Evidence before autonomy
Source records, structured fields and visible exceptions make procurement automation more useful and more trustworthy.
Read the system brief ↗Differentiator · sourcing systems
Procurement intelligence for decisions that cannot wait.
Sourcing teams lose time when supplier research, part data, RFQs and follow-up live in disconnected workstreams. We design the intelligence and automation layer that makes the opportunity visible.
The operating problem
RESEARCH IS
ONLY VALUABLE
WHEN IT REACHES
THE DECISION.
Procurement requires more than scraping names. A useful system preserves source evidence, normalizes part and supplier information, compares options, routes RFQs and makes the next action obvious.
System components
- BOM and part-list intake
- Supplier discovery and evidence capture
- Catalog and availability data structures
- RFQ generation, routing and status
- Human review for risk and commercial judgment
AI can accelerate research and coordination while buyers retain control of commitments, quality checks and supplier relationships.
Selected work
BUILT AROUND
THE WORKFLOW.
Make the next action obvious.
Systems should connect evidence to decisions and decisions to execution without hiding the judgment involved.
Discuss a sourcing system ↗