The survey reveals key forces driving AI investment, cross-functional alignment, operational readiness, risk oversight, and platform innovation across the enterprise
Highlights:
- More than 56% of CAOs and CAIOs define Responsible AI standards as a leading contributor to increasing ROI, outpacing technologies like GenAI (40%).
- Over 75% of those surveyed believe collaboration between business and IT leaders and a shared AI platform could drive ROI gains of 50% or more.
- 95% of respondents report lack of alignment between AI initiatives and business goals.
Global analytics software leader FICO today announced its State of Responsible AI in Financial Services: Unlocking Business Value at Scale global report, developed in collaboration with Corinium Global Intelligence. The report chronicles AI’s evolution, tracing how enterprises have transitioned from experimental phases to value creation, to the strategic emphasis on realigning efforts toward maturity, trust, and quantifiable returns on investment.
Conducted by Corinium, the report surveyed more than 250 C-Suite financial services leaders, including Chief Analytics/AI Officers (CAO and CAIO), Chief Technology Officers (CTO), and Chief Information Officers (CIO) who are focused on AI, data, IT, and technology. Leaders were asked to evaluate their organizations’ current capabilities, challenges, and plans regarding adopting Responsible AI.
Responsible AI Standards Drive Competitive Differentiation
“Responsible AI extends beyond risk mitigation—it’s a business imperative. Over half of CAOs and CAIOs (56%) believe that implementing Responsible AI standards will significantly impact ROI,” said Dr. Scott Zoldi, chief analytics officer at FICO. “Meanwhile, human-AI collaboration is key, with 44% of surveyed leaders identifying it as an exciting area for future development. To ensure accountability and reduce AI hallucinations, organizations must clearly define the boundaries and interactions between human oversight and AI capabilities.”
Only 40% pointed to Generative AI (GenAI) and large language models (LLMs) as a major contender for bottom-line ROI improvement. Of the participants, CAOs and CAIOs stated decision intelligence platforms are a top investment priority, as well as a critical system for operationalizing AI across the business. These systems emphasize explainability, traceability, and integration with business processes.
CIOs and CTOs report that only 12% of organizations have fully integrated AI operational standards. This gap represents a significant opportunity for improvement across the industry with a critical emphasis on implementing Responsible AI standards. These standards, such as bias mitigation, performance monitoring, and secure data handling, are the foundation of Responsible AI.
In addition, the data shows that organizations are increasingly wary of over-indexing GenAI and agentic AI without a plan for measurable business implementation. Furthermore, 11% of participants respond to agentic AI technology with concerns of unpredictability, instability, and technical immaturity.
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