AI & Data for the Public Sector: From Policy to Service Delivery
Government AI fails differently than corporate AI — in public, on the vulnerable, with no competitor to switch to — which is exactly why public servants need deeper judgement about it, not shallower.
Format
Classroom · Virtual
Upcoming sessions
Pick a session to applyADMISSIONS OPENThe programme
Governments across Africa and the Gulf are committing to AI-enabled administration, and the gap is no longer ambition but working capability in the civil service. This programme builds it without requiring a technical background: the use-case landscape — service delivery, revenue, benefits, health, security — sorted by value and risk; the data foundations every use case stands on — registries, quality, interoperability and sharing frameworks; procurement and build-versus-buy for institutions that must avoid vendor lock-in on decade horizons; generative AI in the daily work of the administration, with the guardrails public information demands; and governance — fairness, transparency, redress and the accountability a public institution owes citizens the private sector does not. Each participant leaves with a scoped AI initiative for their own institution. Complements our Digital Government programme; this one goes deeper on the AI and data layer.
What you will do
Who attends
Directors and senior officials across ministries and agencies; digital, data and IT leads in government; regulators and public utilities; programme managers of national AI and digital strategies; development partners funding them.
Programme agenda
Built for the decisions no textbook prepares you for
I.The use-case map
- Service delivery, revenue, benefits, health, security — value against risk
- What worked elsewhere: honest readings of government AI deployments
- Generative AI in the daily work of the administration
II.The foundations
- Registries and data quality: the unglamorous layer everything needs
- Interoperability and data-sharing frameworks between institutions
- Procurement and build-versus-buy without lock-in
III.The public duty
- Fairness, transparency and redress in automated decisions
- Skills and change: building capability inside the service, not around it
- Your initiative: scoped, sequenced, defensible to cabinet and public
Frequently asked
Do I need a technical background to attend?
No. The programme is built for directors and senior officials, digital and data leads, regulators and programme managers — no technical background is required. The AI and data layer is explained for decision-makers who must commission, procure and govern it, not build it.
What do participants leave with?
Each participant leaves with a scoped AI initiative for their own institution — sequenced and defensible to cabinet and public. Along the way the programme covers the use-case landscape sorted by value and risk, the data foundations underneath, procurement without vendor lock-in, generative AI with public-grade guardrails, and the governance a public institution owes citizens. It complements our Digital Government programme by going deeper on the AI and data layer.
Is the programme available in French and in-house?
Yes. BIZENIUS delivers it in English and French, and an in-house edition can be tailored to your ministry or agency and its national AI strategy. Sessions run on a rolling calendar with dates confirmed on request; fees and quotations are provided on enquiry.
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In their words
Knowledge transfer, emphasised throughout
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Take the brochure with you.
One request — the full agenda, the faculty and the next cohort dates, sent personally by the admissions team.