Work / Data and AI consulting, United States
A US consultancy helping organizations modernize their data platforms and adopt AI. The buyer is a CFO, an FP&A director or a BI lead doing research over weeks, not a visitor making a quick decision, so the site had to be a reference rather than a brochure.
What was actually going wrong, before anything was built.
Strategy, architecture, implementation, managed services, training, accelerators and migrations, each with their own buyer and their own vocabulary. Flattening that into one services page would have made every one of them invisible.
Somebody comparing platforms or planning a migration is not looking for a sales pitch. They are looking for an answer, and they will trust the company that gave it to them.
Case studies, partner status and client results existed, but they were not sitting next to the services they proved, which is where they actually do their work.
Described by what it does for the business. How it is put together is a conversation we are happy to have, but it is not what this page is for.
Each service, each program and each platform migration gets its own page, so somebody searching for their exact situation lands on a page about it rather than on a general one.
Case studies, partner recognition and client outcomes sit with the service they belong to instead of in a separate section nobody visits.
Wherever a visitor lands, the next step is the same short conversation request. No maze, no alternative routes competing with each other.
What is different about the way this business runs now.
The site was built as a reference for people doing their homework, because that is what this buyer is actually doing when they arrive.
Describe what is taking the time, and we will tell you whether it is worth automating, including when the answer is no.