Use Cases
Built for decisions that depend on understanding what businesses actually do
Industry classification is not an isolated data point - it sits at the centre of how organisations assess risk, segment markets, meet regulatory requirements and identify opportunity. When classification is inaccurate or incomplete, every downstream decision is impacted.
Classification is a dependency, not a feature
Across financial services, insurance, government and enterprise, industry classification underpins core workflows - from onboarding and underwriting through to portfolio monitoring and reporting.
Yet in most environments, this dependency is built on inconsistent, static or incomplete data.
mnAi provides a reliable, explainable classification layer that can be embedded across systems, enabling organisations to operate with a consistent and accurate view of business activity.
What This Enables
Capability unlock
Improved Risk Accuracy
Understand the true activity of customers and counterparties. Reduce exposure created by misclassification and ensure decisions are based on how businesses actually operate.
Consistent Decision-Making Across Systems
Align classification across onboarding, risk, reporting and analytics functions. Remove discrepancies between teams using different or outdated data sources.
Regulatory Confidence
Support audit and reporting requirements with explainable, evidence-based classifications. Provide transparency through confidence scores and reason codes.
Better Market Visibility
Segment and analyse markets based on real business activity rather than historic or incomplete codes. Identify trends, opportunities and emerging sectors earlier.
Operational Efficiency
Reduce reliance on manual classification, internal overrides and ad hoc fixes. Replace fragmented processes with a consistent, scalable approach.
Applied across multiple workflows
These capabilities are applied differently depending on the organisation and use case. Below are examples of how mnAi's classification layer is used in practice.
Risk & Compliance
Maintain accurate industry classification across customer datasets. Support AML/KYC, APRA reporting and audit requirements with transparent, explainable outputs.
Learn moreInsurance Underwriting
Validate the true activity of policyholders to improve pricing accuracy. Identify misclassification and reduce exposure to incorrectly assessed risk.
Learn moreBanking & Lending
Understand borrower industry exposure and sector concentration. Improve credit decisions and portfolio monitoring through more accurate classification.
Learn moreMarket Intelligence
Analyse markets based on actual business activity. Identify growth sectors, competitive positioning and emerging trends with greater precision.
Learn moreSales & Origination
Build more accurate target lists based on real industry activity. Improve conversion by aligning outreach with how businesses actually operate.
Learn moreSupply Chain & ESG
Map supplier activity across industries. Support ESG reporting, sector exposure analysis and regulatory alignment using consistent classification.
Learn moreWherever industry classification informs decision-making, accuracy is critical. mnAi provides the foundation to get it right.