MII Fraud Detection for Procurement
Detects fraud signals across procurement documents.

At a glance
- Doc AIProcurement field extraction
- FlagsAnomaly and fraud indicators
- ControlsEvidence-led review






Overview
An AI solution that reads procurement documents, extracts key fields, compares transaction signals, and flags anomalies or potential fraud patterns for review.
Combining Azure Document Intelligence with Azure OpenAI, it strengthens procurement controls, gives reviewers clearer evidence, and helps teams catch risky transactions earlier.
Case study
- 01
The challenge
Procurement reviews often depend on manual document checks across invoices, purchase orders, vendor records, and supporting files. Anomalies are easy to miss, evidence is time-consuming to gather, and controls become difficult to enforce consistently at scale.
- 02
Our approach
The solution reads purchase documents, extracts vendors, values, dates, items, and supporting evidence, compares the details against expected patterns, and highlights anomalies or fraud signals with context for reviewer validation.
- 03
The outcome
Risky transactions are surfaced earlier with extracted evidence, anomaly context, and fraud indicators organized for human reviewer validation.
- 04
Impact
Stronger procurement oversight, earlier risk detection, less manual document review, and clearer evidence packs for audit or investigation teams.
Technologies
05- Azure Document Intelligence
- Azure OpenAI
- Azure AI Search
- Anomaly Detection
- Procurement Review
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