AI Case StudiesAI-Powered Transaction Categorisation for Fintech Platforms

AI-Powered Transaction Categorisation for Fintech Platforms

Eliminating manual bookkeeping for financial service users

"Gig workers were spending entire weekends manually tagging hundreds of transactions before every BAS submission, with frequent errors costing them valuable deductions."

Industry & Context

Financial platforms serving sole traders, gig economy workers, and small business owners face significant user experience challenges with transaction management. Users typically need to categorise hundreds of bank transactions for tax submissions and financial reporting, creating substantial manual overhead.

Challenge

Platform users were abandoning manual transaction tagging workflows due to time constraints. Every payment, expense, and transaction required individual categorisation by type before quarterly submissions. With dozens of transactions weekly, this created hours of tedious work and frequent categorisation errors that could impact valuable deductions and financial accuracy.
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Aerion Solution

We implemented an LLM-powered rules engine that transforms transaction processing:

Custom rules in plain language: Users define categorisation rules once using natural language: "All fuel station purchases → Fuel," "Platform earnings → Income"
Real-time API processing: Bank transactions flow in continuously and are processed immediately by our LLM system
Automatic categorisation: The system applies user-defined rules, categorises and groups transactions before users even log in
Banking integration expertise: Seamless connection with financial APIs and regulatory compliance requirements
Scalable architecture: Built to handle thousands of users processing transactions simultaneously without performance impact
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User Experience

Instead of spending hours manually sorting through transaction data, platform users now:

Set up rules once and let the system handle repetitive categorisation automatically
Open their platform to find transactions already organised by expense type and grouped for reporting
Review and approve rather than sort and tag - cognitive load shifts from data entry to decision-making
Complete financial reporting in minutes instead of hours with pre-categorised, organised data
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Business Results

Transactions arrive pre-categorised, eliminating the manual tagging bottleneck
Financial reporting preparation reduced from hours to minutes
Enhanced platform retention through automated bookkeeping workflows
Improved user satisfaction during tax season with streamlined processes

What's Next

Continuous learning improvements to enhance rule matching accuracy and expanded customisation options for complex business structures and multi-entity reporting.

Ready to eliminate manual processes with intelligent automation?

Book a discovery call to explore how Aerion Technologies can implement AI solutions that transform your users’ workflows.

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