Finance & Reporting
Duplicate payment and payment fraud detection
Detect duplicate invoices, near-duplicate submissions, and payment fraud indicators — changed bank details, unusual supplier patterns, invoices just below approval thresholds — before payment runs.
30–60%
reduction in duplicate and fraudulent payments
Opportunity assessment
Moderate impact. Meaningful cost or revenue improvement, likely noticeable at function level but modest relative to total business scale.
Relatively straightforward. Off-the-shelf tools handle the core task. Implementation is well-understood with good examples to follow.
Moderate data needs. Works with data most businesses hold, but will likely need consolidation, cleaning, or reformatting before use.
Moderate risk. Some customer or external exposure. Errors create rework or reputational impact but are recoverable.
Light people impact. A new tool slots into an existing workflow. Minimal training needed. Most people will adapt quickly.
Tooling required
Things to consider
Invoice redirection fraud, where a criminal impersonates a supplier and changes bank details, is one of the most common losses reported by UK businesses. Bank detail changes should always trigger an out-of-band verification regardless of the model's confidence.
Fuzzy duplicate detection catches what exact matching misses — the same invoice submitted with a different reference, a transposed digit, or via a different entity.
Invoices clustered just under an approval threshold are a classic internal control signal and easy to monitor once you look for it.
Experiment starter: Run detection across two years of paid invoices. Any duplicates it finds are recoverable cash, and the recovery usually funds the implementation several times over.
Go deeper in the playbook
Section — Opportunity Identification, including the AI Opportunity Assessment ScorecardSection — RAG and Knowledge Systems: Unlocking Proprietary DataThis is an decision support opportunity — see the relevant playbook section for how to approach it.More in Finance & Reporting
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