CE.A.I. Centre for AI Innovation

Government and Policy · Public Finance, Fiscal Strategy & Procurement

Infrastructure Finance Under Pressure

Executive strategies for fiscal space, procurement integrity and expenditure effectiveness, with responsible AI and measurable public outcomes

Course code
G-039
Directory
Top 100 Government and Policy
Cluster
Public Finance, Fiscal Strategy & Procurement
Dates and fees
On enquiry

Delivered as an open programme or in-house for your organisation.

Why this matters now

Governments are operating in a period defined by sovereign debt, spending pressures and public investment quality. For senior decision-makers, infrastructure finance under pressure is no longer a narrow technical concern: it affects public trust, institutional capability, fiscal choices and the daily experience of citizens. Recent international reporting, including IMF Fiscal Monitor April 2026, offers an evidence base for discussing these pressures, although the reported indicators should not be interpreted as direct measurements of this particular course topic.

This programme examines the structural forces behind fiscal space, procurement integrity and expenditure effectiveness, distinguishing short-term events from longer-term shifts in the policy environment. Participants will evaluate alternative interventions, the institutions needed to deliver them and the implications for different population groups. Particular attention is paid to value-for-money analysis, budget prioritisation and auditability, including the practical tensions between speed, cost, legitimacy and accountability.

The learning experience moves from global developments to jurisdiction-specific decisions. Participants explore how predictive analysis, structured evidence reviews and scenario modelling can inform policy options without displacing public judgement or democratic accountability. They will assess implementation barriers, stakeholder incentives, funding requirements, delivery capacity and potential unintended consequences. The programme concludes with a practical policy action brief setting out options, measurable indicators, ownership, review milestones and safeguards for responsible deployment.

Five key topics

  1. Global shifts and emerging risks shaping infrastructure finance under pressure.
  2. Institutional frameworks, policy choices and the implications for fiscal space, procurement integrity and expenditure effectiveness.
  3. Implementation strategy, funding, stakeholder alignment and value-for-money analysis, budget prioritisation and auditability.
  4. Case Studies / Use Cases: comparative policy scenarios, implementation lessons and competing public-interest trade-offs.
  5. Hands-On AI Expert Tools: evidence synthesis, policy scenario modelling and risk dashboards; participant presentations and discussion.

Five key benefits

  1. Identify emerging policy signals and translate complex developments into clear strategic priorities for public sector leadership.
  2. Design practical policy options with measurable outcomes, implementation milestones and transparent institutional accountability for delivery teams.
  3. Use AI assisted evidence reviews responsibly while checking assumptions, uncertainty, data limitations and human oversight requirements.
  4. Improve collaboration across agencies and stakeholders through structured consultation, coordinated action and clear communication of trade-offs.
  5. Produce an actionable policy brief with decision owners, delivery risks, evaluation indicators and scheduled review checkpoints.

Who should attend

Leadership levels
Chief digital government officers; public sector AI steering committee members; agency transformation directors
Functional roles
AI assurance leads; public service product owners; algorithmic accountability and procurement specialists
Best suited to
Public officials responsible for designing, authorising, funding or implementing initiatives involving infrastructure finance under pressure, with accountability for public value and measurable delivery outcomes.

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