Level the price you pay
Magentic finds where the same item costs more at one site than another, then helps you move everyone onto the best price.

Consolidate suppliers
Magentic finds duplicate suppliers for the same spend and helps you consolidate them into one better deal.

Find cheaper alternatives
Magentic finds a cheaper equivalent and lines up the switch, so the saving gets captured, not just spotted.

Runs the whole job
Magentic takes a whole task from start to finish, from reviewing the spend to drafting and sending the supplier ask.

Buy on the best terms
Magentic checks each purchase, catches anything off-contract, and steers it to the approved supplier and price before the order goes out.

Recover leaked value
Magentic catches overpayments across years of orders and builds the claim to get the cash back.

Reclaim with evidence
Magentic works each recovery case end to end and assembles the evidence to reclaim the cash from the supplier.

Reconcile against reality
Magentic matches every order to what actually happened and resolves the discrepancies it finds.

Reads every contract
Magentic pulls the terms out of every supplier agreement and holds each purchase to them.

Catch price breaches
Magentic reviews thousands of items, catches every price breach, and takes the fix through to the supplier.

Built on your data
Magentic turns your contracts, ERP, invoices and spreadsheets into one model AI agents can act on

The AI use cases with the most tangible P&L impact in procurement
1,200,000
Orders processed by digital workers for one customer
$75M
Average annual opportunity for an enterprise procurement team
60%
Average improvement in data quality
WEEK 1
Kickoff & scope
Agree challenges and goals, select the first use cases
WEEK 2
Data transfer & model build
Provide the agreed data so Magentic AI digital workers can start to think through it.
WEEK 3
Validate data & rules
Review early findings and refine the levers that translate findings into action.
WEEK 4
Scale
Expand the impact across the company by pulling in more spend and directing the digital workers to cover that too.
