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Our Work · FinTech

AI-Powered Tax & Regulatory Intelligence

Source-grounded Australian tax research, in conversation

Overview

Project at a Glance

Industry
  • Financial Services & FinTech
  • Enterprise Business Systems
Services
  • AI / Retrieval-Augmented Generation Development
  • Conversational Research Interface
Client

Australia

Key Highlights

  • 230K+

    Tax Documents

  • Australia

    Client Region

  • Source-Grounded

    ATO-Cited Answers

Capabilities

Key Features

Identifying the barriers to fast, reliable tax research and solving them with source-grounded retrieval.

Tax Guidance & Calculations

01 / 05

Interprets rules; handles Division 7A and more.

The challenge

Complex Tax Scenarios Demand Deep Expertise

Advanced scenarios Division 7A calculations, company tax and base-rate-entity determinations, tax distribution optimization are time-consuming and error-prone to work through manually.

Key Challenges & Solutions

Problems we solve

Identifying the barriers to fast, reliable tax research.

  1. Advanced scenarios Division 7A calculations, company tax and base-rate-entity determinations, tax distribution optimization are time-consuming and error-prone to work through manually.

    Our Solution

    Tax Guidance & Calculations

    Interprets rules; handles Division 7A and more.

Solutions built for FinTech

  • AI
  • Enterprise
  • Web Application
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More Work

Related Projects

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Technology

Technology Stack

A modern, scalable technology stack built for performance, security and long-term growth.

  • Azure AI Search
  • LangChain
  • RARAG Pipeline
  • VeVector Search
  • ClCloud Architecture
  • Azure AI Search
  • LangChain
  • RARAG Pipeline
  • VeVector Search
  • ClCloud Architecture
End Results

Measurable results, delivered

The capabilities delivered by grounding tax research in a large, continuously updated source corpus.

Scoreboard

  • 230K+

    Tax Documents

  • Australia

    Client Region

  • Source-Grounded

    ATO-Cited Answers

Impact Path01 / 05
Outcome 01

Built a RAG pipeline over 230,000+ tax documents using Azure AI Search and LangChain for semantic and vector search.

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