Uploaded February 2026 | Updated September 2026, 2 weeks ago
Most supply chains aren’t fragile because of shocks. They’re fragile because of concentration, opacity, and inertia.
If 60% of your volume sits in one country, resilience is theatre.
In this discussion, I’m joined by Ricky Ho, co-founder and CEO of SourceReady, an AI-driven sourcing platform designed to help organisations identify, evaluate, and diversify suppliers globally. His focus isn’t ERP process management. It’s the upstream decision: who you choose to manufacture your product, and what risks you inherit by doing so.
The core problem is simple: most sourcing remains relationship-driven, directory-driven, or price-driven. That worked in stable conditions. It breaks down under tariff volatility, regulatory scrutiny, climate disruption, and geopolitical risk.
What struck me most is how much latent risk sits beyond tier one. Sanctions exposure, trans-shipping, supplier-of-supplier concentration, legal disputes, compliance gaps - these are not theoretical issues. They are operational risks that surface too late. Ricky’s argument is that AI’s role is not to replace procurement judgement, but to ingest complexity at scale: customs data, certification records, trade flows, and risk signals, then surface trade-offs clearly before decisions are made.
Two points got me thinking. First, the idea of proactively monitoring concentration and recommending diversification before disruption hits. Second, the reminder that price is often the easiest variable to quantify, and the most misleading when considered in isolation. Tariff exposure, lead time risk, regulatory changes and compliance failures are delayed costs. AI can make those visible earlier.
If you’re a procurement, operations, supply chain or risk leader navigating cost pressure while trying to build resilience, this will resonate.
If you’re dealing with supplier concentration or regulatory exposure on the ground, I’d genuinely like to hear how you’re handling it.
🔗 Podcast: resilientsupplychainpodcast.com
🔔 Follow / Subscribe for weekly supply chain resilience insights
Chapters / Timestamps
00:00 – Who takes the fall when AI chooses your supplier?
00:00:22 – The broken model of supplier discovery
00:01:56 – Diversification beyond China: geopolitical risk reality
00:04:52 – Sanctions, trans-shipping and hidden compliance exposure
00:10:14 – Can SMEs afford real supply chain intelligence?
00:13:25 – Transparency vs trust: where supplier data fails
00:18:10 – Real-time tariff volatility and regulatory risk
00:21:12 – Reducing country concentration under pressure
00:26:26 – AI partnership vs human accountability in sourcing
00:32:34 – Proactive resilience vs reactive scrambling
00:34:07 – Why lowest cost often becomes highest risk
Most supply chains aren’t fragile because of shocks. They’re fragile because of concentration, opacity, and inertia.
If 60% of your volume sits in one country, resilience is theatre.
In this discussion, I’m joined by Ricky Ho, co-founder and CEO of SourceReady, an AI-driven sourcing platform designed to help organisations identify, evaluate, and diversify suppliers globally. His focus isn’t ERP process management. It’s the upstream decision: who you choose to manufacture your product, and what risks you inherit by doing so.
The core problem is simple: most sourcing remains relationship-driven, directory-driven, or price-driven. That worked in stable conditions. It breaks down under tariff volatility, regulatory scrutiny, climate disruption, and geopolitical risk.
What struck me most is how much latent risk sits beyond tier one. Sanctions exposure, trans-shipping, supplier-of-supplier concentration, legal disputes, compliance gaps - these are not theoretical issues. They are operational risks that surface too late. Ricky’s argument is that AI’s role is not to replace procurement judgement, but to ingest complexity at scale: customs data, certification records, trade flows, and risk signals, then surface trade-offs clearly before decisions are made.
Two points got me thinking. First, the idea of proactively monitoring concentration and recommending diversification before disruption hits. Second, the reminder that price is often the easiest variable to quantify, and the most misleading when considered in isolation. Tariff exposure, lead time risk, regulatory changes and compliance failures are delayed costs. AI can make those visible earlier.
If you’re a procurement, operations, supply chain or risk leader navigating cost pressure while trying to build resilience, this will resonate.
If you’re dealing with supplier concentration or regulatory exposure on the ground, I’d genuinely like to hear how you’re handling it.
🔗 Podcast: resilientsupplychainpodcast.com
🔔 Follow / Subscribe for weekly supply chain resilience insights
Chapters / Timestamps
00:00 – Who takes the fall when AI chooses your supplier?
00:00:22 – The broken model of supplier discovery
00:01:56 – Diversification beyond China: geopolitical risk reality
00:04:52 – Sanctions, trans-shipping and hidden compliance exposure
00:10:14 – Can SMEs afford real supply chain intelligence?
00:13:25 – Transparency vs trust: where supplier data fails
00:18:10 – Real-time tariff volatility and regulatory risk
00:21:12 – Reducing country concentration under pressure
00:26:26 – AI partnership vs human accountability in sourcing
00:32:34 – Proactive resilience vs reactive scrambling
00:34:07 – Why lowest cost often becomes highest risk
