Episodes
18
Latest episode
Oct 2026
Language
EN
The Soligence Podcast gives leaders short, practical AI insights every week. It's made for private equity firms, insurance carriers, and businesses with similar operating challenges. Each episode takes one idea from our work and makes it usable. Some come from client engagements: what we learned replacing a legacy CRM with Argus360, how an agentic system turned a month of first-pass RFP review into minutes, and what it took to build and integrate an insurance carrier's agent management system in 12 weeks. Others build on our blog. Topics include why better AI models are like better cameras when what you really need is a great director, why companies keep designing AI agents to work like employees, and why AI projects still fail for the same old reasons. Everything we discuss draws on systems we've built for clients and run in our own operations. You'll hear what works, what doesn't work yet, and what you can act on this quarter. We skip the hype and spend a few focused minutes on turning AI into measurable business results.
Alex and Jordan on agent control and governance: five controls for agents that work around the clock with real credentials, and why the watcher cannot be the agent itself. Show notes: https://soligence.ai https://www.soligenceadvisors.com
An AI answer is a starting point, not a decision — ask what it's based on, and what would change your mind, before acting on it. Show notes: https://soligenceadvisors.com/solena.php https://www.soligenceadvisors.com https://soligence.ai
The Financial Times reports Anthropic is teaming with Hg, the European software investor, to launch a consultancy embedding AI engineers in European businesses — the third lab-backed implementation venture this year, after Ode (Anthropic with Blackstone and Hellman & Friedman) and the OpenAI Deployment Company (TPG, Advent, Bain Capital, Brookfield). Alex and Jordan on what these deals confirm: the model was never the bottleneck — implementation is. Private equity is the channel because AI-driven revenue growth and cost-out flow straight into IRR. And a lab-owned implementer is model-dependent by construction; in a market where the best model changes every few months, independence is the edge Soligence was built on — platform- and model-agnostic implementation for private equity and insurance. Show notes: Soligence — https://www.soligence.ai Soligence Advisors — https://soligenceadvisors.com
When an AI project fails, the AI gets the blame — but the real causes are the same old ones: unclear scope, misunderstood data, and demo-only success. AI is the largest-ever reduction in the accident of building, but it does not decide what to build. The teams getting the most from AI still do the boring parts right: requirements, data quality, scope, testing, and adoption. Show notes: - There Is Still No Silver Bullet: Why AI Projects Fail for the Same Old Reasons — https://soligenceadvisors.com/blog-no-silver-bullet.php - Soligence Advisors — https://www.soligenceadvisors.com
Alex and Jordan on the unglamorous truth about AI agents — judge them by their operational controls (monitoring, ownership, real-world run time), not by the demo. Show notes: - Soligence offerings (Agent Command Center, Solera agent foundation, Elevate training): https://soligence.ai/offerings.php - Soligence homepage: https://soligence.ai - Soligence Advisors homepage: https://soligenceadvisors.com
Alex and Jordan unpack Soligence's new post on AI slop: why everyone is drowning in it, and the three things that actually help. Show notes: - Blog post: https://soligenceadvisors.com/blog-drowning-in-slop.php - Soligence Advisors: https://www.soligenceadvisors.com - Soligence: https://soligence.ai
As technology evolves at blinding speeds, so too does the world of cybersecurity. But is online security keeping up with the demands of this digital age? Today we are joined by Bruce Schneier, a public-interest technologist working at the intersection of security, technology, and people. Known as the "security guru", Bruce has written over twelve books and hundreds of articles, essays, and academic papers, and he joins us today to share his thoughts on the current state of online security. We learn about Bruce's professional background and interests before diving into the biggest security threats and challenges that business leaders face today. We unpack the role of AI in cybersecurity, where cryptography fits in, why national cybersecurity vulnerabilities are a bigger concern than many realize, and the role of new technology in building or breaking trust in this digital age. We end by examining the possible future of digital rights management, and Bruce shares some helpful advice for all Chief Information Officers to keep top-of-mind. Key Points From This Episode: Bruce Schneier details his professional background and interests. Why he prioritizes privacy in his downtime. The biggest security threats and challenges that businesses face today. How AI has influenced online security protocols, and the role of cryptography. The way cryptography has evolved, and what business leaders should be paying attention to. Understanding the role of cryptography in identifying deep fakes. Why everyday citizens should be more concerned about national cybersecurity vulnerabilities. How new technology in this digital age can either help to build trust or break it. Bruce shares his thoughts on the future of digital rights management. What keeps him up at night, how he processes these thoughts, and His final words of advice for all CIOs. Links Mentioned in Today's Episode: Bruce Schneier Bruce Schneier on X Bruce Schneier Books on Amazon Schneier on Security Harvard Kennedy School Solid Project Tim Berners-Lee Adam Granoff on LinkedIn Nishit Sadhwani on LinkedIn Deep Takes, Not Fakes Deep Takes, Not Fakes on Instagram Deep Takes, Not Fakes on Facebook Deep Takes, Not Fakes on X
Are you prepared for the sweeping changes AI will bring to your organization? In this episode, we welcome back Roxane Googin to unpack the ins and outs of generative AI and how organizations need to prepare for the inevitable grip of the technology. Roxane is a renowned authority on macroeconomic technology trends and the Chief Futurist at Group 11; a prominent FinTech investor in Silicon Valley. Roxane's bold predictions, including the internet boom and the rise of smartphones and cloud computing, have solidified her reputation as a leading futurist in the industry. In our conversation, we unpack why some companies will not make it through the AI revolution, the pitfalls of generative AI, and why generative AI is not good for solving the 'mushy middle' problems. Explore the potential role of AI in cybersecurity, the evolution of the technology and AI landscape, how organizations need to adapt to the new era of business, and why smaller companies will become the norm. Gain insights into the fundamentals of harnessing data for AI effectively, why data storage is becoming a problem, how AI can help with Climate Change solutions, and more. Tune in and discover how to navigate the future of technology and business with Roxane Googin! Key Points From This Episode: Roxane explains the pros and cons of AI for small and large businesses. Learn about the best and most successful use cases of generative AI. Ways leaders can encourage the adoption of AI within their organizations. The evolution of the tech industry and why you cannot rely on traditional systems. What advantages small businesses have over large corporations in the AI era. Discover how AI opens the door for disruptive and innovative startups. Data fundamentals and how companies should approach managing their data. Hear about the market gaps and opportunities the problem of storage offers. She shares her perspective on Climate Change and how AI can help. Final takeaways and game-changing technology on the horizon. Links Mentioned in Today's Episode: Roxane Googin Bio Group 11 Episode 10: Roxane Googin Predicts the Future of AI Link Capital Partners High Tech Observer Hammerspace Adam Granoff on LinkedIn Dave Castellani on LinkedIn Deep Takes, Not Fakes Deep Takes, Not Fakes on Instagram Deep Takes, Not Fakes on Facebook Deep Takes, Not Fakes on X
Advances in AI, machine learning, and other technologies have dramatically accelerated the pace of change. In recent years, the convergence of technology and healthcare has led to groundbreaking advancements, especially in supporting children with autism. In today's episode, you'll hear from Darryl Agostinelli, Chief Technology Officer at The New England Center for Children (NECC), where he spearheads initiatives in IT infrastructure, automation, and cybersecurity at NECC. In this episode, he explains how NECC is leveraging technology to build a global network of educators, researchers, and programs aimed at helping individuals with autism lead fuller lives. Join us as we explore the impact of AI on enhancing autism services for kids and delve into futuristic-sounding concepts like technological singularity, superconductivity, quantum supercomputing, and more! Key Points From This Episode: An introduction to Darryl, his passions for both work and play, and his role at NECC. Insight into NECC's ACE (Autism Curriculum Encyclopedia) ABA Software System. How AI will augment NECC's programs and educational tools. Defining "the singularity" and why it's important for everyone to understand. The risk introduced by singularity and its impact on the world around us. Some of the implications and applications of superconductivity. Quantum supercomputers: what are they and what problems can they solve? Reasons that Darryl remains optimistic about technological innovation. The concerning impact that AI could have on our critical reasoning skills. Links Mentioned in Today's Episode: Darryl Agostinelli Darryl Agostinelli on LinkedIn Darryl Agostinelli on GitHub The New England Center for Children The Singularity is Near Google Brain Adam Granoff on LinkedIn Dave Castellani on LinkedIn Deep Takes, Not Fakes Deep Takes, Not Fakes on Instagram Deep Takes, Not Fakes on Facebook Deep Takes, Not Fakes on X
How can we integrate AI into an organization's overall strategy to maximize its benefits? In this episode, we continue our deeper takes conversations with guest host Nishit Sadhwani, Corporate Vice President at New York Life Insurance Company, to discuss how the rapid development of generative AI is impacting businesses and the role of CIOs and entrepreneurs in driving innovation. We unpack how AI is disrupting the business landscape – from start-ups to large enterprise organizations – and its impact on innovation, competition and organizational structure, before taking a closer look at how to embrace AI tools for enhanced productivity. Our conversation also investigates the entrepreneurial opportunities created by AI, why larger companies should consider strategic partnerships with startups to accelerate innovation, and much more. For a deep dive into our perspectives on driving innovation and how CIOs and entrepreneurs should be integrating AI for maximum benefit, be sure to tune in! Key Points From This Episode: How CIOs should approach AI integration for maximum benefits. CIOs' leadership role in demystifying technology for business use. How AI democratizes power and empowers individuals. An overview of the entrepreneurial opportunities created by AI. Challenges that entrepreneurs are going to face in the new world of AI. Ways that AI will generate faster innovation and greater competition. Why disruption is inevitable: the importance of businesses' willingness to pivot. Adapting business models to leverage AI technologies and stay competitive. How organizations need to rethink their partnerships. Expected radical changes in how tech organizations are structured due to AI. AI's impact on the workforce, collaboration, and automation. Embracing AI tools to enhance productivity and stay ahead of the competition. Links Mentioned in Today's Episode: Nishit Sadhwani on LinkedIn Nishit Sadhwani on X New York Life Insurance Company Episode – Deeper Takes 1 with Nishit Sadhwani: Balancing Innovation and Risk Episode – Deeper Takes 2 with Nishit Sadhwani: Unlocking the Power of Data Elon Musk Adam Granoff on LinkedIn Dave Castellani on LinkedIn Deep Takes, Not Fakes Deep Takes, Not Fakes on Instagram Deep Takes, Not Fakes on Facebook Deep Takes, Not Fakes on X
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Alexander Spencer
