George BandarianAI Innovator & Venture Leader Driving Future Technologies

The AI Agent Getting More Supplier Data in 5 Weeks Than a Team Did in 2 Years

Name: The AI Agent Getting More Supplier Data in 5 Weeks Than a Team Did in 2 Years
Uploaded: 2026-07-21T16:00:24+00:00
Duration: 1 min 50 s
Channel: George Bandarian
Description: In this monologue, the speaker explains that while fully automating complex AI hardware procurement is not yet possible, pairing domain experts with…

21 Jul 2026 · 2 min

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In this monologue, the speaker explains that while fully automating complex AI hardware procurement is not yet possible, pairing domain experts with autonomous agents can dramatically reduce human coordination overhead. The team built an autonomous email‑based agent for Western Digital’s procurement department to collect data from tier‑1 suppliers. Previously, gathering supplier information took two years to achieve only 20‑30% response rates, consuming about 30% of the procurement team’s weekly workload. After deploying the agent, within five weeks 58% of suppliers completed the data collection and 78% responded, with 377 email exchanges handled entirely through native email workflows. The agent mimics an expert consultant, answering supplier questions about materials and requirements, and its performance impressed suppliers enough that some asked to deploy the agent in their own organizations.

Chapters

When you talk about how autonomous agents are helpful, obviously this entire process in our industry is super complex around how you build AI hardware. So you can't actually totally solve it with AI agents just yet. So the way to do it today that's different from software, again, which is fixed UX/UI, you have to go in and click buttons, it's about pairing experts on our team into every part of this process. And as you build agents, you start unlocking, I guess, removing the coordination tax of humans, the human API across all these different systems. Systems, right? And you start enabling them to start making their own decisions. One use case that we have actually recently just launched with Western Digital, we actually created an autonomous agent for data collection for their procurement teams. Whereas previously they had, you know, 100 or so plus of their tier 1 suppliers where their procurement teams spent, you know, 30% of their entire week on just supplier follow-ups. And it took them, the first time they did this, I think, 2 years to get 20 to 30% of their suppliers to actually respond fully and get all the data. We launched our agent and actually within 5 weeks got 58% of the suppliers actually completed the exercise and 78% actually responded. And it's totally via email, they don't have to log into our system, it goes into their native workflow and totally follows how an expert consultant would run that entire process. In fact, the agent could even answer questions like, Oh, what is this particular material? Why do I have to respond to this? Why is this important? How do I— and it can answer all of those questions. And in the span of 4 to 5 weeks, there was 377 emails that were exchanged. And the supplier team were so shocked by the responses that actually some of the suppliers wrote to us and was like, can we deploy this in our organization?