Turning a manual web operation into an AI-native growth engine
A software company whose entire revenue ran through its own websites was held back by a slow, manual way of working. We led its shift to AI-native workflows, turning site management, experimentation and content into a system that learns and ships continuously, with revenue rising as the pace of learning compounded.
A European imaging-software company
The challenge
The whole commercial engine, from landing pages to content, depended on a manual process. Good ideas waited in a queue, experiments were rare, and the business learned only as fast as a small team could hand-build each test.
The approach
We treated this as an operating-model question, not a tooling one. Working with the team, we rebuilt idea generation, testing, content creation and publication around AI, keeping human judgement on strategy and quality while removing the manual drag that capped throughput.
The outcome
Experimentation became continuous rather than occasional, and the compounding effect of faster learning showed up where it matters most, in revenue. The team traded a hand-built process for a system that keeps improving on its own.
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Gaveau Strategy works with startups and tech companies on exactly this kind of problem.
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