Read Every Quote, Contract, and Invoice In Minutes
Custom AI for source-to-pay: supplier documents parsed on arrival, bids compared line by line, contract terms surfaced before renewal, and off-contract spend caught the week it happens.
How it works
Procurement is a document problem wearing a strategy job description. Buyers who should be negotiating spend their week rekeying quotes into comparison grids, hunting for the indemnity clause in a 60-page MSA, and finding out in the quarterly review that engineering bought $400K of software outside contract. We build AI that reads supplier documents the moment they arrive, normalizes bids so they are genuinely comparable, and watches spend and supplier health continuously - inside your ERP, on your commodity taxonomy, owned by you.
Supplier Document Intake & Extraction
Every document a supplier sends - quote, PO acknowledgement, invoice, certificate, spec sheet - parsed, validated, and posted without a buyer retyping it.
- Line-item extraction from PDFs, scans, spreadsheets, and email bodies, including multi-page quotes with tiered pricing
- Three-way match against PO and receipt with tolerance rules, and exceptions routed with the discrepancy already explained
- Supplier onboarding packets checked automatically for W-9s, insurance certificates, ISO and quality certs, and expiry dates
- Confidence scoring per field so only genuinely ambiguous extractions reach a human queue
Bid Comparison & Spend Classification
Bids normalized to a like-for-like grid, and every transaction mapped to your commodity taxonomy so category managers see real spend.
- RFQ responses aligned by line item across suppliers, with unit conversions, freight, tooling, and payment terms brought to landed cost
- Should-cost and price-variance flags against historical awards and prior quotes from the same supplier
- Automatic classification of AP transactions to UNSPSC or your internal category tree, including messy free-text descriptions
- Maverick and tail-spend detection that names the buyer, category, and contract that should have been used
Contract Terms & Supplier Risk Monitoring
Obligations pulled out of executed agreements, and supplier health tracked continuously instead of at the annual review.
- Extraction of pricing schedules, rebate tiers, auto-renewal dates, notice periods, liability caps, and termination rights
- Renewal and price-escalation alerts timed to your notice windows, not the week the invoice changes
- Supplier scorecards combining on-time delivery, quality rejections, and invoice accuracy from your own transactional data
- External signals - financial distress, sanctions and debarment lists, adverse news - matched to your active supplier master
Where teams use it
Built for real revenue work.
Direct Materials Sourcing in Manufacturing
Buyers running frequent RFQs on machined parts and raw materials get bids normalized to landed cost across dozens of suppliers in an afternoon. Price movement against prior awards is flagged automatically, so negotiation starts from evidence.
Indirect & Tail Spend Control
Multi-entity organizations classify years of messy AP history into clean categories and finally see what indirect spend actually costs. Off-contract purchases are surfaced weekly with the sourcing route that should have been used.
Contract & Supplier Risk Management
Shared services and legal teams turn a shared drive of executed agreements into a searchable obligation register with live renewal alerts. Risk monitoring catches a distressed sole-source supplier before it becomes a line-down event.
“We had eleven years of contracts in a folder structure nobody trusted. The extraction gave us every renewal date and liability cap in three weeks, and the first four renewals we renegotiated paid for the build.”
FAQ
Questions, answered.
Do we have to replace Coupa, Ariba, or our ERP?
No. We build on top of what you run and write results back into it, so buyers stay in the system they already use. We have integrated with SAP Ariba, Coupa, Oracle, NetSuite, Dynamics, Jaggaer, and homegrown ERPs, and we read email and shared drives where supplier documents actually land. If your P2P suite has AI add-ons, we complement them rather than duplicating what already works.
How accurate is extraction on messy supplier documents?
On the document types we tune for - quotes, invoices, POs, certificates - straight-through rates typically land near 90% after the first few weeks of production feedback. Scanned faxes and hand-annotated documents run lower, and the system says so rather than guessing. Every field carries a confidence score, and anything below your threshold routes to a review queue with the source image side by side.
Can it use our own commodity taxonomy instead of a standard one?
Yes, and most clients want exactly that. We train classification against your category tree, your GL mapping, and your historical coding decisions, including the local quirks every procurement org accumulates. UNSPSC or eClass mapping can run in parallel when you need it for benchmarking or reporting.
How do you handle confidential pricing and supplier data?
Work is delivered under SOC 2 controls with role-based access, encryption in transit and at rest, and full audit logging on every extraction and decision. Deployment can run in your cloud tenant or ours, and we can keep models entirely within your environment when contract terms require it. You own the code, the models, and the training artifacts at handover.
Keep exploring
More from the Leadify platform.
Point Us at Your Messiest Spend Category
We will scope a first procurement AI build against your real documents and data at a fixed project cost.