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Survey Shows Strong AI ROI but Leaders Lack Confidence in Decision Explainability

A FICO survey of senior AI leaders finds most see returns exceeding expectations, yet few feel able to clearly explain AI-driven decisions to regulators or customers.

FICO’s new "State of Responsible AI 2026" survey reveals that a large majority of senior AI professionals believe their investments are delivering the promised financial returns, with 85.1% reporting ROI at or above initial expectations. Despite this success, AI currently powers just 28.5% of decisions that directly affect customers, and only 5.2% feel highly capable of justifying those decisions to regulators or end users.

Executives point to difficulties in articulating why a particular model output was chosen, especially when data sources and model architecture must be traced for credit or fraud cases. While 82.8% consider their firms ready for forthcoming regulations, responsible-AI practices rank lowest among operational standards. The survey notes that most companies rely on disparate platforms, hindering consistent governance, and that a shared deployment platform is seen as a major ROI opportunity, though only 8.2% have fully implemented one. Early exploration of agentic AI is common, but security and data-integration concerns remain significant barriers.

Why it matters

Understanding AI ROI versus explainability gaps helps businesses and regulators gauge risks of automated decisions affecting consumers.

In this story

AI ROIdecision explainabilityregulatory complianceresponsible AIagentic AIshared platformdata provenancemodel transparency
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