Maveric Systems
by Maveric Systems
Latest episode
The Hidden AI Risk Layer Banks Are Not Prepared For
The Hidden AI Risk Layer Banks Are Not Prepared For
About this podcast
Maveric Podcasts is an expert-led audio series focused on key trends shaping the AI-first banking world. Featuring perspectives from Maveric Systems’ BankTech specialists and industry experts, the conversations surface insights on how artificial intelligence is influencing decision-making, innovation, and competitive differentiation in financial services.
The discussions span Retail Banking, Wealth Management, Corporate Banking, Lending, and Payments, examining emerging AI-driven shifts across products, customer engagement models, and business strategy. The content is designed for banking and financial services leaders seeking informed, practical viewpoints on where AI adoption is headed and what it means for the future of banking.
Episodes
The newest 20 of 80 episodes
- The Hidden AI Risk Layer Banks Are Not Prepared For · 1 minListen as Maveric Systems explores how shadow tools, agentic workflows, and embedded AI can create consequential decisions outside traditional model-risk governance.
- Why Regional Banks Need an AI Investment Sequence, Not a Longer Use-Case List · 1 minDiscover how regional banks can prioritize AI investments, balance early business value with governance, and build reusable capabilities that support responsible AI adoption.
- AI in Banking Is Accelerating Software Delivery. Can Quality Engineering Keep Up? · 1 minDiscover how AI-driven software development is changing quality engineering expectations in banking, and why continuous intelligence, contextual testing, and release confidence…
- Why Traditional Software Testing Fails Modern Banking Systems · 1 minDiscover a five-question framework for assessing banking transformation readiness, identifying execution gaps, and making more informed investment decisions before advancing to…
- SR 26-2 Resets Model Risk Management. But It Does Not Govern Every Form of Banking AI · 1 minExplore what SR 26-2 means for banking model risk management, where generative and agentic AI create additional governance challenges, and why system-level controls matter.
- Your Vendor’s Model Card Will Not Defend Your Bank: Closing the Third-Party AI Evidence Gap · 1 minExplore why vendor benchmarks and documentation are insufficient for banking AI assurance, and how institution-specific testing, contractual controls, and ongoing monitoring can…
- Agentic AI Breaks the Single-Decision Audit Model. Banks Need Decision-Chain Accountability · 1 minDiscover why agentic AI governance requires decision-chain accountability, traceable actions, clear authority boundaries, and stronger controls over autonomous banking workflows.
- Can Generative AI Improve Banking Test Design Without Increasing AI Risk? · 1 minExplore how generative AI can improve banking test design while managing risks around accuracy, incomplete coverage, sensitive data, and explainability through governed workflows…
- Why Banking Needs AI Architecture, Not AI Projects · 1 minExplore why isolated AI projects struggle to scale and how a shared architecture built around data, model, system, and outcome trust can support sustainable banking AI adoption.
- How Context-Aware Regression Testing Reduces Release Risk in Banking · 1 minDiscover how context-aware regression testing uses business rules, change impact, system dependencies, and historical defects to improve test selection and banking release…
- Why AI-First Banking Needs More Than Test Automation · 1 minLearn why test automation alone cannot guarantee banking software quality and how continuous quality intelligence connects business context, risk coverage, and release evidence.
- From Digital Channels to Decision Systems: Four Shifts Defining AI-First Banking · 1 minExplore four operating model changes reshaping AI-first banking, from contextual customer intelligence and modernized architecture to predictive operations and governed software…
- The Execution Readiness Framework: A Five-Question Test Before You Fund the Next Phase · 1 minListen how fragmented data, legacy systems, and weak data governance create hidden obstacles to banking transformation, and why addressing data debt is essential for reliable AI…
- The Release Confidence Gap in AI-First Banking · 1 minExplore why automated testing results do not always translate into confident banking releases, and how connected risk intelligence and evidence-based validation can improve…
- The Shift from Manual Validation to Intelligent Quality Engineering · 1 minExplore how banks can move beyond manual validation by connecting institutional knowledge, AI-assisted analysis, and risk-based testing to strengthen software quality and release…
- When the Core Becomes an Inference Engine: What Changes for Banking Architecture · 1 minExplore how AI-enabled core banking is evolving beyond transaction processing toward contextual intelligence, governed inference, and more informed banking decisions.
- Trust Debt: How Unexplainable AI Slows Down Banking Transformation · 1 minExplore why unexplainable AI decisions can delay banking transformation, how trust debt accumulates, and why explainability, continuous validation, and governance are essential…
- How Regional Banks Can Move Toward Continuous Quality Without Replacing Their Existing Toolchain · 1 minLearn how regional banks can introduce continuous quality intelligence through a phased approach that builds on existing testing tools, delivery pipelines, and governance…
- The Hidden Architecture Behind AI-Ready Core Banking: Query-Level Validation · 1 minUnderstand why reliable datasets alone cannot guarantee trustworthy AI decisions, and how query-level validation strengthens evidence quality, policy compliance, and decision…
- AI-Native Quality Engineering: The Next Evolution Beyond Automation · 1 minHear why traditional testing approaches struggle with modern banking complexity and how intelligent, context-aware quality engineering can improve coverage, reduce risk, and…
