Guides
The questions people ask before they ask us.
Plain-language guides on enterprise AI, software and security, AI marketing, AI video and CGI production, and AI readiness — written to answer the questions people actually ask.
01Enterprise intelligence
A swarm of specialised intelligences that lives on your infrastructure, learns your enterprise and works on your data where it already lives.
Material master data
Why duplicate materials pile up in SAP and ERP systems, why text search can't find them, and a step-by-step method — classify, extract specifications, match on a canonical key — that does.
On-premise AI
A plain definition of sovereign, on-premise AI; the questions that tell you whether you need it; what it actually takes to run; and the myths about local models that get in the way.
02SaaS & technology
Engineering and AI-powered marketing that design, build, secure and grow your digital products.
Software development
The practical differences between a website, a web app, a native mobile app and custom software — which one fits which problem, the mistakes that cost the most, and what to ask a development partner.
Security testing
Vulnerability scans, penetration tests and code review explained; the categories of weakness a test looks for; what a good report contains; and how often to test.
AI marketing · GEO
Generative engine optimisation explained: how AI assistants choose their sources, the on-site and off-site work that makes a company citable, and how to measure whether it is working.
03AI production
Video, CGI, imagery and sound, made AI-first and finished by people who care how it looks and sounds.
AI video
An honest map of AI in video production — where generative tools already do the work, where a camera and a crew are still better, how the workflow changes, and how to brief an AI-first studio.
CGI & product imagery
When a CGI render beats a photoshoot, when photography still wins, how the two combine, and what you need to provide for each — a practical guide for product and marketing teams.
04AI audit
An honest, outside assessment of where AI and coming technology will help your company, and where they will hurt it.
AI readiness
The five areas an AI readiness assessment covers — data, systems, people, process and governance — with the questions to ask in each, the red flags, and what to do with the result.
AI threat assessment
A framework for working out where AI threatens your margin, your customers and your position — information advantages, manual expertise, distribution, speed — and how to respond before it shows in the numbers.
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