In this episode of The Due Diligence Show, Adam Jaques and Luke Silcock explore the real-world decisions behind operationalizing AI. Whether you’re building your own stack, renting from a hyperscaler, or experimenting with open-source agents in your office lab, this conversation is your field guide to navigating the modern AI supply chain.

💡 Topics covered:

• Build vs. Buy vs. Borrow — which AI adoption path is right for you?

• Token pricing explained (hint: think arcade economics)

• Model routers, local deployments, and agentic workflows

• Is Microsoft Copilot worth the spend? A brutally honest look

• Avoiding AI sprawl and understanding Model Context Protocol (MCP)

• What OpenAI + Jony Ive could mean for the future of AI hardware

Listen now and make smarter decisions about how your business uses AI — before the architecture, security, and CFO teams come knocking.

Then the pair dives into the growing concern around AI security and trust. Luke walks us through the OWASP Top 10 AI risks — from prompt injection to model theft — and Adam probes whether companies are moving too fast with too little oversight.

If you’re a founder, tech lead, CISO, or just wondering how secure your AI tools really are, this one’s a must-listen.

In this episode of The Due Diligence Show, Adam and Luke dive into the messy middle of AI adoption: the promise of productivity versus the pitfalls of trust. From hallucinated news links to offshoring 2.0, we explore where automation works, where it breaks, and why “just use AI” isn’t a strategy.

You’ll hear:

– Real-world use cases in customer support, marketing, and engineering

– Where LLMs are delivering value — and where they’re faking it

– The shift from outsourcing to AI-sourcing

– What deepfakes, bias, and black box decisions mean for your brand

– Who owns the output — and who gets blamed when it fails

Whether you’re automating workflows, coaching sales teams, or just trying to debug an AI assistant that’s too confident, this episode is a must-listen for anyone navigating AI in the enterprise.

🎧 Also available on YouTube and ThoughtSourceConsulting.com

In this episode:

• What is AI — really — and why does it matter?
• Who are the major players (OpenAI, Google, Anthropic, DeepSeek, and more)?
• How is AI already transforming industries, from tax authorities to creative tools?
• Why GPUs (not CPUs) power today’s AI breakthroughs
• What’s coming next: agentic AI, open-source models, and the competitive edge

Whether you’re just starting to explore AI or knee-deep in the latest models, this episode will get you up to speed — with practical insights and sharp analysis.

HR Alert!! One thing that we love to investigate as part of technical due diligence is organizational structure, teams, and people.  This is an area that contains significant value as part of a technical asset, as well as a substantial amount of risk to ensure a productive future of the potential acquisition.

The Thought Source team discuss all of the areas that are usually investigated, from key product contributors, forecasted investment in people for success, integration considerations, office sprawl and more.

Are the key contributors still employed?  Is the success of a product reliant on one or two people?  Can the team scale to meet your deal thesis? We tell you how we find the answers during technical due diligence

When we undertake technical due diligence, it’s a process that we have honed for decades and source code analysis is a craft that, just like technology itself is ever changing. 

We take you behind the scenes and share some of our “secret sauce”!

There are so many things that can be easily done before a deal is in play. The Thought Source team chat about how often a deal is in the final throws of due diligence and we ask ourselves, why didn’t the buyer know this beforehand?

Whether its competitive intelligence, bake-offs, outside-in reviews, product quality and support analysis, all of these activities can be easily done using publicly available information without the hint of a deal.

In episode 3 of The Due Diligence show, we chat about how the value of Technology due diligence is often a misunderstood area of the M&A process.

Many acquirers consider technology as a "tick box" item that is simply covered contractually, the problem is that if the core tech asset that drives a company's revenue can look great at face value, but can often be poorly executed and unfit for the buyers "deal thesis".

Beyond inspecting the source code asset, there are many complementary activities that the Thought Source team discuss which will bring material information to the other diligence work streams such as customer sentiment, future fit and scale, potential misuse of open source, key contributor retainment, future team investment and more.

Visit us at www.thoughtsourceconsulting.com 

Visit us at www.thoughtsourceconsulting.com