AI for procurement teams: supplier data, spend visibility and sourcing
Procurement
Native builds AI agents that give procurement one view of spend and supplier risk, answer questions in plain English and prepare sourcing work for buyers.
Where AI has an impact in procurement
Spend questions
Leaders ask in plain English and get an answer from live data in seconds.
Spend classification
Every line mapped to a category, so the spend cube is complete.
Supplier risk
Exposure scored per supplier, with issues above threshold sent to an owner.
Supplier reports
Full supplier profiles with charts, produced on demand.
- RFP drafting
- Bid comparison
- Supplier onboarding
- Contract compliance
AI helps a procurement team by pulling spend and supplier data from every system into one place, answering questions about it in plain English and surfacing risk before it becomes an escalation. Native builds those agents on the data infrastructure you already run. At Pierpont Holdings, agents query 2.7M records in 11 seconds on existing Microsoft SQL.
Case study · Pierpont Holdings
Pierpont Holdings gave its procurement leaders one view of 2.7M records.
Native helped Pierpont build EP2, three AI agents on its existing Microsoft SQL infrastructure, so procurement leaders can see revenue at risk, ask questions in plain English, and pull supplier reports on demand.
Frequently asked questions
How can AI help a procurement team?
AI joins spend and supplier data, answers questions in plain English, flags supplier risk with an owner, writes supplier reports and prepares sourcing events. Buyers keep negotiation, awards and supplier relationships.
Can AI analyse procurement spend?
Yes. Agents classify spend and turn plain-English questions into checked database queries. At Pierpont Holdings they query 2.7M records in 11 seconds.
Do we need a new procurement platform to use AI?
No. Agents run on the databases and tools you already have. Pierpont's three agents run on its existing Microsoft SQL infrastructure.
How does AI help with supplier risk?
It scores each supplier's exposure from your own data, calculates the money at stake and sends only issues above set thresholds to the accountable owner, so risk surfaces in seconds rather than at the next review.
