Cost pressure isn’t new in commercial banking. What’s changed is the need to improve efficiency, invest in AI, strengthen control frameworks and scale operations, all at the same time. As AI moves from experimentation into production, banks are rethinking operating models to balance cost, control, resilience and speed without introducing new risks. Getting this balance right may define the next set of industry winners. Join our upcoming executive webinar: Scaling Commercial Banking Operations: Balancing Cost, Control and AI Strategy - where senior banking leaders discuss how commercial banks are evolving operating models, leveraging AI and building smarter, scalable operations. Secure your spot: https://lnkd.in/dfKMqgze Thomas Stenger Patricia Hooker Mike Mason Doug Bowers #CommercialBanking #BankingOperations #ArtificialIntelligence #RiskManagement #BankingTransformation #CommercialLending #OperationalExcellence #BankingInnovation
Scaling Commercial Banking Operations with AI and Control
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AI adoption in banking is accelerating — but modernization and trust remain critical challenges. In the first episode of Brewing Curiosity: Banking Unfiltered, we draw on IDC insights to look at: - The real state of data & AI across banking - Why many AI initiatives stall after pilots - How trust, governance, and modernization shape what scales A grounded, research‑backed discussion on where banks are today — and what needs to change to move forward with confidence. ▶️ Watch the episode: The State of Data & AI Across Banking https://lnkd.in/ekEkQVne #Banking #AI #DigitalTransformation #TrustworthyAI #BrewingCuriosity
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The new US Banking AI Risk and Governance Index explores how banks are navigating AI adoption, governance and risk. Early findings point to a clear need for stronger oversight, especially in high-risk, consumer-facing areas like collections and recovery. Learn more in the link below https://ow.ly/gOMu50Z5fZK #AIGovernance #BankingAI #RiskManagement
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AI adoption in banking is accelerating — but modernization and trust remain critical challenges. In the first episode of Brewing Curiosity: Banking Unfiltered, we draw on IDC insights to look at: - The real state of data & AI across banking - Why many AI initiatives stall after pilots - How trust, governance, and modernization shape what scales A grounded, research‑backed discussion on where banks are today — and what needs to change to move forward with confidence. ▶️ Watch the episode: The State of Data & AI Across Banking https://lnkd.in/evAaPySn #Banking #AI #DigitalTransformation #TrustworthyAI #BrewingCuriosity
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AI in banking isn’t just about speed or automation, it’s also about transparency. As AI becomes more embedded in customer-facing experiences, explainability matters. If decisions feel unclear or impossible to understand, confidence can quickly erode. In our latest article, we explore why ethical, explainable AI should be part of how financial institutions think about digital experience design: https://bit.ly/4wCltmb
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The banking and financial services sector is clearly at the forefront of AI transformation, driving innovation in how institutions operate, manage risk, and serve customers. Given how deeply businesses and individuals interact with the financial ecosystem, the impact of AI-led banking transformation will extend far beyond the sector itself. An insightful report on how Middle East banks can scale AI effectively.
AI is already redefining banking, from smarter risk management and tailored customer experiences to leaner back offices and faster regulatory response. Yet most banks remain stuck in pilot mode. While 80% of leaders feel the urgency to move faster, gaps in skills, infrastructure, and value measurement continue to slow enterprise-scale adoption. As regional governments invest aggressively in AI capabilities, the race is on. The winners will be the banks that move beyond experimentation and turn AI into a real competitive advantage. The question is: how quickly can Middle Eastern banks scale AI to seize the competitive edge? Our latest report “How Middle East banks can deliver AI at scale” unlocks the future of Middle East banking with AI transformation. Read the full report here: https://delo.tt/6048BBlXUK #DeloitteMiddleEast #Banking #TogetherMakesProgress
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AI is already redefining banking, from smarter risk management and tailored customer experiences to leaner back offices and faster regulatory response. Yet most banks remain stuck in pilot mode. While 80% of leaders feel the urgency to move faster, gaps in skills, infrastructure, and value measurement continue to slow enterprise-scale adoption. As regional governments invest aggressively in AI capabilities, the race is on. The winners will be the banks that move beyond experimentation and turn AI into a real competitive advantage. The question is: how quickly can Middle Eastern banks scale AI to seize the competitive edge? Our latest report “How Middle East banks can deliver AI at scale” unlocks the future of Middle East banking with AI transformation. Read the full report here: https://delo.tt/6048BBlXUK #DeloitteMiddleEast #Banking #TogetherMakesProgress
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AI adoption in banking is accelerating — but modernization and trust remain critical challenges. In the first episode of Brewing Curiosity: Banking Unfiltered, we draw on IDC insights to look at: - The real state of data & AI across banking - Why many AI initiatives stall after pilots - How trust, governance, and modernization shape what scales A grounded, research‑backed discussion on where banks are today — and what needs to change to move forward with confidence. ▶️ Watch the episode: The State of Data & AI Across Banking https://lnkd.in/eeghz7jQ #Banking #AI #DigitalTransformation #TrustworthyAI #BrewingCuriosity
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AI in banking is only as reliable as the data behind it. In Episode 2 of Brewing Curiosity: Banking Unfiltered, Diana Rothfuss is joined by Thomas French and Chris McHargue to unpack the data trust dilemma — why dirty, fragmented data holds AI back, and what banks can do to fix it. ▶️ Watch the full episode https://lnkd.in/eZzrEHqT #Banking #AI #DataQuality #TrustworthyAI #BrewingCuriosity
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AI is only a ‘solution’ when used properly. That’s why StandardC built a privacy-first AI for financial institutions. Our patent-pending architecture prevents PII and sensitive data from ever reaching any AI model, while keeping results reproducible and defensible to even the strictest federal examiner. #AI #banking #standardc
I’ve been asked a lot lately how I think AI will impact Valley and banking more broadly. My take: it’s one of the most discussed topics in our industry right now. And one of the most misunderstood. Too much of the conversation centers on disruption. The real opportunity is more practical: connecting fragmented systems and giving bankers more time to focus on the human relationships that matter most. In an op-ed for American Banker, I shared my perspective on AI as the next evolution of banking infrastructure, an opportunity to modernize operations without losing sight of the client relationships at the heart of our industry.
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Great article Ira Robbins! Couldn't agree more - AI should be approached as a "connectivity solution" rather than a workforce threat. By offloading the "background work" to AI, banks can actually empower their employees to focus on delivering the guidance and support that defines the industry’s value. Too often, we get asked why should we consider Identifee's AI, IDA, versus Generic AI, such as Copilot. In the example of Copilot: Both tools earn their keep — they just do different jobs. Copilot is the productivity layer for every Microsoft user: faster documents, emails, and spreadsheets. IDA is hired ready for banks and credit unions — with hundreds of turnkey FI agents, gated industry content, and core-banking data activated in weeks. The question shouldn't be which AI to use, but where each one sits in your stack. Keep Generic AI, Copilot, as the generic productivity layer for everyday office work. Add IDA where generic AI has to learn on the job — banking rules, FI workflows, core-banking data, and account-holder answers. Be on the lookout in the coming days for a list of what makes IDA purpose built for banks and credit unions. #banks #creditunions #changemeetsprogress
I’ve been asked a lot lately how I think AI will impact Valley and banking more broadly. My take: it’s one of the most discussed topics in our industry right now. And one of the most misunderstood. Too much of the conversation centers on disruption. The real opportunity is more practical: connecting fragmented systems and giving bankers more time to focus on the human relationships that matter most. In an op-ed for American Banker, I shared my perspective on AI as the next evolution of banking infrastructure, an opportunity to modernize operations without losing sight of the client relationships at the heart of our industry.
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