The Log Book
AI systems, websites and training in practice.
15 projects
Monaco event registration and QR ticketing
Ticketing for an industry association’s annual Yacht Show event, planned for several hundred people, with list management, communications, phone scanning and CRM integration.
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A small team managing multiple maritime organisations. Seven recurring operational problems.
A phased roadmap that identified the foundations, sequenced the work, and gave the team what they needed to act. Online payments running. CRM integrated. Client onboarding connected.
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The highest-return near-term opportunity was already inside the business. It just needed a structured system to work on it.
Re-engaging 10 to 20 percent of a dormant contact database of more than 5,000 using the CRM they already owned, with a sequenced three-phase plan to act on it.
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AI agents rebuilt a ten-year e-commerce operation for the 2026 season, structured for AI search from the catalogue up.
The server logs show it working: more than 900 requests from AI crawlers in a single three-day July window, including 13 live page fetches by ChatGPT answering user questions. Behind that sit 180+ products, 100+ articles, 150+ scheduled…
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The AI system surfaced information that manual review had not previously reached.
A five-month prototype proved the capability, measured its accuracy, and produced a finding that changed how the organisation thinks about AI in its workflow. The engagement closed with a full handover to the organisation's own development team.
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Seventy years of precision vessel construction for government and defence. With limited formal documentation of its processes.
Six prioritised opportunities, a phased roadmap, and a governance framework built to match the quality of the vessels.
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Thirty-eight systems, nine departments, 500 staff, and an ownership transition in progress.
From complexity and disconnection to clarity and forward motion, with 11 prioritised opportunities, a sequenced plan, and a custom AI tool built so leadership could query every finding.
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A client engagement infrastructure that enforces data isolation, AI governance, and contact segmentation through architecture alone.
Every client's data held at database level. An AI assistant answering only from documented engagement data. Every contact placed in the correct segment at the moment of signup.
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A website built to be read by machines, not just visited by people.
Configured at every layer so AI systems can understand the business, trust its credentials, and recommend it to the right audience.
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