The three agents

01 Three agents

One capability. Three consequences.

Reading the whole population gives you throughput. Joining the whole population gives you findings. The same claim record, read three ways.

FIG. 02 — many observations, written many ways, one cause

01Defect

Defect Intelligence Agent

From defect detection to root-cause intelligence

Detect defects before they become costly failures.

AI that understands images, inspection reports, service records, warranty claims and historical defects to identify, classify and predict defects across every vehicle, component and process. Every observation is ruled OK or NOT OK, with the reasoning retained.

Visual Defect Detection — identify dents, scratches, cracks, corrosion, paint defects, assembly issues and other anomalies from images and video.
Multi-Document Intelligence — correlate inspection reports, repair orders, invoices, warranty claims and service histories.
Root-Cause Analysis — connect recurring defects to components, suppliers, models, batches, locations and production processes.
Historical Intelligence — learn from millions of past inspections and claims to identify recurring defect patterns.
Predictive Quality Intelligence — surface emerging defect trends before they become widespread failures or warranty costs.
Explainable Insights — show what was detected, why it matters and the evidence behind every finding.

Don’t just detect defects. Understand why they happen — and stop them from recurring.

Turning every inspection into actionable quality intelligence

FIG. 03 — four independent checks, one of them catches it

02Warranty

Warranty Intelligence

Solves: altered and duplicated invoices clear warranty audit because no team can forensically examine every supporting document.

Every invoice and supporting document is passed through a bank of independent detectors, each looking for a different species of document fraud. A document that trips any of them is flagged with the detector that caught it.

Duplicate and near-duplicate invoice detection
Alteration and tampering checks on the document itself
Price and quantity anomalies against the claim
Vendor and reference validation

Owner — Warranty & After-Sales

FIG. 04 — the pattern is not in any claim, it is between them

03Fraud

Fraud Intelligence Agent

From suspicious signals to investigation-ready intelligence

Detect fraud patterns humans miss.

AI that investigates every claim, document, image, invoice, vendor and historical record — connecting hidden signals to uncover fraud before it becomes a payout.

Detect→Connect→Investigate→Prevent

Cross-Claim Intelligence — detect duplicate claims, reused evidence, recurring entities and suspicious patterns across millions of records.
Visual Fraud Detection — identify image reuse, manipulation, damage inconsistencies and suspicious visual evidence.
Entity & Network Intelligence — connect claimants, garages, vendors, vehicles, invoices and investigators to reveal hidden relationships.
Historical Pattern Analysis — compare every new claim against years of historical data to surface anomalies and known fraud patterns.
Explainable Investigations — give investigators the evidence, connections and reasoning behind every fraud signal.

Up to 3%additional fraud leakage identified — measured as claims confirmed by the customer’s own investigators, over and above what their existing controls had already caught.

Don’t just flag suspicious claims. Investigate the intelligence behind them.

Turning millions of records into actionable fraud signals

— Start here

Your closed claims are an answer key. Let us be graded against them.

Send us nothing. We send you one file, your own IT runs it offline against a single export of closed claims, and you keep what it finds either way.

How the Coverage Check works hello@actuora.ai