Indian companies are increasingly generating business value and revenue from artificial intelligence, but their preparedness to manage the associated risks is not keeping pace. The development highlights a widening gap between AI adoption and AI governance, as organisations accelerate the use of generative and predictive AI across business functions while risk frameworks, controls and employee readiness continue to develop.
For companies, the challenge is no longer simply deciding whether to adopt AI, but establishing the controls needed to use it safely at scale. Key priorities include AI governance, data protection, cybersecurity, model risk management, transparency and employee awareness. The gap is particularly important for financial institutions, where AI can influence credit, fraud detection, customer decisions and other sensitive processes. As AI adoption grows, organisations that connect innovation with robust risk oversight will be better positioned to capture its benefits while limiting operational, regulatory and reputational exposure.
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