Key points

  • Westpac’s UNITE transformation remains on track, with Commercial Banking customer migration underway and all Westpac Invoice Finance facilities moved to a new platform.
  • The bank is consolidating data from 285 source systems into one governed enterprise data foundation.
  • Westpac says artificial intelligence is already being used to accelerate data migration, automate lending processes and improve software-development productivity.
  • In the third quarter of FY26, Westpac reported unaudited statutory net profit of AUD 1.8 billion and maintained a CET1 Capital ratio of 12.1%.

Westpac Banking Corporation (ASX:WBC) is one of Australia’s major banks, operating across consumer, Business and institutional banking. Technology has become increasingly important to its strategy as the group works to simplify systems, improve digital experiences and make greater use of data and artificial intelligence. Its recent disclosures show that technology transformation is moving beyond infrastructure replacement and into customer service, lending processes, data management and employee productivity.

UNITE remains central to simplification

Westpac’s UNITE program is designed to simplify its operating environment, improve customer experiences and increase productivity.

In its third-quarter FY26 update, Westpac said UNITE remained on track. The bank had commenced the migration of Commercial Banking customers and completed the migration of all Westpac Invoice Finance facilities to a new platform. It had also progressed the migration of enterprise data to the cloud, providing a broader foundation for analytics and artificial intelligence.

This matters because banking systems can become increasingly complex as products, channels and technologies accumulate over time. Consolidating platforms and processes can reduce duplication and make it easier to introduce new digital services.

Westpac’s latest Data, Digital and AI update also shows that simplification is being approached through shared technology, data and delivery practices rather than through a single system change.

Building one governed data foundation

One of Westpac’s main technology priorities is consolidating fragmented data.

The bank currently identifies 285 source systems spanning banking, customer, product and operational systems. Its strategy is to bring these together through Adapt, its enterprise data platform, to create one governed data foundation.

Westpac intends this foundation to support better customer insights, faster decision-making and more consistent digital experiences.

The bank said its intelligence layer can connect data and AI to customer channels including the mobile banking app, digital bankers and digital contact centres. Initial use cases showed model building and deployment could be five times faster, while customer insights could be activated six times faster.

These measures are based on early use cases, so they should be viewed as indications of potential operational improvements rather than guarantees of future bank-wide outcomes.

AI is moving into day-to-day operations

Westpac is also deploying artificial intelligence across customer service, lending, engineering and internal workflows.

In home lending, automation of application payslips and bank statements is estimated to create approximately 100,000 hours of banker capacity annually. Consumer finance automation is estimated to free another 50,000 hours.

The bank has also used AI to accelerate its St.George data Warehouse migration, which it expects to complete around two years earlier than originally planned. In another internal development initiative, AI-assisted software development increased delivery productivity by 40% in the cited release.

Westpac also reported that early AI-powered engineering use cases had produced up to a 35% increase in code-development productivity.

These examples indicate that the bank is increasingly using technology transformation to target operating productivity as well as customer-facing improvements.

Digital banking is becoming the primary channel

Westpac reported that 80% of qualifying sales were originated digitally over the referenced 12-week period to August 2026, while 99% of service interactions across measured branch, virtual-banking and digital channels were completed digitally between October 2025 and August 2026.

Its digital strategy also includes personalised offers, smarter sales leads, digital onboarding and tools such as Book a Banker.

The bank reported that personalised deposit offers reached approximately 500,000 customers within two weeks in one use case, with more than twice the account uptake compared with a control group. Smart digital leads also generated 16,000 Business Banking customer conversations and a 2.8-times increase in settlements over the comparison period.

These examples illustrate how Westpac is trying to use data not only to lower costs but also to deepen customer relationships.

Financial performance provides the backdrop

Westpac’s third-quarter FY26 update reported unaudited statutory net profit of AUD 1.8 billion, up 3% compared with the first-half quarterly average. Net profit excluding notable items was also AUD 1.8 billion, up 2%.

Net interest Margin was stable at 1.89%, while lending increased 2%, including 4% growth in business lending, 3% in Institutional and 2% in housing. Deposits increased 2%.

Operating expenses rose 1%, reflecting salary and wage growth together with Investment in the business. Westpac said it continued to pursue more than AUD 550 million of productivity savings in FY26.

The CET1 capital ratio was 12.1% at 30 June 2026, above Westpac’s target ratio of 11.25% under normal operating conditions.

The original article’s first-half statutory profit and 77-cent Interim Dividend figures are not contained in the two attached documents, so they have not been repeated here.

Technology execution carries risks

Large-scale system transformation can create execution challenges. Data migrations, platform changes and increasing reliance on artificial intelligence require effective controls, cyber protection and operational resilience.

Westpac’s own AI framework focuses on education, governance and protection. The bank says it is embedding AI within cyber, identity and operational-resilience controls while monitoring third-party AI dependency and concentration risk.

The bank is also moving toward automated AI risk assessments while retaining human accountability.

This makes technology execution a balance between speed and control. Productivity gains can be valuable, but disruptions, data issues or poorly governed automation could introduce new operational risks.

What to watch next

The main indicators will be progress on UNITE migrations, further consolidation of data systems and evidence that digital and AI initiatives translate into measurable productivity gains.

Westpac has linked its technology strategy directly to improving returns and reducing its cost-to-income ratio. Its September presentation frames the objective around turning data into intelligence, expanding AI adoption and accelerating delivery to support growth and productivity.

Investors can therefore monitor operating expenses, productivity savings and technology milestones alongside more traditional banking measures such as margins, Loan growth and Credit quality.

The next stage of Westpac’s transformation will depend less on announcing new technology initiatives and more on executing migrations reliably, simplifying systems and demonstrating that these changes improve efficiency and customer outcomes.