If you’re ready to claw back savings you’ve earned but don’t have the tools or resources to collect, grab an open time we’ll show you how AI can unlock missed savings opportunities.
Enforce negotiated rates at PO/invoice—index caps, de-escalations, and UOM normalization—to eliminate price drift.
Route demand to preferred suppliers with catalog/exception governance to stop value erosion.
Capture early-pay discounts, block duplicates, and reverse hidden fees so only clean invoices are paid.
Convert supplier outcomes into cash via rebates, tier attainment, and SLA/LD credits.
Consolidating redundant agreements typically unlocks ~2 % (or more) savings by aggregating volume and renegotiating stronger terms.
Ensuring every tier rebate and discount is claimed can boost realized savings 0.5–0.8 % on applicable categories—pure margin uplift.
Stopping double or erroneous payments protects 0.5–1 % of total AP outflow and prevents costly claw-back cycles.
Catching line-item price creep on already-negotiated SKUs routinely recovers 1–1.5 % of contracted spend—often the single biggest leakage bucket.
Identifying hidden import duties and pass-through surcharges can trim 0.2–0.4 % of total landed cost in tariff-heavy categories.
Capturing missed return and warranty credits averages 0.05–0.2 % of total spend—a smaller bucket but still meaningful ROI for high-volume parts.
AI instantly flags line items priced above contract terms, so you pay only what you negotiated.
Volume-incentive and early-pay discounts are tracked in real time, ensuring no credit is left unclaimed.
Clean 4-Way Match data feeds analytics that pinpoint consolidation, renegotiation, and spec-change opportunities within each spend category.
Automated policy and contract checks create an always-ready evidence trail, cutting audit gathering and remediation in half.
Predictive models spot commodity spikes early, guiding timing and hedging decisions that prevent future cost hits.
Parsing and tracking contracts has traditionally been highly manual. Without the scalability of Artificial Intelligence it wasn’t economically feasible. But with the right AI, it is.
Most clients start seeing savings within the first 30 days of go-live. (and sometimes during development)
No—AI happens in the background. While it may take some time to initially ingest all documents, the AI does not sit in the critical path of any current processes.
Yes, policies are very flexible depending on your situation (although many are similar). We offer a variety of options for editing specific policies and other variables.
We use out-of-the-box connectors for SAP, Oracle, Ariba, Coupa, and other popular solutions. We also have several options for less popular solutions.
Dashboards quantify recovered spend, reduced overhead, category savings, and other productivity gains.