Course Snapshot
- Duration
- Workshop format
- Level
- Designed for all technical levels
- Format
- Interactive hands-on workshop
- Delivery
- Flexible delivery options to suit participants' needs and geography
Designed for all technical levels Interactive hands-on workshop Flexible delivery options to suit participants' needs and geography
Managing AI
Put the right governance in place to control risk, cost, and compliance.
Request Tailored DeliveryAbout the Course
Managing AI
Managing AI helps participants put governance structures in place that protect the business while enabling performance.
As AI becomes embedded in everyday operations, the biggest risks often come from unclear ownership, weak oversight, and poorly defined controls.
The course translates regulation and best practice into clear, usable frameworks, including scorecards, sign-off routines, and governance checkpoints.
Who is this course for?
Designed for professionals who need clear governance, compliance, and regulatory frameworks for AI.
Senior Managers & Decision Makers
Leaders who need to establish governance frameworks and demonstrate accountability to stakeholders, boards, and regulators.
Compliance, Risk, Legal & Procurement Teams
Professionals responsible for regulatory alignment, risk management, and policy compliance across AI implementations.
Public Sector Leaders
Government and public service teams preparing for EU AI Act compliance and formal governance deployment.
Learning outcomes
Go beyond theory with governance skills that can be applied immediately.
Write a one-page AI policy
Create clear, actionable policies aligned to organizational risk appetite and key requirements of the EU AI Act.
Understand why governance matters
Examine how strong oversight improves ROI and how weak governance increases operational, legal, and reputational risk.
Navigate EU AI Act requirements
Understand what high-risk AI means and why this classification matters for procurement and vendor decisions.
Track risk and performance
Implement a simple, four-box dashboard with color-coded KPIs covering accuracy, bias, security, and cost.
Define clear roles and routines
Establish who signs off AI data and models, who reviews outputs, and how accountability is embedded into operations.
Curriculum modules
Module 1
Policy design for governed AI use
Turn policy requirements into practical operating rules teams can follow.
Module 2
Oversight, accountability, and governance value
Build ownership structures and review routines that improve both control and performance.
Module 3
EU AI Act readiness
Apply classification logic and compliance expectations to procurement and deployment decisions.
Module 4
Risk and performance scorecards
Set up simple dashboards for monitoring accuracy, bias, security, and cost over time.
Module 5
Operational sign-off routines
Define clear roles for data, model, and output governance in real organizational workflows.
Prerequisites
No prior AI experience necessary.
FAQs
Is this course only for legal and compliance teams?
No. It is designed for cross-functional teams, including senior decision makers, procurement, risk, and public sector leaders.
Do we cover EU AI Act requirements?
Yes. The course addresses high-risk AI classification, governance expectations, and practical implications for procurement and oversight.
What practical outputs will participants produce?
Participants work on one-page policy structures, governance routines, and KPI scorecards for monitoring risk and performance.
Ready to Formalise AI Governance?
Request a tailored session with details on delivery options, pricing, and governance outcomes for your context.