Frequently Asked Questions
What is the difference between AI strategy and custom AI development?
Strategy decides what to build and why: readiness, feasibility, priorities and a costed roadmap. Custom development is the building itself. Most engagements start with strategy so the build targets something worth doing, but either can be taken on its own.
What does an AI readiness assessment look at?
Chiefly your data: what you hold, where it lives, how clean it is and whether it can lawfully be used for the purpose. It also covers the systems the work would touch and the internal capacity to run what gets built.
Do we need a large amount of data to start?
Not always. Some use cases need substantial history, others work from documents or process rules you already have. Part of the assessment is telling you which category your idea falls into before anything is committed.
What do we receive at the end of a strategy engagement?
A prioritised set of use cases with the effort and impact of each, and a costed roadmap. It is written so you can act on it with us or take it to another supplier.
Can you build the solutions you recommend?
Yes. Custom AI solution development is offered as a separate service, covering model selection, integration with existing systems, deployment and ongoing support.