In this episode of Good Question, we explore a fast-emerging challenge in fraud detection: AI-generated documents. Recent updates to ChatGPT’s image generation capabilities have introduced powerful new tools for fraudsters. Using an autoregressive image model (as opposed to diffusion-based approaches), these systems can now generate entire documents from scratch (pixel by pixel) with highly realistic formatting and texture.

Join Inscribe CEO & Co-founder Ronan Burke, Senior Research Scientist Martina Pugliese, and host Brianna Valleskey as they dive into how new generative image models are being used to create realistic-looking receipts, invoices, and even bank statements — and what that means for risk teams. We cover:

- How autoregressive image models work (and why they’re more convincing than ever)

- Which types of documents are easiest to fake (and which still pose challenges for AI)

- What forensic and semantic signals Inscribe uses to detect synthetic documents

- How Inscribe’s AI agents are evolving to stay ahead of this threat

- Why this isn’t hype — but also not a panic moment

From synthetic receipts to near-realistic invoices, this episode explores what’s real, what’s hype, and what’s coming next in the arms race between generative AI and fraud detection.

#GenerativeAI #DocumentFraud #fintechpodcast #Fintech #FraudDetection #LLMs #genai #RiskManagement

In this special episode of Good Question, we kick off a new series spotlighting women in fintech risk and leadership with an empowering conversation featuring Camilla Matias, COO at Brex, and Angela Apinyavat, Head of Customer Success at Inscribe. Hosted by Bri Valleskey, Head of Marketing at Inscribe, the episode dives into Camilla and Angela’s unique journeys into fintech, their rise through leadership ranks, and the biases they’ve overcome along the way. 

They share candid reflections on navigating imposter syndrome, advocating for themselves, and building high-impact careers in a fast-moving industry shaped by AI. With practical advice on decision-making, self-promotion, and doubling down on your strengths, this episode offers a powerful message for women aiming to lead in fintech—and the allies who want to support them.

Sources cited 

About the guests

In the latest episode of Good Question, we sit down with Matt Overin, Manager of Fraud Risk Management at Logix Federal Credit Union, and Daragh McMeel, Risk Operations Manager at Inscribe, to unpack key findings from Inscribe’s 2025 Document Fraud Report. We explore the most common document fraud trends, how financial institutions are tackling document manipulation, and what fraud fighters should prioritize this year.

Sources cited 

About the guests

What does it mean to create art in the age of generative AI? On the latest episode of Good Question, Inscribe Staff Product Designer Patrick Cusack and CTO Conor Burke sit down with Brianna Valleskey to explore the possibilities and challenges of AI-generated art. From its impact on accessibility and collaboration to the enduring importance of human creativity, this conversation highlights the evolving intersection of technology and art.  “The important factor is really the taste someone has—what they’re making, the message they’re communicating,” Patrick explained. “In the past, we might have appreciated something for its technical excellence, but now it’s about what you’re saying.”

Sources cited 

Runway’s Gen-3 Alpha Turbo is here and can make AI videos faster than you can type: https://venturebeat.com/ai/runways-gen-3-alpha-turbo-is-here-and-can-make-ai-videos-faster-than-you-can-type/

Midjourney Makes AI Image Creation Free for Everyone: https://www.pcmag.com/news/midjourney-makes-ai-image-creation-free-for-everyone-heres-how-to-try-it

AI video startup Runway reportedly trained on ‘thousands’ of YouTube videos without permission: https://www.engadget.com/ai/ai-video-startup-runway-reportedly-trained-on-thousands-of-youtube-videos-without-permission-182314160.html

Aoife O'Dwyer – Art, Illustration & Design: https://aoifeodwyer.com/

Patrick Cusack is the Staff Product Designer at Inscribe, where he leads the design process from research through to delivery. With over 15 years of experience in product design, Patrick brings a strong focus on crafting intuitive and impactful user experiences. He is also a guest lecturer at the Limerick School of Art and Design, where he introduces students to UX design principles. Outside of work, Patrick explores creative passions such as interactive visuals and the integration of generative AI in design. Based in Dublin, Patrick continues to push the boundaries of design and innovation.

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Brianna Valleskey is the head of marketing at Inscribe AI. While her career started in journalism, she has spent more than a decade working on SaaS revenue teams. She is passionate about enabling fraud fighters and risk leaders to unlock the enormous potential of AI.

Conor Burke is the co-founder and CTO of Inscribe. He founded Inscribe with his twin after they experienced the challenges of manual review operations and over-burdened risk teams at national banks and fast-growing fintechs. So they set out to alleviate those challenges by deploying safe, scalable, and reliable AI.

Large language models (LLMs) and AI agents are not just buzzwords—they're reshaping how we think about fraud detection and prevention. In this episode, we’re joined by  Frank McKenna, a well-known fraud expert and Chief Fraud Strategist at Point Predictive (as well as the voice behind Frank on Fraud, a widely respected blog in the fraud space) and Inscribe CEO Ronan Burke. Frank demonstrates Claude’s new analytics feature, showcasing its ability to analyze data, generate visuals, and produce comprehensive summaries within seconds. Watch all the way to the end to see this episode's bloopers!

Sources cited 

About the guests

Ronan Burke is the co-founder and CEO of Inscribe AI. He founded Inscribe with his twin after they experienced the challenges of manual review operations and over-burdened risk teams at national banks and fast-growing fintechs. So they set out to alleviate those challenges by deploying safe, scalable, and reliable AI. A 2020 Forbes “30 Under 30 Europe” honoree, Ronan is also a Forbes Technology Council Member and has been featured in Fast Company, VentureBeat, TechCrunch, and The Irish Times. He graduated from the University College Dublin with a Bachelor's degree in Electronic Engineering and later completed the Y Combinator startup accelerator program.

Brianna Valleskey is the head of marketing at Inscribe AI. While her career started in journalism, she has spent more than a decade working on SaaS revenue teams. In addition to being named a 2022 Experimental Marketer of the Year and one of the 2023 Top 50 Woman in Content, Brianna has previously served in marketing roles at Sendoso, LevelEleven, and Benzinga. She is passionate about enabling fraud fighters and risk leaders to unlock the enormous potential of AI.

As the holiday season kicks into high gear, it’s not just shoppers and families preparing for festivities—fraudsters are ramping up their efforts too. In the latest episode of Good Question, we sit down with fraud prevention experts Dustin Eaton, a financial crimes professional at Seis who recently published an article with ACAMS titled “Holiday Scams to Watch Out for in 2024,” and Daragh McMeel, risk operations manager at Inscribe AI, to discuss seasonal fraud trends, scams to watch out for, and how businesses and consumers can protect themselves.

P.S. Listen to the end of the podcast to hear our favorite holiday movies and the episode’s bloopers!

Sources cited 

About the guests

In the latest episode of Good Question, we explore how new tools like Fraud GPT, a dark AI tool designed specifically for malicious activities, are changing the landscape of financial crime. We talk about how Inscribe is developing innovative solutions to counter these threats. The conversation covers a wide range of topics, including the challenges of evolving AI technology, ethical considerations in AI development, and the importance of human oversight. Inscribe’s mission is to build solutions that blend the computational power of AI with the human insight that is crucial for nuanced decision-making. This isn't just about automating fraud detection—it's about elevating the capabilities of fraud teams to keep up with an increasingly complex landscape.Whether you're a fraud fighter, a product lead, or just interested in the future of AI, this episode is packed with valuable insights into the present and future of AI in fraud detection. AI is not here to replace human fraud fighters but to empower them. While tools like FraudGPT pose new challenges, they also highlight the importance of staying ahead of the curve with AI-powered solutions.

Interesting moments:

04:46 — “We talk about the three V’s of AI: volume, velocity, and variety. AI lets you generate more data than you ever could before, faster, and in different formats—text, image, video—and that’s how fraudsters are using these tools.”

06:44 — “AI can help analyze vast amounts of data much quicker, identify patterns and anomalies that may indicate fraud, and adapt to new fraudulent tactics more swiftly than current manual systems.”

10:03 — "Fraudsters are organizations. They have operations and processes themselves. In the same way you can use AI to streamline operations in a standard corporation, fraudsters can be looking to reduce their time to produce content or get the outcome they want.”

34:10 — “The AI fraud analyst is here to empower human analysts, not replace them. By automating repetitive tasks, AI allows humans to focus on more complex and high-value work, like strategic decision-making and managing nuanced investigations.”

35:01 — “By combining the computational power of AI with the contextual understanding of human analysts, organizations can create a really powerful and efficient fraud detection capability.”

P.S. Need a little levity in your day? Listen to the end of the podcast to hear each episode’s bloopers!

Sources cited 

About the guests

Daragh McMeel, QFA, is the Risk Ops Lead at Inscribe AI. He is a Qualified Financial Advisor (QFA), as well as a member of the Institute of Bankers in Ireland (IOB) and the Association of Certified Fraud Examiners (ACFE). Daragh developed a passion for fighting fraud after working in the verification and underwriting processes at multiple financial institutions including Humm, Ireland's leading BNPL provider.

Aidan Davies is a Product Manager at Inscribe AI where he leads product for AI Agents at Inscribe. Aidan previously served in economic analyst roles for the finance ministry, as well as product strategy and consulting at Accenture.

Brianna Valleskey is the head of marketing at Inscribe AI. While her career started in journalism, she has spent more than a decade working on SaaS revenue teams. She is passionate about enabling fraud fighters and risk leaders to unlock the enormous potential of AI. 

In this live recording of Good Question, we explore the role of AI agents in the future of fraud prevention with expert fraud fighters, a live studio audience, and (of course) ChatGPT! This lively discussion focuses on the integration of AI agents into fraud-fighting strategies to streamline operations, enhance accuracy, and improve team efficiency. Our guests start by reflecting on the impact of generative AI tools like ChatGPT, discuss their potential to reduce the "toil" fraud operations teams face, and debate whether AI might eventually replace certain roles or merely augment human expertise. Our guests also interact with the audience, responding to real-time questions and feedback! Throughout the conversation, they emphasize the importance of embracing AI tools while ensuring that human judgment remains central in fraud detection processes, especially in handling complex and nuanced cases. They also touch on the evolving nature of fraud threats, with AI being leveraged by both defenders and bad actors, and how fraud fighters must stay vigilant as AI technology advances.

Sources cited 

About the guests

Andrew Stone is the Senior Vice President of Fraud Management at BHG Financial, where he leads a global team focused on fraud prevention, AML/BSA compliance, and financial crimes management. With over 30 professionals under his leadership, Andrew oversees enterprise fraud strategies across diverse product lines. He also serves as a board observer and industry expert for Vouched, contributing his insights on identity, KYC, and biometric solutions. Andrew is dedicated to exploring innovative technologies to combat financial crimes and frequently collaborates with industry leaders to share best practices.

PJ Rohall has been fighting fraud for 15 years. He has a strong understanding of mitigating bad actor use cases across the full customer journey. He leverages this skill set to educate and empower fraud fighters across the globe. He co-founded About Fraud, a global community built For Fraud Fighters, By Fraud Fighters. PJ exudes passion and vibrancy that engages others, while offering a refreshing dose of emotional intelligence. He is also a passionate mental health advocate, striving to break the stigma with personal stories of his journey with anxiety & OCD.

Brianna Valleskey is the head of marketing at Inscribe AI. While her career started in journalism, she has spent more than a decade working on SaaS revenue teams. She is passionate about enabling fraud fighters and risk leaders to unlock the enormous potential of AI. 

In this debut episode of our new podcast, Good Question, we dive into the rapidly evolving world of AI, focusing on the hype surrounding large language models (LLMs) and whether the excitement is justified. Ronan and Conor, our co-founders, bring their unique perspectives on the AI landscape as we discuss the current state of AI within the technology hype cycle, exploring whether we are nearing a bubble and what that might mean for the industry. We also explore the potential (and limitations) of AI's economic impact, as well as articles from Sequoia Capital and Goldman Sachs questioning the ROI of AI investments. While we are generally optimistic about AI’s potential, we also acknowledge the importance of skepticism and balanced viewpoints in guiding sustainable AI development and adoption. Finally, we wrap up with a lightning round, where we share our views on what’s currently overhyped (or underhyped) in both tech and everyday life.

‍‍Interesting moments

Short on time? Check out these interesting moments from the conversation …

01:43 — "The introduction of LLMs into society has given everyone the ability to use AI by simply coming up with compelling prompts, often in the form of questions."‍

04:55 — “This does seem like a generational technology shift, just like semiconductors and the internet—worth betting on for the long term."‍

13:52 — "A certain level of hype is actually good to get technology off the ground, but too much can lead to a bubble, which can be a setback."

18:23 — "In AI investments, it’s not a simple timing question—dollar in today doesn't mean dollar back tomorrow. It’s about when that return will come, and that’s the tricky part."‍

21:56 — "In a well-functioning society, it’s always good to have checks and balances. Skepticism helps us think about investments more robustly."‍

28:47— "When Zillow builds their AI real estate agent, take note: we need to know the number, position, and dimensions of windows, as well as the amount of sunlight!"

We hope you enjoyed the discussion, learned something new, and are as excited as we are about the future of AI. Stay tuned for more thought-provoking conversations in upcoming episodes!

‍P.S. Need a little levity in your day? Listen to the end of the podcast to hear each episode’s bloopers!

Sources cited 

AI’s $600B Question: https://www.sequoiacap.com/article/ais-600b-question/

Gen AI: Too Much Spend, Too Little Benefit?: https://www.goldmansachs.com/images/migrated/insights/pages/gs-research/gen-ai--too-much-spend,-too-little-benefit-/TOM_AI%202.0_ForRedaction.pdf

About the guests

Ronan Burke is the co-founder and CEO of Inscribe. He founded Inscribe with his twin after they experienced the challenges of manual review operations and over-burdened risk teams at national banks and fast-growing fintechs. So they set out to alleviate those challenges by deploying safe, scalable, and reliable AI. 

Conor Burke is the co-founder and CTO of Inscribe. He founded Inscribe with his twin after they experienced the challenges of manual review operations and over-burdened risk teams at national banks and fast-growing fintechs. So they set out to alleviate those challenges by deploying safe, scalable, and reliable AI. 

Brianna Valleskey is the head of marketing at Inscribe AI. While her career started in journalism, she has spent more than a decade working on SaaS revenue teams. She is passionate about enabling fraud fighters and risk leaders to unlock the enormous potential of AI.

In this episode of Good Question, we explore one of the most exciting developments in the world of large language models: multimodal LLMs, which combine different types of data — like text and images — to create a more nuanced understanding of information. We talked about how the relationship between those models is akin to being twins, where two brains can offer different perspectives while working toward the same goal. Just as twins, like our co-founders Ronan and Conor Burke, can leverage their unique viewpoints to tackle challenges more effectively, multimodal LLMs use their ability to process multiple data types to outperform single-modal models. Our discussion also covers how the integration of multimodal data in LLMs is crucial for advancing AI toward behaviors that mimic human reasoning, how LLMs allow for better performance in tasks such as document parsing, and the future of these models (particularly in consumer applications). We hope you enjoy this conversation about the similarities between multimodal LLMs and twins, exploring why two brains—whether human or artificial—are indeed better than one.

Interesting moments … 

Short on time? Check out these interesting moments from the conversation …  

00:47 — "I received a text message the other day  from none other than Gemini, Google's multimodal large language model. 

01:50 — "Multimodal is really important with AGI or trying to build systems that can have similar behaviors and capabilities as people and humans."

06:30 — "Like multimodal, having a twin is like viewing a situation from two different perspectives, but still being aligned. And startups are a roller coaster, so it’s really important to have that support system."

17:39 — "Of all the big tech companies—Facebook, Apple, Microsoft, Amazon—it's likely they're all going to need to have best-in-class LLMs."

28:36 — “At the moment, do our agents talk to each other? It depends on what you define as an agent. For our customers, we deploy one agent at a time, so there's really no opportunity for those agents to talk to another agent because they don't have any other agents to talk to yet."

31:25 — “Enterprises are excited and optimistic. They're already accepting the impending positive impact of AI agents, which is why so many are planning integration within the next few years.”

P.S. Need a little levity in your day? Listen to the end of the podcast to hear each episode’s bloopers!

Sources cited 

Apple researchers build multimodal LLM as AI strategy takes shape: https://www.ciodive.com/news/apple-generative-ai-multimodal-LLM-MM1-training/710616/

Autonomous AI workers that talk to each other will arrive in 2025, Capgemini predicts: https://www.cnbc.com/2024/07/22/ai-that-can-talk-with-other-ai-will-launch-in-2025-capgemini-predicts.html

About the guests

Ronan Burke is the co-founder and CEO of Inscribe. He founded Inscribe with his twin after they experienced the challenges of manual review operations and over-burdened risk teams at national banks and fast-growing fintechs. So they set out to alleviate those challenges by deploying safe, scalable, and reliable AI. 

Conor Burke is the co-founder and CTO of Inscribe. He founded Inscribe with his twin after they experienced the challenges of manual review operations and over-burdened risk teams at national banks and fast-growing fintechs. So they set out to alleviate those challenges by deploying safe, scalable, and reliable AI. 

Brianna Valleskey is the head of marketing at Inscribe AI. While her career started in journalism, she has spent more than a decade working on SaaS revenue teams. She is passionate about enabling fraud fighters and risk leaders to unlock the enormous potential of AI.