The AI gap in BFSI isn't a technology problem.\n
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Gartner research shows that 57% of banking technology leaders are prioritising the foundations needed to scale AI, while 54% are focused on developing an AI strategy. Yet investment alone does not guarantee results. Most organisations no longer struggle to identify AI opportunities. The challenge is operationalising them.<\/p>

The gap is not one of ambition but of delivery.\u00a0<\/p>

Discover why most AI pilots never reach production, and what the organisations closing that gap are doing differently. Essential reading for every leader carrying board accountability for AI and agentic AI delivery at scale.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\r\n \r\n \r\n What\u2019s inside?<\/span> <\/strong>\r\n

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• Why AI pilots fail to scale in BFSI<\/span> \u2013 uncovering the structural barriers that prevent promising AI initiatives from reaching production and delivering business value.<\/li>
• The four foundations of production-ready AI<\/span> \u2013 a practical framework covering data, governance, operational integration and human expertise.<\/li>
• How to build compliance into AI from day one<\/span> \u2013 lessons on aligning with regulations such as DORA, the EU AI Act and model risk management requirements without slowing innovation.<\/li>
• A proven roadmap for moving from ambition to action<\/span> \u2013 guidance on assessing agentic AI maturity and readiness, scaling AI in stages, maintaining assurance and choosing the right delivery partner.<\/li><\/ul><\/span> <\/div>\r\n <\/div>\r\n\r\n \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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