AI opportunities and strategy: choose where to invest
Do you have several ideas or vendor proposals to consider? We connect AI possibilities with business problems, users and intended outcomes. Interviews and workshops help compare opportunities and define the priority use case.
You receive a reasoned opportunity portfolio, a priority use-case brief and strategic directions for the agreed scope. These inform business priorities, value assumptions and investment decisions. Initial training can give decision-makers a shared foundation.
AI readiness assessment: understand what needs preparation
For an organisation, department or use case, the assessment examines the conditions for success: business needs, data, organisation, technology and governance. Interviews and available evidence support the findings and clarify their limitations.
You receive an assessment, the gaps and dependencies to address, and a readiness roadmap to close those gaps against your AI ambitions. It sets out priority actions, responsibilities to confirm and evidence of progress, including for AI agents. This roadmap is included in the assessment. Support with carrying it out can be agreed separately.
Guide a project and embed new ways of working
AI project scoping and oversight provides a functional brief and project delivery plan covering work packages, milestones, responsibilities and business testing. Where included in the agreed scope, oversight tracks actions and decisions. A final review informs whether to proceed, adjust or stop. Technical delivery is carried out by your team or an identified and confirmed provider.
AI adoption and continuous improvement supports the relevant user groups through workshops, governance guidance and progress reviews. A defined cycle produces an adoption plan, user resources and a review of progress. It can follow a project or help teams get more from existing tools, with targeted training where needed.