How do you get AI into your business without blowing the budget or locking yourself into a vendor you’ll regret later?

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.

In Episode 3 of The Due Diligence Show (Season 2), Adam and Luke get candid about the AI skills shift that’s already reshaping the workplace. From drop-in replacements for white-collar workers to agentic AI that codes entire apps solo, this episode unpacks how job roles are being augmented — or outright redefined.

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.

AI can boost your business. But can you trust it?

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