From experimentation
to public value.

AI readiness is not simply a question of whether an organisation has access to tools or data. I provide a structured appraisal of the institutional, organisational, cultural and performance conditions that determine whether AI can deliver credible public value. The assessment examines strategic objectives, decision rights, governance arrangements, data quality, information security, procurement, workforce skills, leadership capability and current patterns of service delivery. It also considers organisational culture: attitudes to experimentation, risk, collaboration, learning and accountability. Through interviews, document review and focused workshops, I identify where AI could strengthen policy, operations and services—and where underlying constraints first need attention. The result is a clear readiness picture, a practical prioritisation of opportunities and risks, and a tailored roadmap for moving from isolated enthusiasm to responsible, sustainable adoption. This gives leaders a sound basis for investment decisions, capability development and organisational change.

Responsible AI adoption needs governance that is both robust and workable in the context of everyday public management. I use constructive consultation with the strategic apex, the management team and operational staff to understand how decisions are made, where accountability sits and how new technologies will affect real work. Together, we identify the governance systems and processes required for responsible adoption: clear decision rights, appropriate oversight, risk-management arrangements, data and information-security responsibilities, procurement safeguards, evaluation methods and routes for escalation. The aim is not to impose a generic control framework, but to develop arrangements that fit the organisation's mandate, capabilities and risk appetite. The outcome is a practical governance model that gives leaders confidence, enables teams to act responsibly and keeps public value, fairness and accountability at the centre of AI adoption.

AI can create real value when it is used to redesign work, not simply added to existing routines. I conduct an organisational analysis to identify where systems, processes and roles could be improved through AI-supported ways of working. The review examines how work flows across teams, where decisions are delayed, which administrative tasks consume disproportionate effort and where staff lack timely information or support. It identifies opportunities to remove unnecessary administrative burden, simplify handovers and strengthen human judgement at critical points in delivery. Working with leaders, managers and staff, I assess the likely implications for roles, skills, workload, controls and service quality. The outcome is a practical redesign agenda: priority use cases, clearer processes, better resource allocation and a roadmap for implementation. The aim is to improve efficiency and responsiveness while also strengthening performance, capability and job satisfaction.

I offer custom executive education and decision labs for leaders who need to understand, use and implement AI with confidence. A programme can take the form of a single focused session or a sequence of sessions, designed around your organisation's priorities, institutional context and practical challenges. Delivery can be one-to-one for senior leaders, or for cohorts of executives, managers and operational teams who need a shared understanding and a route to action. Sessions combine clear concepts with relevant cases, structured discussion and practical tools for decision-making. Topics can include identifying valuable use cases, building an AI strategy, responsible adoption, governance, workforce implications, organisational redesign and implementation planning. The aim is to move beyond general awareness towards informed choices, constructive dialogue and credible next steps that participants can apply in their own organisation.