AI Procurement Governance for Public Sector equips public institutions with a structured framework to procure artificial intelligence solutions responsibly, transparently, and lawfully. The course addresses the full procurement lifecycle from strategic planning and market engagement to vendor evaluation, contract design, implementation oversight, and performance assurance. Participants examine how public value, accountability, ethics, cybersecurity, and data protection must be embedded into procurement decisions for AI-enabled systems. The program explains how procurement teams can align acquisition practices with policy mandates, operational needs, and long-term institutional resilience. It also clarifies how to assess supplier claims, validate technical capability, and reduce risks related to bias, opacity, vendor lock-in, and regulatory non-compliance. Through practical tools, governance models, and scenario-based discussion, learners strengthen their ability to manage complex procurement decisions with confidence. The course connects procurement governance with digital transformation priorities, budget stewardship, and measurable service outcomes. It is designed for executives, procurement leaders, policy professionals, legal advisers, auditors, and program managers working in the public sector. By the end of the program, participants will be able to lead AI procurement with stronger control, better transparency, and higher public trust.
Public sector organizations are increasingly procuring AI solutions to improve services, automate processes, and support data-driven decision-making. However, AI procurement introduces governance challenges that differ significantly from conventional technology purchasing. Buyers must understand not only pricing and functionality, but also algorithmic risk, explainability, data quality, security exposure, and long-term accountability. This course provides a professional learning pathway for managing these issues within public procurement environments. It shows how procurement governance can protect institutional integrity while enabling innovation and operational efficiency. Participants will explore procurement policy design, evaluation criteria, market engagement strategies, contract safeguards, and supplier monitoring mechanisms tailored for AI systems. The course also highlights how to coordinate procurement, legal, compliance, technology, and service teams around a common governance model. Realistic procurement scenarios help learners translate policy expectations into practical decision frameworks. The result is a robust capability to procure AI solutions in ways that are ethical, defensible, and aligned with public interest.
Participants will achieve the following objectives by this course:
This program targets a professional audience seeking to improve knowledge and skills:
This course is delivered over five intensive training days and combines expert instruction, guided discussion, applied frameworks, procurement scenarios, and practical exercises to ensure participants build immediately usable capability in AI procurement governance for public sector environments.
The instructor is an experienced public sector governance and procurement specialist with expertise in AI acquisition strategy, technology risk, contract governance, compliance systems, and institutional capacity building, bringing practical international insight into responsible and effective procurement design.
Is this course technical? It is designed for professionals who need governance understanding rather than advanced coding knowledge.
Does the course focus on public sector realities? Yes, it is specifically structured around government procurement, accountability, and public value requirements.
Will participants learn how to assess vendors? Yes, the program includes practical methods for evaluating supplier capability, claims, and governance maturity.
Does the course address legal and ethical risks? Yes, it covers compliance, data protection, fairness, transparency, and contractual safeguards.
Can this course support procurement policy improvement? Yes, participants gain tools to strengthen internal frameworks, controls, and decision quality.
AI Procurement Governance for Public Sector provides a practical and strategic foundation for responsible AI acquisition in government environments. It enables participants to improve procurement quality while protecting transparency, compliance, and public trust. The course equips institutions to evaluate suppliers more effectively and manage AI risks with greater discipline. It also supports better contract design, stronger oversight, and more sustainable digital transformation outcomes. Participants leave with actionable governance tools for more confident and accountable procurement decisions.