A practical programme for leaders in government bodies, public services and NGOs on adopting AI responsibly — where public accountability, equity, citizen and beneficiary trust, and mission integrity all raise the bar well above a commercial rollout.
Public bodies and social-sector organisations face the same pressure to adopt AI as commercial firms, but under far tighter constraints: public accountability for every decision, legal duties around equity and fairness, the trust of citizens and beneficiaries who cannot simply take their custom elsewhere, and a mission that must not be quietly distorted by what a model happens to optimise. The cost of getting AI wrong here is measured in public harm and lost legitimacy, not just lost revenue.
This programme equips public-service and NGO leaders to adopt AI responsibly within those constraints. It covers where AI can genuinely improve services, how to protect equity and avoid automating disadvantage, how to stay accountable and explainable to the public and to oversight, and how to keep the mission intact. It is grounded in Impact Thinking’s research on public value and on measuring what actually matters rather than what is easy to count.
Eight live two-hour sessions per part — sixteen learning hours per part. Take one part on its own, or progress through the full pathway — each part ends with a practical output your organisation keeps.
What makes public-sector and social-sector AI different, and the bar it must clear.
Output · Public-Service AI Readiness & Risk Review
Accountability, legitimacy, equity duties and the citizens who cannot opt out.
Keeping what the organisation is for above what a model finds easy to maximise.
An honest read of where AI fits, and where it must not go.
Putting responsible AI into practice under public-sector constraints.
Output · Responsible AI Implementation Plan
Assessing value, equity impact, risk and public acceptability together.
A plan that pairs service improvement with equity and accountability.
Governance, measurement and legitimacy that hold over time.
Output · Responsible Public-Sector AI Roadmap
Oversight that is rigorous without being paralysing.
Measuring what actually matters to the public, not only what is easy to count.
Bringing service value, equity, accountability and trust together.
Every session combines short expert input with facilitated discussion and applied practice: real public- and private-sector cases, decision-making exercises, role plays and simulations, peer coaching and workplace application. Cases reflect the constraints managers actually face — limited resources, organisational politics, competing stakeholder interests and incomplete information.
Between sessions, peer-coaching groups, facilitator-led clinics and sponsor check-ins keep the learning attached to genuine organisational challenges rather than theory in isolation.
Assessment is practical throughout — no formal examinations. Evidence includes case analysis, completed templates, workplace application tasks, peer feedback and the final plans and roadmaps. A CPD certificate is available for each part where applicable.
In-house and framework delivery is tailored to your organisation and its accountability context. Public-sector and NGO engagements are frequently scoped and quoted bespoke to fit procurement and funding arrangements — tell us the context and we’ll shape a proposal to fit.
Frameworks & references · OECD AI Principles · UNESCO Recommendation on the Ethics of AI · UK public-sector guidance on algorithmic transparency · EU AI Act · Impact Thinking research on public value and measurement · equality and public-law duties
No. It is for leaders across government bodies, public services, universities, and NGO and development-sector organisations — anywhere AI is adopted under public accountability, equity duties and mission constraints rather than purely commercial ones.
No. It is a leadership and governance programme focused on adopting AI responsibly in a public-accountability context — equity, explainability, trust and mission integrity — not on building AI systems.
It runs online, in-person or hybrid, in-house or as an open cohort. The structure is three progressive parts, 24 live sessions and 48 CPD hours; you can take a single part or the full pathway.
Open-cohort places are £1,450 per part or £3,950 for the full pathway, per person. In-house delivery starts from £8,500 per part and from £22,500 for the full programme. Public-sector and NGO engagements are often quoted bespoke to fit procurement and funding — contact us to discuss.
Yes. A CPD certificate is available for each part, and the full programme carries 48 CPD hours. Assessment is practical throughout, with no formal examinations.
Yes. In-house and framework delivery is tailored to your accountability context and is usually the better value from around five participants. We frequently scope public-sector and NGO engagements bespoke.
To discuss dates, in-house delivery or enrolling a team, get in touch. We’ll help you choose the right starting point — a single part or the full pathway — and tailor it to your context.
Enquire & book → info@impactthinking.co.uk