Posts about financial-services
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Governance Is a Design Problem
Compliance-first governance produces paperwork. Design-first governance produces systems you can actually explain to a regulator.
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Model Risk Management Was Not Built for This
SR 11-7 assumes models are tools that produce outputs for human review. AI agents are actors that take actions autonomously. Every assumption breaks.
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Your AI Risk Tier Is Probably Wrong
List-based and process-based approaches to AI risk classification both fail in predictable ways. The failure mode depends on which you chose.
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Human Oversight Doesn't Scale
Every AI governance framework demands human-in-the-loop. Nobody does the maths on what that means at enterprise scale.
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The Maker-Checker Trap
Most AI maker-checker implementations capture the correction but not the reason. That's a feedback loop with no signal.
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Governance Is a Tax
The most useful reframe I've found for AI governance in financial services
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The Market Prices Leverage, Not Value
After a decade in financial services, I've stopped believing that what you earn reflects what you contribute.
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Where Gen AI Is Actually Transformative (And Where It Isn't)
I work in AI in financial services. The honest list of where gen AI is real is shorter than the industry wants you to think.
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The Trust Spectrum
Peter Steinberger stopped reviewing AI-generated code entirely. That works for indie software. In regulated environments, it can't. Here's how to think about where you sit.
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Three AI Governance Blind Spots No Framework Covers
Most AI governance frameworks are technically-focused risk checklists. Three structural risks are missing from almost all of them.
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AI Vendor Selection Is Now a Values Decision
OpenAI took the Pentagon contract Anthropic refused. Your AI vendor just became a political statement — and enterprise procurement hasn't caught up.
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What Surprised Me Studying for the GARP Responsible AI in Finance Exam
I expected the hard parts to be the technical sections. They weren't. The governance sections were harder, and more useful.
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Three Things AML AI Models Still Get Wrong in 2026
The models aren't the problem. The operating models are. Three structural failures in AML AI from years building these systems inside a bank.
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The AI Job Title Illusion
Two job ads. Same bank. Same week. Same title pattern. Completely different jobs. The AI hiring market has a labelling problem.
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AI Governance Category Error: Routing vs. Compliance
Your AI governance framework is a routing spreadsheet pretending to be a compliance programme. Regulators will spot the difference.
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What Makes a Great AI Consultant (Beyond Technical Skills)
The most dangerous person in an AI consulting engagement knows how the model works but has never sat in a credit committee.
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HK/APAC as an AI Hub for Financial Services: The Story Being Missed
Hong Kong has quietly run one of the most sophisticated GenAI experiments in global banking. Almost no one outside the region is paying attention.
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AI Agent Frameworks for Enterprise FS: What Actually Works vs. Hype
Most enterprise AI agent pilots in financial services fail at the same point: the second tool call. The problem isn't the framework.
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RAG for Compliance: The Hard Problem Is Chunking, Not Retrieval
Banks are deploying RAG for compliance and discovering the hard problem isn't retrieval. It's the pipeline before it.
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Banking DS to AI Consulting: What the Transition Actually Teaches You
The operational instincts built in production banking don't belong in the past. They're exactly what makes a practitioner-turned-consultant useful.
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Most Banks Don't Need an AI Strategy
The real project isn't artificial intelligence. It's the data infrastructure that AI exposes as broken.