Canva product managers and designers use Claude to build interactive components and visualize proposed features. Projects preserve design principles and context. The case documents internal use but does not quantify time saved specifically by prototyping.
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Source checked means automated checks passed. Reviewed by Mario means personally checked. Summaries are AI-assisted; claims and results belong to the linked sources.
Quantium built an AI-assisted system using Claude to help prepare business proposals and bid responses. The company claims up to 90% less work time, with complex proposals moving from weeks to hours. The case study does not provide a controlled comparison or public implementation.
Australian Payments Plus uses ChatGPT Enterprise to locate payment specifications and prepare member communications. Staff review the results. Faster responses are claimed without a task-specific timing.
IMDEX used Cursor to rebuild fragmented geological data applications into an integrated platform delivered in eight months. Its comparison with two to three years and 20 additional engineers is a counterfactual estimate, not a measured alternative implementation.
National Australia Bank's merchant services team used Cursor to ship a hardware-independent payment application in three weeks. The original scope was four months. The story reports this delivery against a planning estimate, without a parallel comparison project.
Australian developer Geoffrey Huntley ran Claude Code in repeated loops for three months to build Cursed, a programming language using Gen Z vocabulary. The compiler and demonstrations were published. This was a learning experiment with incomplete components, without measured labor savings.
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