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WNS (Holdings) Ltd is calling for enterprises to rethink their workflows and operating models as they scale artificial intelligence agents.
Nitin Anand, a leader at the firm, outlines that unlocking the true value of AI requires the right combination of high-quality data, robust governance frameworks, and an adaptive operating model. According to Anand, these factors are essential for businesses to fully realize the potential of AI in driving intelligence and efficiency across the enterprise landscape.
WNS's latest guidance on reengineering operations for AI adoption aligns with recent developments in sectors where AI is rapidly advancing, notably the transformation of energy operations highlighted in the firm's showcase of AI advancements reshaping energy operations. These ambitions also reflect underlying challenges identified by WNS, including the ongoing finance paradox driven by data fragmentation, underscoring the necessity for robust data strategies as enterprises pursue digital transformation at scale.