The Soligence Podcast

Alex and Jordan on the AI race no one may win: why models might end up more like gas stations than search, and why the real lock-in is moving up to the agent layer — so own the layer where your business runs and let the model underneath change.

Show Notes: - What If No One Wins?: https://soligenceadvisors.com/blog-what-if-no-one-wins.php - Soligence: https://soligence.ai - Soligence Advisors: https://www.soligenceadvisors.com

Alex and Jordan on the army of one mind: when identical agents help, when sameness hurts, and the four fixes for additive, averaging, best-idea, and weakest-link work.

Show Notes: https://soligenceadvisors.com/blog-army-of-one-mind.php https://soligence.ai https://www.soligenceadvisors.com

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

The first episode: Alex and Jordan introduce The Soligence Podcast and look at the Argus360 roadmap — Deal Execution and PortCo Health modules on one shared knowledge foundation.

Show notes:

- Argus360: https://soligenceadvisors.com/argus.php

- Soligence Advisors: https://www.soligenceadvisors.com

- Soligence: https://soligence.ai

What does it take to foster innovation and thrive in the age of AI? In this episode, we welcome Michael Todasco to explore the transformative potential of AI. Mike is a Visiting Fellow at the James Silberrad Brown Center for Artificial Intelligence at San Diego State University and an AI writer and advisor. In our conversation, we unpack the cultural and organizational barriers to innovation, discuss how organizations can learn from past failures, and hear why embracing failure is key to innovation. We explore common AI misconceptions, practical strategies for integrating AI into everyday workflows, and the future of education and employment in an AI-driven world. Mike also shares unique insights from his career, including lessons learned from PayPal's innovation initiatives, his journey into AI, and why embracing failure is crucial for progress. Join us for thought-provoking perspectives on navigating the evolving business and technology landscape with Mike Todasco. Tune in now!

Key Points From This Episode:

• Mike's career journey from accounting to innovating leadership at PayPal.
• Discover how failure and experimentation drive innovation in organizations.
• PayPal's "innovation graveyard" and lessons learned from past product failures.
• Hear about Mike's first experience with GPT-3 and how it sparked his passion for AI.
• Leveraging AI tools like ChatGPT and Claude to explore their capabilities and limitations.
• Recommendations for CIOs and CTOs to encourage AI adoption and experimentation.
• Steps for creating a culture of AI innovation through team sharing and open discussions.
• Learn about balancing human creativity with AI's role as a co-pilot in the creative process.
• The future of entertainment: personalized AI content versus community experiences.
• How students view the opportunities and uncertainties of an AI-driven future.
• Explore the future impact of AI on the education and training of students.
• Find out what about AI and technology keeps Mike optimistic about the future.
• Essential considerations and concerns about implementing AI into workflows.

Links Mentioned in Today's Episode:

Michael (Mike) Todasco on LinkedIn

James Silberrad Brown Center for Artificial Intelligence at SDSU

PayPal

ChatGPT

Claude

Midjourney

'Ben Affleck on How AI Will or Will Not Impact Hollywood'

Adam Granoff on LinkedIn

Dave Castellani on LinkedIn

Deep Takes, Not Fakes

Deep Takes, Not Fakes on Facebook