Governed categorization
Classify inflows and outflows through a controlled and maintainable financial taxonomy.
Categorize activity, recognize merchants, detect recurring patterns, and create explainable signals that institutions can use inside approved journeys.
Raw transaction descriptions are inconsistent and difficult to interpret at scale. Enrichment and categorization create a reusable intelligence layer for financial management, affordability, verification, service, and growth.
Each capability can stand alone, but the value compounds when data, consent, intelligence, and action stay connected.
Classify inflows and outflows through a controlled and maintainable financial taxonomy.
Resolve transaction descriptions into recognizable merchant, counterparty, and channel context.
Detect likely salary, rent, subscriptions, bills, repayments, and other repeated financial activity.
Create explainable income, commitment, spending, and cash flow indicators for approved journeys.
Keep production rules observable, versioned, testable, and controlled.
Use external AI to propose missing rules without granting it direct access to regulated PII.
Open Finance works when product, technology, compliance, operations, and the customer journey move through the same programme.
Clean source specific transaction fields.
Match known merchants, categories, and recurring patterns.
Create a governed new rule when no suitable rule exists.
Apply the enriched context inside an approved financial experience.
Production data remains inside the regulated environment. AI can help build or refine rules using controlled examples and context that excludes PII.
A transparent view of the capabilities involved. This is an operating model, not a product screenshot.
Explore the categories, merchants, patterns, and financial signals required by your priority journey.