Show Notes
Subscribe to AI Agents Podcast Channel: https://link.jotform.com/subscribe-to-podcast In this episode of the AI Agents Podcast, host Demetri Panici sits down with David Wong, Chief Product Officer at Thomson Reuters, to explore how AI agents are starting to reshape legal, tax, audit, and other professional services industries.
They discuss how Thomson Reuters evolved far beyond its well-known news brand into a software and research powerhouse for lawyers, accountants, tax professionals, and risk teams — and why AI is now becoming one of the biggest technological shifts those industries have ever seen.
David shares his journey from engineering, consulting, and ad systems into leading product at Thomson Reuters, along with how his team tested early GPT models on legal research years ago and watched the technology go from failing badly to becoming good enough for serious professional use cases.
Demetri and David also break down how AI can help with legal research, tax preparation, compliance work, and document-heavy workflows, why tax is such a strong fit for AI systems, and how the future of professional services may involve smaller teams supported by highly capable AI agents.
This episode is a must-watch for anyone interested in AI agents, legal tech, tax automation, enterprise workflows, and the future of knowledge work — especially if you want to understand how AI is beginning to transform industries built on expertise, research, and structured judgment. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS:00:00 – Smaller teams powered by AI agents 00:52 – Meet David Wong, Chief Product Officer at Thomson Reuters 01:49 – David’s background and journey into product leadership 03:24 – What Thomson Reuters actually does beyond news 06:02 – Early exposure to AI and machine learning 08:39 – Testing GPT-3 on legal research years before the boom 10:20 – Where AI helps in legal research and written work 13:55 – How AI applies to tax preparation and compliance 24:00 – Teaching AI to use tools instead of “doing the math” 33:48 – How AI could flatten team structures in professional services 47:23 – Where to learn more about Thomson Reuters and CoCounsel ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Sign up for free ➡️ https://www.jotform.com/▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Follow us on:Twitter ➡️ https://x.com/aiagentspodcastInstagram ➡️ https://www.instagram.com/aiagentspodcast TikTok ➡️ https://www.tiktok.com/@aiagentspodcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
More from AI Agents Podcast
Subscribe to AI Agents Podcast Channel: https://link.jotform.com/subscribe-to-podcast In this episode of the AI Agents Podcast, host Demetri Panici sits down with Aidan Mirza, founder and CEO of Fellow, to explore how AI is transforming meetings into actionable organizational intelligence. Aidan shares the story behind Fellow’s evolution from a meeting management platform into an AI-powered workplace assistant that helps teams prepare better, capture context, automate workflows, and execute on decisions faster. They also dive into proactive AI, MCP integrations, meeting automation, AI-powered productivity, and the future of organizations where conversations become reusable knowledge. If you want to understand how AI is changing meetings, collaboration, and workplace efficiency, this episode is worth watching. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ⏰ TIMESTAMPS: 00:00 – The rise of proactive AI assistants 02:03 – Aidan’s journey from SurveyMonkey to Fellow 03:21 – How AI reinvented the meetings industry 05:23 – Meeting bots, privacy, and workplace trust 11:09 – AI-powered meeting prep and real-time assistance 14:06 – Building an AI chief of staff for every employee 18:02 – The 10-star framework for designing AI products 22:27 – Integrations, MCP, and connected AI workflows 30:33 – Automating work from meetings to execution 40:56 – Why context is the most valuable asset in AI ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Learn more about Fellow ➡️ https://fellow.app/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Follow us on: Twitter ➡️ https://x.com/aiagentspodcast Instagram ➡️ https://www.instagram.com/aiagentspodcast TikTok ➡️ https://www.tiktok.com/@aiagentspodcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Subscribe to AI Agents Podcast Channel: https://link.jotform.com/subscribe-to-podcast
Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcast In this episode of the AI Agents Podcast, host Demetri Panici sits down with a healthcare AI consultant and operator to explore how AI is transforming patient care, addiction recovery, and provider workflows. They discuss the growing burden on healthcare workers, why AI note-taking tools are becoming essential, and how workflow automation could help reduce burnout across the medical industry. The conversation also dives into addiction treatment, medication adherence, insurance reimbursement challenges, and the real-world barriers preventing healthcare AI from scaling faster. If you want to understand where AI is actually delivering value in healthcare today—and where the industry still has a long way to go—this episode is worth watching. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ⏰ TIMESTAMPS: 00:00 – AI as a workflow compressor in healthcare 01:04 – Medication adherence and addiction recovery challenges 02:13 – How their platform differs from consumer solutions 04:17 – Designing simple AI tools for patients and providers 05:10 – Long-term vision for healthcare and medication management 07:23 – AI note-taking, provider burnout, and healthcare workflows 11:24 – Risks of hallucinations and AI memory in medical care 13:47 – How AI can improve healthcare efficiency and patient outcomes 16:16 – Insurance, reimbursement, and why healthcare AI adoption is slow 29:16 – Will AI replace jobs or create better work? ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Sign up for free ➡️ https://link.jotform.com/eCGiU1nteQ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Follow us on: Twitter ➡️ https://x.com/aiagentspodcastInstagram ➡️ https://www.instagram.com/aiagentspodcastTikTok ➡️ https://www.tiktok.com/@aiagentspodcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Subscribe to AI Agents Podcast Channel: https://link.jotform.com/subscribe-to-podcast In this episode of the AI Agents Podcast, host Demetri Panici sits down with Brendan Norman, co-founder and CEO of Classify, to explore how contextual intelligence is becoming a foundational layer for AI agents. Brendan breaks down how Classify helps machines understand content at a deeper, more human-like level—and why that matters for everything from advertising to autonomous agents. They also dive into how AI is reshaping small teams, why agents still struggle with consistency, and what’s really happening behind the scenes as infrastructure evolves. If you want to understand the next layer of AI beyond models—the systems that make them actually useful—this episode is worth watching. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ⏰ TIMESTAMPS: 00:00 – Why understanding AI is constantly evolving 02:28 – Brendan’s background and building Classify 05:05 – Agents vs bots and how AI systems interact 08:12 – The missing layer: contextual intelligence 13:16 – Do AI models actually understand language? 19:19 – AI workflows, Claude, and productivity tools 24:11 – Building faster with AI as a small team 30:18 – Opportunities for startups in the AI era 36:38 – Explaining AI in a rapidly changing market 49:08 – Are we approaching the AI singularity? ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Sign up to learn more ➡️ https://www.tri-classify.com/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Follow us on: Twitter ➡️ https://x.com/aiagentspodcast Instagram ➡️ https://www.instagram.com/aiagentspodcast TikTok ➡️ https://www.tiktok.com/@aiagentspodcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcast Every major tech shift follows the same pattern: one side says it’ll change the world overnight, the other says it’ll destroy everything. AI is no different—and both sides are usually wrong. In this episode of the AI Agents Podcast, Rade Kovacevic (CEO of Polar Grid) breaks down what actually happens during massive market cycles, why AI progress feels chaotic, and where real value is being built right now. We dive into the future of real-time AI, why latency is the hidden bottleneck, and how technologies like voice agents, edge computing, and AI infrastructure will shape the next wave of products. If you want a grounded, no-hype perspective on AI’s future—this episode is for you. Timestamps: 00:00 – Why viral AI takes are always extreme 02:00 – Rade’s background & building companies early 05:30 – The real problem with AI today: latency 09:30 – Why AI feels slow (and why it matters) 13:30 – Voice agents & real-time interaction challenges 18:00 – Where AI is going next (voice → video → gaming) 24:30 – AI hype vs reality in every market cycle 29:00 – Will AI replace jobs or just change them? 38:00 – How companies are hiring in the AI era 47:00 – The future of AI agents & human productivity ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Sign up for free ➡️ https://www.jotform.com/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Follow us on: Twitter ➡️ https://x.com/aiagentspodcast Instagram ➡️ https://www.instagram.com/aiagentspodcast TikTok ➡️ https://www.tiktok.com/@aiagentspodcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬