AI consulting
Advisory work that helps an organisation decide where and how to use artificial intelligence. It typically covers opportunity assessment, use-case prioritisation, data readiness, risk and the operating model. Some firms stop at recommendations; others also build and run the systems they recommend.
Why it matters
Many AI programmes stall between a promising pilot and a dependable system. Advice that is not tested against the organisation’s own data, controls and workflows can produce a plan that looks sound but cannot be delivered.
When choosing AI consulting, it helps to ask whether the same people will design and build the system, what production evidence they can show and who will own the result afterwards.
In practice
For example, a UK insurer might engage an AI consultancy to assess where AI could reduce claims-handling time. A useful assessment would test the top candidate against real claims data and review rules before recommending investment, rather than ranking ideas from interviews alone.
Where Rodan fits
Rodan pairs advice with delivery: our forward-deployed engineers test recommendations by building them in Applied AI Engineering.