Insights
The existing Black & Rhine articles now live together here. Research, briefings and events will follow once the humans have finished writing them. The published articles are written for CEOs, COOs, CIOs, transformation leaders and operating partners who need to make real investment decisions about AI adoption.
Seven areas that determine whether a promising use case can become a controlled operating capability. Covers the business problem, value case, data, risk, operating model, adoption and measurement: each tested as a named, owned commitment before the next investment decision is made.
A practical route from promising pilot to governed, measurable production work. Identifies the decisions that separate a demonstration from a capability the organisation can run and trust, including how to name ownership, set risk boundaries, test data access and build adoption.
Questions leaders should ask before selecting an adviser or implementation partner. Covers accountability for outcomes, willingness to challenge, how the partner handles uncertainty and what the engagement model looks like at handover.
A comparison for leaders deciding whether they need help shaping the use case, ownership, adoption and governance, or mainly need build and integration capacity once those decisions are settled.
Compare strategy and implementation briefs, delivery ownership, and the questions to ask before commissioning the work.
Compare proposal evidence, responsibilities, essential requirements and open questions before appointing an AI implementation supplier.