Catalog record · Risk Management
Stage as of source date not established · historical report, not live reconfirmation.
Clara transaction-risk scoring and audit evidence assistance
Primary workflow source. A named organization's workflow supported by a reviewed primary source. Stage is reported separately; this label does not establish measured outcomes or independent validation.
Last researched Oct 26, 2026. Source access and reported stage are recorded below; deployment evidence does not establish ROI.
What the research supports
KPMG UK uses Clara for full-population transaction scoring, risky-journal identification, walkthrough preparation and annual-report checks; its Australian register identifies the scorer as MindBridge ML.
- Reported stage
- Scaled
- Technology
- Machine Learning
- Business function
- Back Office
- Impact (legacy label)
- Not labeled
- Catalog date · unconfirmed
- Not reported
- Imported
- Oct 29, 2026
- Last researched
- Oct 26, 2026
Measures & evidence
more than · 1000 · audits
UK audits supported by transaction scoring
Measurement window not disclosed
Scope, baseline & source
- Scope / denominator
- Measurement population / workflow scope not disclosed
- Baseline
- Not disclosed in this account
- Claim basis
- More than 1,000, issuer report for 2025.
Source-reported claim; methodology, baseline and independent validation may be undisclosed. Inspect the research dossier.
Read dossier source ↗Exact claim-to-source location has not been mapped. This link belongs to the research dossier.
Measures retain their original currency, scope and period. Capacity, adoption and forecasts are not realized cash savings.
Documented vendor relationships
No vendor relationship has been linked to this specific workflow in the curated overlay. This does not mean it was built without vendors.
See the company’s documented relationshipsDeployment evidence & limits
Issuer reports transaction scoring supporting more than 1,000 UK audits. Status date not established.
Stage is as reported in the cited evidence. Current operating status has not been independently reconfirmed; the research date is an editorial review date.
Platform combines ML and GenAI; categorical technology field names the distinctive transaction scorer. Full data coverage does not prove all errors or fraud are found. Outliers are not fraud findings; require ledger completeness, appropriate thresholds, bias/error testing and professional sign-off. UK audit usage does not establish Australian scale.
Potential FS application · inferred
Inference: FS internal audit can rank ledger anomalies for testing and prepare evidence-linked walkthrough and disclosure reviews.
Anomaly scoring prioritises review; language tools assist documentation of controls and statements.
Original industry: Professional services. Transfer limits: Outliers are not fraud findings; require ledger completeness, appropriate thresholds, bias/error testing and professional sign-off. UK audit usage does not establish Australian scale.
Recorded dependencies
- Permissioned source data and documented professional review.
Source register
- Audit qualitykpmg.com · opens in a new tab
KPMG UK · issuer · full-text · Publication date not recorded
- AI Registerkpmg.com · opens in a new tab
KPMG Australia · issuer · full-text · Publication date not recorded
Research lanes: legal_professional_services · Batch global-discovery-2026-10-26. Coverage and remaining gaps