Inscribe author page, Conor Burke CTO & co-founder; twin; UCD; Forbes 30 Under 30
Archived source: Inscribe author page, Conor Burke CTO & co-founder; twin; UCD; Forbes 30 Under 30. Captured from www.inscribe.ai.
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Author Conor Burke Biography Writing Speaking Co-founder and CTO Inscribe AI Expertise Artificial Intelligence , Machine Learning , Financial Services , Banking , Lending , Fintech , Document Fraud Detection , AI Fraud Reasoning , Agentic AI Systems , Explainable AI , LLM-Powered Fraud Detection , Biography Last updated: May 28, 2026 Conor Burke is the co-founder and CTO of Inscribe, the agentic document fraud detection platform trusted by leading U.S. banks, credit unions, and fintechs. He leads the AI and engineering systems that power Inscribe's fraud detection capabilities, and has spent nearly a decade working on a single hard problem: building AI that can reason through document fraud the way a skilled analyst would. His technical focus has sharpened around a core insight — that rules-based detection and pattern-matching were built for a world where fraud was predictable and infrequent. Generative AI has broken that assumption. Fraud is now mass-produced, fast-iterating, and designed to pass basic checks. Catching it requires systems that can reason across inconsistencies, adapt to patterns they've never seen before, and explain their conclusions clearly enough for risk teams to act on and regulators to audit. Conor's work at Inscribe reflects that. He has led the development of Inscribe's fraud reasoning architecture — moving from one-to-one detector models toward agentic systems where LLMs orchestrate multiple tools, validate their own outputs, and surface findings with transparent reasoning. He has also written extensively on what explainable AI actually means in practice for financial institutions: not just a score, but a documented chain of logic that shows exactly what the system checked, what it found, and why it matters. He writes on the Machine Mind Blog on topics including LLM reasoning, agentic systems, and practical AI deployment in fraud detection. He is a regular presence on Inscribe's Good Question podcast and has spoken at Money20/20 and Fintech Nexus, and been featured on the State of Identity Podcast and Irish Tech News. He is a 2020 Forbes "30 Under 30 Europe" honoree and studied Electronic Engineering at University College Dublin before completing Y Combinator. What is Conor Burke's area of expertise? Conor Burke specializes in AI systems architecture, LLM-powered fraud detection, and the practical deployment of agentic AI in financial services. As CTO of Inscribe, he leads the engineering behind document fraud detection systems that reason across inconsistencies, adapt to novel fraud patterns, and produce audit-ready explanations for risk teams. What is explainable AI in fraud detection? Explainable AI in fraud detection means a system doesn't just output a fraud score — it documents exactly what it checked, what it found, and why it reached its conclusion. This matters in financial services because risk teams need to justify decisions to compliance teams and regulators, and because analysts need to understand what the AI is telling them before they act on it. Inscribe's AI Agents show their reasoning in real time: what documents were read, what tools were called, what inconsistencies were found, and how those signals add up. How do LLMs improve fraud detection? Standard fraud detection models are trained to recognize known patterns. LLMs add a reasoning layer — they can interpret context, cross-reference signals, and identify inconsistencies that don't match any existing rule. At Inscribe, LLMs are used to orchestrate fraud investigations, generate explanations for flagged documents, and improve parsing of complex document types like bank statements. Switching to LLM-powered parsing improved Inscribe's field coverage on non-English bank statements by up to 5x and reduced false positives. What is the difference between traditional fraud detection and fraud reasoning? Traditional fraud detection follows a fixed playbook: run a document through a set of detectors, each built for a specific fraud type, and return a score. Fraud reasoning works differently. An AI agent plans its own investigation, selects the tools it needs, adapts based on what the evidence shows, and explains its conclusions. This allows the system to catch fraud types it has never seen before — including the first instance of a new scheme — rather than being limited to patterns it was explicitly trained on. What has Conor Burke written and spoken about? Conor Burke writes on the Machine Mind Blog at inscribe.ai on topics including explainable AI, LLM reasoning, agentic systems, and AI deployment in financial services. He has spoken at Money20/20 and Fintech Nexus, appeared on the State of Identity Podcast and Irish Tech News, and is a regular contributor to Inscribe's Good Question podcast. Writing Machine Mind Blog See the latest from Conor Burke Industry Thoughts What “explainable AI” actually means and how to tell If a fraud vendor has it Product 2025 is the year of AI Agents in financial services Industry Thoughts Beyond SaaS: Models-as-a-Service (MaaS) Industry Thoughts How we build for speed, accuracy, and customer ROI Industry Thoughts How we used customer empathy to build AI fraud detection Industry Thoughts Why your credit losses might be due to fraud (and what to do about it) Product Cut application response times in half with new features from Inscribe News Inscribe listed on AIFintech 100 & SaaS Awards Product 5 new Inscribe features to help you fight fraud in 2022 See the Machine Mind Blog for more Additional Articles Explore more from Conor Burke No items found. Published Articles Check out where else Conor Burke's been published No items found. Speaking Good Question Podcast Hear Conor Burke on the “Good Question” podcast 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 14 How are FIs adopting AI agents? A podcast about adoption, trust, and the agentic evolution of fraud prevention Episode 9 AI Art, are we all Picasso now? A podcast about the possibilities and challenges of AI-generated art, exploring its impact on accessibility, collaboration, and the enduring importance of human creativity. 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 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 Conor Burke State of Identity Podcast Series Fighting Flawless Fraud with Conor Burke Irish Tech News Two Types of Fraudster with Conor Burke, CTO of Inscribe Money20/20 Conor Burke talks Fraud Detection at Money20/20 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 ->
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