AustraliaFinance and insurance2024 – ongoingANZ Banking Group
Ensayo AI for software requirements and testing
ANZ reported 72% less API testing time with Ensayo AI
Problem
Engineers needed to understand complex banking requirements before writing code. Misunderstandings caused rework, while testing consumed a substantial share of delivery time.
Approach
ANZ developed Ensayo AI with HCL and AWS and had an initial version in production by April 2024. The generative AI tool used banking documentation to help interpret requirements and write automated test scripts. It ran inside an Amazon Virtual Private Cloud.
Results
Takeaway
The reported gains concerned specific testing stages. ANZ did not report an equivalent reduction in total software delivery time.
Categories
- Size
- Large enterprise
- Industry
- Finance and insurance
- Business function
- IT and R&D
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
ANZ engineering lead Rico Zhang described Ensayo AI as live in production. He reported reductions of 72% in API testing time and 56% in integration testing time.
Full details are in the original sources.
