What challenges did HUB24 Limited face before AI implementation?

Manual processes made audits, revenue processing, fee disclosure monitoring, and compliance obligations expensive and time-consuming. Limited access to quality data and small audit samples reduced confidence for licensees overseeing advisers.

What was the impact of the AI solution?

Reduced the cost of financial advice, which can average up to A$3,500 upfront and A$3,500 ongoing. Lowered the compliance burden for licensees. Saved 10 to 40 hours of effort for every new application deployment compared with on-premises infrastructure.

Source

GCP

HUB24: Using Document AI and Vision AI to extract advisory document data and reduce financial advice compliance cost

Use case typeDocument processing automationUpdated Jun 3, 2026

HUB24 Limited built Google Cloud-based document classification and extraction capabilities to manage financial advice compliance obligations and reduce the cost of advice. The solution uses Document AI and Vision AI to classify 21 document types, extract key fields such as investment recommendations, risk profiles, and fees, and save the data into warehouses for reporting and real-time comparison against outcomes.

Organization: HUB24 Limited
Industry: Finance
Location: Australia
Published: June 2026

Reported outcomes

3,500 AUD upfront

financial advice costCost savings

3,500 AUD ongoingfinancial advice cost10 hoursengineering effort per deployment40 hoursengineering effort per deployment

Strategic outcomes

Risk & complianceLowered compliance burden for licenseesCost efficiencyReduced reliance on infrastructure engineering teams

Primary read

Use case focus

Showing 3 of 3

1Document processing automation
2Compliance monitoring
3Data platform modernization

Manual processes made audits, revenue processing, fee disclosure monitoring, and compliance obligations expensive and time-consuming.
Limited access to quality data and small audit samples reduced confidence for licensees overseeing advisers.

Built a document classifier trained on properly labelled and tagged documents to recognize 21 document types and capture adviser/customer metadata.
Used Document AI and Vision AI to create a document extractor that pulls structured data from advice documents and stores it in data warehouses for reports, applications, and real-time comparisons.
Used Apigee API Management and Google Kubernetes Engine as part of its cloud-native, API-driven architecture.

Technologies

Document AI Vision API Cloud Vision AI Apigee API Management Google Kubernetes Engine Pub/Sub

Reduced the cost of financial advice, which can average up to A$3,500 upfront and A$3,500 ongoing.
Lowered the compliance burden for licensees.
Saved 10 to 40 hours of effort for every new application deployment compared with on-premises infrastructure.

Architecture

HUB24 uses a cloud-native architecture on Google Cloud with Google Kubernetes Engine for containerized applications, Apigee API Management for API traffic and analytics, and a document extraction solution built with Document AI and Vision AI that classifies advice documents, extracts structured fields, and stores them in data warehouses for downstream reporting and real-time outcome comparison.

Sources & evidence1

Groundedness: 4/5Type: Customer StoryPublished: Jun 3, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High

Primary source

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