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AI becomes finance's decision engine, with governance and data quality central to value creation

KPMG's report highlights a surge in AI adoption across finance, with 75% of organizations using it by 2026. The study surveyed 1,013 finance leaders across 20 countries and 13 sectors.

Published 5 August 2026 · ID 2026-08-05-ai-becomes-finance-s-decision-engine-with-governance-and-data-quality-central-to

Artificial intelligence is increasingly emerging as a decision-making engine rather than merely a tool for cutting costs, according to KPMG. The report highlights significant gains in areas such as forecasting, decision-making, and responsiveness. Organizations are leveraging AI not just to reduce expenses but to drive strategic outcomes. This shift underscores a broader transformation in how financial institutions approach technology and innovation.

The KPMG report is based on a survey of 1,013 senior finance leaders across 20 countries and 13 sectors. The findings indicate that active AI use in finance has more than doubled in two years, rising from 30% in 2024 to 75% in 2026. This rapid adoption reflects a growing recognition of AI's potential to enhance decision-making processes and operational efficiency across the financial sector.

The report reveals that AI adoption has surged, with 75% of organizations using it by 2026. This marks a significant increase from 30% in 2024, demonstrating a rapid acceleration in AI integration within finance. The study highlights the importance of data quality and governance frameworks in ensuring the effective deployment of AI technologies. These factors are critical in unlocking the full value of AI in financial decision-making.

In India, regulators such as TRAI are closely monitoring the integration of AI in finance. The Indian market is witnessing a growing emphasis on governance and data quality as key enablers of AI's success. Indian institutions are increasingly adopting AI-driven solutions, aligning with global trends while addressing local regulatory requirements. This focus on governance is essential for ensuring the responsible and effective use of AI in the Indian financial sector.

The implications of AI's growing role in finance are far-reaching. As organizations continue to adopt AI, the focus on governance and data quality will become even more critical. These factors will shape the future of AI in finance, influencing everything from regulatory compliance to competitive advantage. The KPMG report underscores the importance of these considerations in ensuring that AI delivers sustainable value across the financial industry.

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