WiseTech AI Writes or Assists Over 90% of Code

On August 25, 2026, WiseTech (WIGBY) disclosed on an earnings call that more than 90% of its code was written or assisted by AI. The figure shows that its software engineering workflow has reached a high level of adoption, but it does not prove that AI autonomously completed the same share of development or establish a standalone financial contribution.[1]

How AI software engineering fits WiseTech

WiseTech (WIGBY) develops logistics execution software for freight forwarders, customs brokers, warehouses and transportation companies. Its flagship CargoWise platform helps customers manage complex global logistics operations through a cloud system, supporting a strongly recurring revenue model. AI Software Engineering is used by WiseTech's product and development teams for code generation and review, automated testing, identifying edge cases and resolving defects. It participates directly in the production of the company's core software products.

Adoption deepened within the same workflow

By March 2, 2026, the application already spanned code review, test generation and end-to-end defect resolution. At the time, management emphasized workflow coverage and faster delivery.[2] On August 25, 2026, WiseTech quantified adoption depth for the first time by saying AI wrote or assisted more than 90% of its code. The developers, code and software-delivery tasks remained continuous; the change was a deeper degree of application.

More than 90% measures the share of code written or assisted by AI.[1] “Assisted” can include suggestions, completion, review or testing support, so the figure cannot be treated directly as the share generated autonomously. The company also did not say whether it measured lines of code, commits or another basis. It did not disclose the intensity of human review, defect rates or rework time, meaning code coverage alone is insufficient to judge final software quality.

Once AI participates in most code work, the potential financial destination is operating expense. If code generation, testing and defect resolution raise development throughput while maintaining quality, WiseTech can complete more product work with a smaller team and deliver features to customers faster. The company was also restructuring and changing its high-performance teams during the period, however, while capitalized development spending can affect reported expenses. Staffing changes or profit improvement therefore cannot be attributed to this application alone.

WiseTech has moved from describing the engineering tasks performed by AI to quantifying its coverage of code production, confirming a change in how the company develops software. What remains unconfirmed is the standalone change in hours, staffing or operating expense produced by this high adoption rate. Those figures will determine how much company-level economic value the more-than-90% code coverage actually creates.

Application assessment

• AI Software Engineering | Business position: Core operations | Deployment stage: Limited production | Scope: Single business unit | Value type: Cost reduction

Sources

[1] Drillr · WIGBY (WIGBY) · 2026-08-25 · Earnings call

Original: More than 90% of our code is written or assisted by AI.

[2] Drillr · WIGBY (WIGBY) · 2026-03-02 · Earnings call

Original: AI is executing code reviews, generating automated test cases, identifying edge cases missed by humans, resolving defects end-to-end using agentic workflows and accelerating the pace at which we can deliver value to customers.