We Just Launched AI Workforce. Here's What Happened.

Today, we launched LightSource AI Workforce. The message was simple: the sourcing process no longer has to be manual.

Over the past 25 years, indirect procurement got software. Direct materials sourcing got spreadsheets, email, and a lot of follow-up calls. We showed why that changes now, and what changed in the product to make it work. Read full press release here.

The Five Capabilities

AI Workforce runs across five stages of the sourcing cycle, each one built to execute work, not just suggest it.

Item Ingestion. Most BOMs don't arrive sourcing-ready. You drop a file in, and the system cleans and structures the data automatically. No manual mapping, no multi-week prep work. The AI understands your item data the way your team does.

RFX Setup. Two weeks of scoping, designing bid sheets, and prepping supplier packages now takes 15 minutes. The system generates RFX templates based on past projects and your category context. You review, adjust, and send.

Supplier Activation. Your team doesn't chase suppliers anymore. LightSource does. The system activates your supplier list, sends packages, tracks status, and flags gaps without anyone manually following up.

Ask LightSource. Real-time analytics on any RFQ, any program. A global automotive supplier in our case study went from spending 20-30% of their program management time mining data to pulling full status reports in minutes. One question answered what used to take a week of analysis.

Award Optimization. The system models award scenarios against your constraints: cost, location, lead time, supplier concentration. It shows you the tradeoffs so you can decide. The math is real, not estimated.

The Architecture Matters

We spent time on why this works where bolt-on AI tools don't. Three things have to be true for enterprise AI to be trustworthy.

The AI has context. It works from your data: your supplier history, your past quote formats, your items and programs. When it builds an RFX, it's not starting from zero.

The AI is grounded. It retrieves real numbers instead of generating approximations. That separation between retrieval and transformation is what keeps hallucination away from your numbers.

The AI executes. It doesn't just answer questions. It ingests the BOM, configures the RFX, chases the suppliers, and optimizes the award inside the system where decisions actually get made.

The Numbers

65% faster sourcing cycles, start to finish. 3-5% savings uplift on average. Live in days instead of months. These are production numbers from real teams, not pilots. One customer took $10M out of their BOM costs in nine months.

A global automotive supplier processed 100+ RFQs per week at peak. Program management was spending 20-30% of their capacity on manual tracking. With Ask LightSource, a week of data mining became a full status report in minutes. Root cause analysis that used to take days now takes minutes.

What Gets Freed Up

This isn't about replacing your team. It's about what your team spends time on. When the AI handles the tactical work (data cleanup, RFX setup, supplier chasing, scenario modeling), your procurement leaders spend time on strategy. Supplier consolidation. Category risk. Deal structure. The decisions that actually move the needle.

Watch the Full Demo

If you want to see this running end-to-end on real program data, the full webinar recording is available now. Idan Mintz, our CTO, walks through the architecture. Anya Korbut, our solutions engineer, runs the live demo. No script, no polish, just the work getting done.

Watch the replay

Next Step

If this applies to your sourcing operation, book a demo. We'll walk through your program data, not an example. You'll see how the system handles your complexity, your suppliers, your constraints.

Request a demo or explore the platform

LightSource AI Workforce is live now. If you lead sourcing for automotive, electronics, space, or data infrastructure, the window to make an OS decision instead of accumulating point tools is now.