AI Can Find Suppliers. Humans Still Own the Risk

Send me a message

In this episode of the Resilient Supply Chain Podcast, I’m joined by Ricky Ho, Founder of SourceReady, to explore how AI is reshaping sourcing, supplier discovery, and supply chain resilience in an era of tariff shocks, sanctions risk, and geopolitical uncertainty.

We unpack why sourcing is still stubbornly relationship-driven, and why that’s becoming a structural risk. You’ll hear how AI can scan customs data, certifications, sanction lists and even supplier-of-supplier exposure to surface risks most teams never see. We break down why over-concentration in one country isn’t just a cost issue, but a resilience issue, and how AI can proactively flag dependency before disruption hits.

Ricky explains how automation can handle the heavy lifting of supplier outreach, tariff analysis, and compliance checks, while humans retain accountability and judgement. You might be surprised to learn how granular today’s customs visibility really is down to individual shipments, and what that means for transparency.

If supply chain resilience, sustainability, supplier risk, and data visibility are on your radar, this conversation is for you.

Listen now to hear how Ricky and SourceReady are rethinking AI’s role in building more resilient, diversified supply chains.

Support the show

Podcast supporters
I'd like to sincerely thank this podcast's generous Subscribers:

• Alicia Farag
• Kieran Ognev
• Gary Lynch

And remember you too can become a Resilient Supply Chain+ subscriber  - it is really easy and hugely important as it will enable me to continue to create more excellent episodes like this one and give you access to bonus episodes of topical, timely supply chain resilience analysis.

Podcast Sponsorship Opportunities:
If you/your organisation is interested in sponsoring this podcast - I have several options available. Let's talk!

Finally
If you have any comments/suggestions or questions for the podcast - feel free to just send me a direct message on LinkedIn, or send me a text message using this link.

If you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover it. 

Thanks for listening.