Browse by topic.
Every article we've written, grouped by the question it answers. Start wherever you are in the decision.
Getting cited by AI answer engines
When a buyer asks ChatGPT, Perplexity, or Google AI Overviews for a recommendation, there is no page of ten links to climb — either you are named in the answer or you are invisible. Everything we have written on measuring and improving that.
Read the topic AI Agents & Automation · 8 articlesWhat AI agents are, and which one you need
A chatbot answers; an agent acts. What separates the two, what a production agent is actually made of, and how to tell which workflow in your business is the right one to start with.
Read the topic Vendor Evaluation · 8 articlesHow to buy AI without getting burned
Most AI money is lost to the wrong vendor rather than the wrong idea. The pricing traps, the diligence questions, and the failure patterns worth recognising before you sign anything.
Read the topic Cost & ROI · 6 articlesWhat AI actually costs, and what it returns
Real numbers with sources: what a build costs, what running it costs, and how to model the return before you commit. We publish our prices, so the arithmetic here uses figures you can check.
Read the topic Strategy & Readiness · 4 articlesKnowing whether you are ready to build
Most AI projects are decided before engineering starts — by whether the workflow was measurable, the data was reachable, and anyone owned the metric. How to tell, and what to fix first.
Read the topic Operate · 3 articlesKeeping a live AI system working
Launch is not the finish line. AI systems decay rather than crash, which is why standard monitoring never catches it. What breaks after go-live, and what operating one properly involves.
Read the topicPut a forward-deployed team on the problem.
A 30-minute discovery call is the fastest path from reading about this to a scoped plan.


