Podcast thumbnail for Good Question

Good Question

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by Inscribe AI

5.0(6 reviews)
28 episodes
Updated Weekly
Accepts GuestsHas Sponsors
44

Podcast Authority

Beta
FairBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality45
Social0
YouTube76
Engagement32

Podcast Overview

Good Question is a podcast about LLMs, AI Agents, and ChatGPT prompts made specifically for fraud fighters and fintech leaders. Brought to you by your friends at Inscribe!

Language

🇺🇲

Publishing Since

8/19/2024

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44

Podcast Authority

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FairBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality45
Social0
YouTube76
Engagement32
7
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11
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excellent
Episode Length
31 minutes
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good
Show Experience
16 episodes over 1.0 years

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Every 23 days

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Recent Episodes

Episode thumbnail for Are banks adopting AI fast enough? | Miguel Navarro & Angela Diaz

June 24, 2026

Are banks adopting AI fast enough? | Miguel Navarro & Angela Diaz

<p>Miguel Navarro (KeyBank) and Angela Diaz (Senior Risk Manager, external fraud oversight) on where fraud teams are actually falling behind on AI, and what it costs them.</p><p><br></p><p>They cover:</p><ul><li>Why reading about AI isn&#39;t the same as using it, and where to start</li><li>How deepfake scams work outside the bank&#39;s visibility — and why that makes them so hard to catch</li><li>The difference between managing risk and avoiding it</li><li>Why collaboration is the most underrated fraud strategy in financial services</li><li>How to build an AI governance framework that lets your institution move with confidence</li></ul><p><br></p><p>Today is the worst AI will ever be. The teams that treat that as a reason to wait are going to have a hard time catching up.</p><p><br></p><p>Fraud Fight Club is an independent fraud prevention community. This episode is sponsored by Inscribe, the AI platform banks and fintechs use to detect document fraud and verify income at scale. Learn more at inscribe.ai.</p>

Episode thumbnail for Will AI replace fraud analysts? | Feat. Frank McKenna & Marc Evans

June 17, 2026

Will AI replace fraud analysts? | Feat. Frank McKenna & Marc Evans

<p>Frank McKenna and Marc Evans come at fraud from opposite ends -- data and the street -- and land in the same place.</p><p><strong>Description (both platforms):</strong>Frank McKenna is Chief Fraud Strategist at Point Predictive and author of the Frank on Fraud blog. Marc Evans is a detective, Certified Fraud Examiner, and founder of Fraud Hero, with 14 years in law enforcement. They approach fraud from completely different vantage points -- Frank from the data side, Marc from the street level -- and keep arriving at the same conclusion: the human element is what holds it all together.</p><p>Recorded live at Fraud Fight Club Round 3, this conversation covers the first-party fraud misclassification problem (Frank&#39;s estimate: up to 70% of early payment defaults in auto lending contain fraud that never gets called fraud), what generative AI actually means for fraud teams, and why Marc keeps coming back to the same point: fraud is not just a tech problem. It&#39;s a human problem.</p><p>Frank&#39;s hot take: AI will create more fraud analyst jobs, not fewer. More coverage, more complexity, more demand. Marc&#39;s angle is complementary: technology evolves on both sides, but knowledge and education are durable in a way that any specific tool is not.</p><p><strong>Topics covered:</strong></p><ul><li>Will AI replace fraud analysts?</li><li>First-party fraud and early payment default misclassification</li><li>Generative AI and the future of fraud operations</li><li>Real-time intelligence sharing between lenders and law enforcement</li><li>What makes a fraud determination hold up in court</li></ul>

Episode thumbnail for How does fincrime connect to human trafficking? (Feat. Freddy Massimi, Live Oak Bank)

June 3, 2026

How does fincrime connect to human trafficking? (Feat. Freddy Massimi, Live Oak Bank)

<p>Freddy Massimi is a Fraud Analytics Analyst at Live Oak Bank, a certified human trafficking investigator, and a fraud professional who has spent his career following financial patterns to their human consequences.</p><p><br /></p><p>In this conversation from Fraud Fight Club Round 3, Freddy traces his path from third-shift debit card fraud at BB&amp;T to elder abuse investigations, human trafficking certification, and now AI-powered document fraud detection. He talks about what the link between financial crime and human exploitation actually looks like in the data — and why fraud teams that understand that connection are better equipped across the board.</p><p><br /></p><p>He also shares a case that changed how he thinks about the job: a pig butchering victim who told him she was planning to end her life. "Trust your gut. Treat every customer like your grandparent."</p><p>On the technology side: Freddy uses Inscribe at Live Oak Bank to detect AI-generated documents. He's seen the forgery market firsthand — pay stubs available for $10, IDs that pass visual inspection, documents generated by AI tools that leave almost no trace for human reviewers.</p><p><br /></p><p>Topics covered:</p><ul><li>AI-generated document fraud and detection</li><li>Pig butchering scams and investment fraud</li><li>Human trafficking and financial crime</li><li>Elder abuse and fraud victim support</li><li>Fraud analytics at community banks</li></ul>

28 total episodes available

Recent guests on Good Question

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Brianna Valleskey

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Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Good Question?

Good Question is a podcast about LLMs, AI Agents, and ChatGPT prompts made specifically for fraud fighters and fintech leaders. Brought to you by your friends at Inscribe!

How often does this podcast release new episodes?

This podcast updates weekly.

Where can I listen to this podcast?

This podcast is available on 7 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

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