STATES, and OTTAWA, CANADA — Genpact, an advanced technology solutions company, has entered into a strategic partnership with MindBridge, a provider of artificial intelligence (AI)-powered financial intelligence.

The move will integrate MindBridge’s financial analytics platform into Genpact’s enterprise risk consulting (ERC) offerings to enhance risk detection and deliver more thorough, data-driven outcomes for clients worldwide.

Stephen DeWitt, Chief Executive Officer (CEO) of MindBridge, notes, “By joining forces, we can bring more powerful transformation to finance and accounting organizations that are looking to deepen their risk insight, enhance assurance, and unlock greater value from their financial data.”​

Enhancing enterprise risk consulting with AI

Genpact plans to improve its ERC services, which use AI from MindBridge to break down financial transactions in real time and identify errors, anomalies, and potential fraud in financial statements. 

This integration allows Genpact to move beyond traditional sampling approaches, offering clients a comprehensive, in-depth analysis of their financial health.

For global enterprises that rely on Genpact’s operational capabilities, this partnership significantly strengthens quality and risk analysis, thereby tightening internal controls and compliance.

MindBridge brings a platform recognized worldwide by CFOs, auditors, and regulators for its transparent and explainable AI. The technology delivers continuous insights across enterprise systems of record, complementing Genpact’s robust business intelligence and operational capacity.

As Genpact serves over 800 global clients with a team of more than 83,000 trained professionals in data and analytics, embedding MindBridge’s capabilities allows the firm to scale sophisticated financial oversight. 

As DeWitt notes, “As a market leader in bringing AI-driven transformation to finance and operations, Genpact is the ideal partner to help scale the impact of MindBridge’s AI across global enterprises.”

Scaling financial analytics via LLMs and GPUs

Concurrent with the partnership announcement, MindBridge has expanded its own product capabilities to support larger-scale deployments, making the technology more accessible for a firm of Genpact’s magnitude. 

These improvements consist of new, large-language model-driven data ingestion and performance accelerated by a GPU, which allows faster and more scalable financial analysis. 

Furthermore, MindBridge’s tactical connectivity to key data processing applications such as Databricks, Microsoft Fabric, and Snowflake ensures the AI can process data within an enterprise system of record without issues. 

This gives Genpact a fragile technological base, as witnessed by its recorded revenue of $5.1 billion in over 35 countries, which makes it well-suited to its diversified international clients.

Such a partnership is MindBridge’s broader approach to embedding itself in ecosystems by collaborating with other major advisory and managed services firms. 

MindBridge can make its AI a regular part of current enterprise risk management by integrating it into its partners’ digital audit and assurance services, such as Genpact’s. 

The two firms are working towards achieving a new standard in the convergence of technology and consulting to address financial risk at scale.

“By combining MindBridge’s innovative platform with Genpact’s risk domain expertise and delivery scale, we enhance our ability to provide clients with full population risk scoring, data-driven exception testing and anomaly and fraud detection, AI-led internal audits, and continuous controls monitoring,” said Vivek Saxena, Senior Vice President (SVP), Finance & Risk Service Line Leader at Genpact.

Genpact ranked #10 in the OA500 2025, an objective index of the world’s top 500 outsourcing companies. The 2026 edition of the OA500 is expected to be released in March. (Read the OA500 2026 methodology paper here.)

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