Evident finds banks strengthening AI controls, but only 12 disclose returns
Governance staffing rose 33% across the banks assessed. The annual index also added measures of deployment and business impact, putting more emphasis on what AI delivers.
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Governance staffing rose 33% across the banks assessed. The annual index also added measures of deployment and business impact, putting more emphasis on what AI delivers.
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Evident’s October 6 index shows banks moving beyond responsible-AI commitments toward operational safeguards: more than two-thirds of the 50 institutions reported detailed controls, and governance teams grew. Disclosed AI returns remain less common: 12 banks reported ROI, up from eight last year, a measure of transparency rather than evidence that other projects failed. Evident says banks scaling AI are embedding it in workflows, with time savings often redirected to client work, products and backlogs—making deployment and measurable operating value key areas to watch.
JPMorgan Chase topped the overall ranking, followed by Capital One, Royal Bank of Canada and CommBank.
Banks cited more than 1,100 AI use cases since 2021, with software implementation and advisory tools among reported sources of value.
This year’s assessment added criteria for deployment, adoption, use, impact and return on investment.
Responsible AI commitments are becoming standard at major banks; disclosed financial returns are not. Evident’s annual AI Index, published October 6, assessed 50 large global banks. All but one reported responsible AI principles, but only 12 reported return on investment from AI projects. JPMorgan Chase led the ranking for AI maturity.
The spread of formal commitments has been rapid: just 16 banks reported responsible AI principles in 2023. This year’s index also found more than two-thirds reporting detailed controls for AI systems. Those measures go beyond stating an intention to use the technology responsibly and address how systems operate.
Banks are adding people to support that work. AI governance talent across the 50 banks grew 33% year over year, Evident found. Alexandra Mousavizadeh, Evident’s co-founder and co-CEO, told CIO Dive that leading banks build standardized safeguards into their shared AI infrastructure.
Errors can therefore translate directly into financial loss, customer harm, regulatory breaches or systemic and reputational risk
Alexandra Mousavizadeh, Evident co-founder and co-CEO, speaking to CIO Dive
The index uses publicly available data to assess 50 of the largest banks across North America, Europe and Asia-Pacific. Its four main areas are talent, innovation, leadership and transparency. BBVA’s account of the methodology says this year’s assessment added criteria for AI deployment, adoption, use, impact and return on investment.
Capital One followed JPMorgan Chase in the overall ranking, with Royal Bank of Canada and CommBank next. BBVA said it ranked first among eurozone banks and third among European banks. It also placed fourth in leadership, a category that considers senior management involvement and reported results from AI initiatives.
The banks cited more than 1,100 AI use cases since 2021. Evident found that banks scaling AI were concentrating on embedding it deeper into workflows rather than pursuing universal adoption. Software implementation and advisory tools were among the uses banks reported as delivering value this year.
The number reporting return on investment rose from eight last year to 12. That is a measure of disclosure, not proof that the other banks’ projects failed to generate returns. Mousavizadeh said banks finding time savings tend to put that capacity toward clients, products and backlogs of work—not simply leave the saved time unused.
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