Case Study: Commonwealth Bank achieves rapid, scalable AI-driven personalised customer outcomes with H2O.ai

A H2O.ai Case Study

Preview of the Commonwealth Bank Case Study

CBA Boosts the Bank’s AI Capabilities to Generate Better Customer and Community Outcomes, at Greater Pace and Scale

Commonwealth Bank faced the challenge of rapidly scaling AI across its organisation to deliver more personalised, timely and community‑oriented customer experiences. To accelerate this capability and better anticipate customer needs—from predicting bills and forecasting cash flows to driving energy‑saving products—the bank formed an exclusive partnership and took a minority stake in H2O.ai.

H2O.ai delivered its AI Cloud across Commonwealth Bank and embedded a dedicated team of experts (including Kaggle Grandmasters, machine‑learning engineers and product specialists) to co‑develop solutions. The partnership cut model prototyping time from weeks to two days, enabled ML adoption by data scientists and business users at scale, and improved personalised offers and forecasting (supporting initiatives like Green Loan and energy partnerships), demonstrating clear operational speed and customer‑outcome gains.


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Commonwealth Bank

Matt Comyn

Chief Executive Officer


H2O.ai

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