AI-driven procurement & spend intelligence.
Spend categorization at the line-item level, vendor consolidation, contract clause extraction, and sourcing event preparation: AI agents pointed at where the money actually goes.
Most mid-market organizations can't answer the question: "where does the money actually go?"
Vendor sprawl accumulated through acquisitions and decentralized buying. Maverick spend outside contracts. Contract terms vary by vendor with no centralized leverage at renewal. Procurement is reactive, not strategic. The CFO knows there's leakage; nobody can quantify it.
Seven things, in order.
- Spend categorization and classification across AP and ERP data, at the line-item level, not vendor level.
- AI agents for vendor consolidation analysis: identifying duplicates, near-duplicates, and consolidation candidates.
- AI agents for contract clause extraction and comparison across the contract portfolio.
- Sourcing event preparation: AI-built RFP packages, baseline pricing analysis, target savings identification.
- Maverick spend detection and root-cause analysis.
- Procurement dashboards for CFO and operating partner: addressable spend, savings pipeline, supplier risk.
- Change management: procurement team enablement, governance for AI-surfaced opportunities.
Calibrated, not promised.
| Metric | Typical range |
|---|---|
| Addressable spend savings | 3-7% |
| Procurement cycle time | 30-50% reduction |
| Active vendor count | 15-30% reduction |
| Contract review velocity | +50-70% |
| Maverick spend visibility | anecdotal → GL line |
| Supplier risk view | scattered → unified |
Typical mid-market ranges, not guarantees. Your single target metric is agreed in week 1.
What needs to be true before we start.
- AP and ERP data accessible (transactions, vendor master, GL coding).
- Contract repository, even if scattered or inconsistent. Consolidation can be part of the engagement.
- CFO or VP Procurement as engagement champion with authority to act on surfaced opportunities.
Want to know if this is the right starting point?
In five weeks, we'll select, design, and prototype the highest-impact workflow, then hand you a rollout plan and a fixed-scope build proposal.
Not ready to talk? The Operator's Guide to Practical AI covers how to scope and de-risk a first workflow. Get the guide →
