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What does it actually take to convince investors that construction procurement — a process still largely run on spreadsheets, email chains and gut feel — is the next frontier for AI? ProcurePro just answered that question with a $15 million raise, and Alistair Blenkin came back on the show to unpack what the funding signals about the industry, where AI is genuinely useful in procurement today, and where it's still very much a work in progress.
The conversation moves quickly from the headline number into the architecture underneath it. Alistair is refreshingly clear-eyed about where deterministic systems beat generative ones, why narrow AI tools currently outperform general-purpose chatbots for procurement decisions, and how ProcurePro is layering AI on top of structured data rather than asking models to guess at it. There's a strong thread running through the episode about trust — trust in the data, trust in the system's permissions and governance, and trust between humans when AI starts handling the parts of negotiation that used to need a phone call.
The future Alistair sketches looks a lot like an "insurance comparison site for construction supply" — programmatic pricing, real-time market data, and AI agents doing quote levelling at a scale no human team could match. He's equally candid about what funding really buys: not a marketing budget, but the runway to keep building deterministic infrastructure, dedicated product squads, and the kind of governance layer enterprise contractors actually need before they'll trust AI inside their procurement stack.
Towards the back end of the chat the conversation turns to people. Alistair talks about how the role of the engineer is shifting under AI, how job descriptions need rewriting, and why the human work of bookending an AI workflow — setting it up well, sanity-checking what comes out — is becoming the differentiator. The punchline is human: control and visibility for the people running the project remain the things that actually move contractors forward.
Takeaways
AI in construction is moving from scattered pilots into structured, strategic implementation.
Deterministic systems — not generative AI — are what build trust around critical project data.
Procurement is shifting from manual spreadsheets to real-time, programmatic supply chain pricing.
Narrow, purpose-built AI tools currently beat general-purpose chatbots inside specific workflows.
Governance, permissions and enterprise-grade security are non-negotiable for AI at scale.
The role of the engineer is changing — AI automates the rote, humans orchestrate the system.
Dedicated product squads are the antidote to AI features that step on each other.
Control and visibility, not novelty, are still the things contractors actually buy.
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All content reflects our personal views and is not intended as professional advice or to represent any organisation.
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