Inscribe author page, Ronan Burke CEO & co-founder; Limerick; twin; UCD electronic engineering; Forbes 30 Under 30; q...
Cited in: Ronan Burke
Full text
Author Ronan Burke Biography Writing Speaking Co-founder and CEO Inscribe AI Expertise AI Risk Agents , Fraud Detection , Risk Management , Financial Services , Banking , Lending , Fintech , Document Fraud Detection , AI Fraud Reasoning , Generative AI and Financial Crime , Agentic AI for Risk Teams , Biography Ronan Burke is the co-founder and CEO of Inscribe, the agentic document fraud detection platform trusted by leading U.S. banks, credit unions, and fintechs. He has spent nearly a decade at the front lines of financial document fraud — first building the detectors, and now the reasoning systems designed to replace them. His focus is the intersection of generative AI and financial crime. Generative AI has changed the economics of fraud: a convincing pay stub takes seconds to produce, editable bank statement templates sell for under $10, and the volume of fraudulent documents reaching financial institutions has grown to roughly one in sixteen. Ronan's view is that the fraud industry moved first, and most defenses haven't caught up. Rules-based systems and static classifiers were built for a world where fraud was infrequent. They're poorly matched to attacks that are constant, cheap, and fast-iterating. The answer he keeps coming back to is fraud reasoning: AI that plans, investigates, and explains its conclusions rather than running a fixed checklist. Inscribe's AI Agents reflect that philosophy: they cross-reference metadata, validate employers, flag forensic anomalies, and produce audit-ready explanations, reducing document review from 30 minutes to under 90 seconds while catching fraud that detection alone misses. Ronan writes for Forbes and ACFE on document fraud, deepfakes, and responsible AI in financial services, and hosts Inscribe's podcast Good Question, where he interviews fraud and risk leaders across banking, lending, and fintech. He has spoken at Lend360, Finovate Fall, and the ACU Business Lending Roundtable, and has been featured in TechCrunch, Fast Company, VentureBeat, and The Irish Times. He is a Forbes Technology Council Member and a 2020 Forbes "30 Under 30 Europe" honoree. He studied Electronic Engineering at University College Dublin and later completed Y Combinator. “We're entering an era where it's no longer a question of whether a document looks real — but whether it can prove it's real.” FAQ What is Ronan Burke's area of expertise? Ronan Burke specializes in document fraud detection, generative AI, and agentic systems for financial crime prevention. He has spent nearly a decade studying how fraud tactics evolve — particularly how generative AI has changed the volume, velocity, and sophistication of document fraud — and what detection and reasoning systems need to do to keep pace. What is document fraud? Document fraud is the submission of forged, fabricated, or altered documents — such as pay stubs, bank statements, tax returns, or utility bills — to deceive financial institutions during onboarding, lending, or underwriting. Generative AI has made document fraud significantly easier to commit: convincing fakes can now be produced in seconds, and editable templates are widely available for under $10. Roughly one in sixteen documents processed across Inscribe's network in 2025 showed signs of manipulation, fabrication, or misrepresentation. How is generative AI changing document fraud? Generative AI has changed the economics of fraud. Creating a convincing fake document once required technical skill and significant effort. Today, AI tools can produce realistic pay stubs, bank statements, and utility bills in seconds — and template marketplaces make editable fraudulent documents available to anyone. The result is that fraud is no longer rare or isolated. It is routine, scalable, and fast-iterating, which means static, rules-based detection systems — built for a world where fraud was infrequent — are no longer sufficient. What is fraud reasoning? Fraud reasoning is an approach to fraud detection that uses AI agents to investigate documents the way a skilled analyst would — planning a sequence of checks, adapting based on what the evidence shows, cross-referencing metadata and content signals, and producing an explanation of its conclusions. This is distinct from traditional detection, which runs a fixed set of rules or classifiers and outputs a score. Fraud reasoning allows AI systems to catch novel fraud types, handle complex cases, and provide the audit-ready explanations that risk and compliance teams require. What podcasts and publications has Ronan Burke appeared in? Ronan Burke hosts Good Question, Inscribe's podcast on fraud, AI, and financial risk. He has been interviewed on Banking on Fraudology, Fraud Forward, Dilly Labs, and Disruptive CEO Nation. His writing has appeared in Forbes, ACFE Fraud Magazine, and The Credit Union Connection. He has also spoken at Lend360, Finovate Fall, and the ACU Business Lending Roundtable. Writing Machine Mind Blog See the latest from Ronan Burke Industry Thoughts From forgeries to deepfakes: Document fraud in the age of generative AI Product This receipt was made by AI — can you tell? Industry Thoughts Fintech 2030: Envisioning an AI workforce for risk teams Product Introducing AI Risk Agents from Inscribe Product The critical role of AI-powered fraud detection during onboarding and underwriting Industry Thoughts How LLMs deployed as AI Agents are going to transform knowledge work News Top takeaways from the 2024 Document Fraud Report Product The future of lending is cashflow insights — Inscribe can get you there Industry Thoughts 12 common red flags in loan underwriting for application fraud Industry Thoughts How mortgage lenders can reduce fraud and loan defaults News Introducing Inscribe’s 2023 Document Fraud Report News Announcing our Series B: We’ve raised $25M to help companies build digital trust with Risk Intelligence See the Machine Mind Blog for more Additional Articles Explore more from Ronan Burke No items found. Published Articles Check out where else Ronan Burke's been published Forbes How To Reinvent Your Business With AI: A Playbook For SaaS Leaders Forbes How To Spot A Deepfake Document Forbes Fraud Is Increasing: How Can Financial Companies Fight Back? Forbes Four Best Practices For Protecting Revenue With Risk Management Forbes Why Automating Financial Services Without Risk Management Can Be Reckless, And How To Automate Responsibly ACFE Fake Documents are on the Rise—Here are 3 Trends to Watch Speaking Good Question Podcast Hear Ronan Burke on the “Good Question” podcast Episode 22 Why don’t more fraudsters go to jail? A Las Vegas fraud detective and the team at Inscribe explore the gap between catching fraud and prosecuting it — and why prevention is the only answer that actually works. Episode 21 Will every bank become a fintech? (Featuring TikTok) TikTok's Head of Payment Risk and Discover's former fraud oversight leader explore how digital platforms and banks now face the same fraud threats — and why traditional banks are rapidly becoming fintechs. Episode 20 What fraud trends are defining 2026? (Featuring Alloy) Alloy President and co-founder Laura Spiekerman joins Inscribe CEO Ronan Burke to discuss AI-driven fraud volume, post-origination risk, and how fraud teams are adapting across the full customer lifecycle. Episode 19 How do you evolve your fraud strategy in the AI age? (Featuring Coast) A podcast about adapting to AI fraud tactics, evolving signals, and human-in-the-loop AI for prevention. Episode 18 How are lenders catching deepfake documents? (Featuring Rapid Finance) A podcast about how Rapid Finance is adapting to the rise of AI-generated document fraud and redesigning their underwriting workflow to stay ahead. Episode 16 Are we ready for the AI fraud crisis? A conversation about Sam Altman’s comments to the Federal Reserve, why document fraud is so hard to detect, and how agentic systems promise a new era of fraud prevention. Episode 12 AI generated documents, should we be concerned? A podcast about fake receipts, autoregressive image models, and just how much of a threat AI-generated documents are. Episode 8 How are LLMs impacting the fraud landscape? A podcast about Claude 3.5, LLM trend analysis for risk detection, and the evolution of fraudtech over the past 30 years — featuring Frank on Fraud! Episode 5 [Live] AI Agents, can they fight fraud? A live podcast about the role of AI agents in the future of fraud prevention featuring insights from expert fraud fighters, a live studio audience, and ChatGPT! Episode 4 Gemini, are two brains better than one? A podcast about multimodal large language models, twins, and whether two brains are better than one. Episode 3 AI teammates, will they outperform us? A podcast about Lattice’s “Responsible Employment” launch (and rollback), how AI is disrupting the workforce, and why humanity isn’t totally lost. Episode 2 ChatGPT, can it be a podcast guest? A podcast about AI Risk Agents, who’s responsible for the safe use of LLMs, and whether ChatGPT can be a podcast guest. Episode 1 AI, are we in a bubble? A podcast about hype cycles, whether we’re in an AI bubble, and what trillion-dollar problem AI will solve. See the Good Question Podcast for more Speaking engagements Listen to interviews with Ronan Burke Dilly Labs What's the Dilly-o with Inscribe? Fraud Forward Document Fraud in the Age of Generative AI with Ronan Burke Disruptive CEO Nation Disruptive CEO Nation featuring Ronan Burke What will our AI Agents find in your documents? Start your free trial to catch more fraud, faster. Free Trial Join our email list for the latest risk trends, product updates, and more. Platform Document Fraud Detection -> How Inscribe Works -> Why Inscribe -> Industries Banks -> Credit Unions -> Lenders -> Customer Stories All Customer Stories -> Amount -> BCU -> BHG Financial -> Bluevine -> Camino Financial -> Coast -> Gig Wage -> . GSC -> Kinecta -> Logix FCU -> Mercari -> Navan -> Plaid -> Ramp -> Rapid Finance -> Company About Us -> History of Inscribe -> Careers -> Partners -> News & Press -> Contact Us -> Resources Good Question Podcast -> Machine Mind Blog -> 2026 Document Fraud Report -> Demo Center -> Trust Center -> Documentation -> Guides Bank Statement Analyzer -> Credit Analysis Overview -> Document Collector Software -> Document Fraud Detection Software -> Fake Bank Statement Detector -> Financial Risk Management Overview -> Fraud Detection Guide -> How to Identify Fake Documents -> KYB Document Fraud Detection -> Loan Document Fraud Detection -> Loan Underwriting Overview -> Online Document Verification Software -> Risk Intelligence Overview -> Miscellaneous Terms -> Privacy -> Status -> Disclosures -> Subprocessors ->
File and source
- File
- ronan-burke_9085c36bdb808e04.html
- Size
- 136,640 bytes
- SHA-256
- 380c71b77196f7ad485450d0b539855400c13d315a2ba01acb55a367562e6491
- Original
- www.inscribe.ai