CASE STUDY

Apex Tool Group · warranty-claim fraud detection →

Warranty Claim fraud detection

In production. ‍On the first try.

Industry research puts the enterprise AI failure rate at 95% — most initiatives never make it out of the pilot. Apex Tool Group cleared that bar on their first attempt: their first enterprise AI application reached production in under three months, with no rebuild. The difference wasn’t a better model. It was a composable foundation already in place — so when AI arrived, there was somewhere stable for it to land.

Predictable enterprise AI isn’t luck. It’s architecture.

01 — Proof · Apex Tool Group

A warranty-claim app, future proofed before anyone knew it was for AI.

Apex Tool Group didn't set out to build an AI application. They built an end-to-end warranty-claim approval automation on AgilePoint as part of digital transformation — years before they needed fraud detection. When AI arrived, they didn't rebuild. They overlaid the AI Control Tower on what they already had.

⬢ Case Study

Warranty Claim Fraud Detection

A global tools manufacturer. Multi-minute handling times per claim, limited ability to identify repeat fraudulent submissions, inconsistent review experiences — compounded by AI-aided fraud techniques.

Customer

Apex Tool Group

Sponsor

Stephen Otis, VP of IT

Time to production

Less than 3 months

Step 01 · Earlier

End-to-end warranty-claim app on AgilePoint — for digital transformation.

Built years before AI was the question. End-to-end orchestration of warranty intake, validation, customer/brand routing, and resolution. The team had no idea this was futureproofing for AI. It was just the platform they picked.

Step 02 · The pivot — and the dead end

Evaluated an expensive AI platform for fraud detection.

When fraud detection became urgent, the team followed the mainstream path: build a new AI application on a leading AI platform. The evaluation came back cost-prohibitive, the approach was point-problem-focused, and the project was postponed.

Step 03 · The discovery

AgilePoint released an extended AI Control Tower as an overlay layer.

A vendor-agnostic, independent governance layer that orchestrates and governs multi-vendor models and agents structurally — and runs on top of the same composable foundation Apex Tool Group had already deployed.

Step 04 · Production

Expanded the existing app. No rebuild.

Results in production.

Big AI results · little AI price tag

5× ↓

CapEx savings vs. expensive AI platform alternative

2× ↓

OpEx — AI tokens through reference-based reuse

6× ↓

OpEx — operations labor, processing, and rework

71%

AI-assisted decisions on incoming warranty claims

100%

Coverage of high-risk claims now reviewed by AI

10×

Faster fraud detection on duplicate & abuser identification

76%

Time & labor reduction per warranty claim

80%

Manual processing time reduction across the queue

400%

CSR throughput increase on claim review

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Get the full case study. Big AI results, little AI price tag.

The complete Apex Tool Group story — the business challenge, the AI & agentic orchestration architecture, and the measurable results in production. Click the cover or the button to download the PDF.

PDF

2 pages

Apex Tool Group × AgilePoint

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Big AI Results · Little AI Price Tag

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In 2003, AgilePoint bet the world would need an execution architecture that could change in real time, driven by intelligence. That composable architecture made us a BPM pioneer (2007), a low-code leader (2016), and now the missing dynamic process layer for agentic AI (2025). We were early. Now we're on time to prove it: build your processes right, and your enterprise AI succeeds 5–10X faster and more effectively.