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AI TRAINING

Data & AI Strategy for Regulated Industries

Leave with a compliance-anchored AI roadmap that accelerates innovation without regulatory exposure.

Format
programme
Duration
20–32h
Level
practitioner
Group size
6–18
Price / participant
€4K–€7K
Group price
€25K–€55K
Audience
CDOs, CIOs, and senior data leaders in finance, healthcare, insurance, and public sector organisations
Prerequisites
Participants should hold a senior leadership role with accountability for data or technology; familiarity with their organisation's regulatory environment is assumed.

What it covers

This programme equips Chief Data Officers and senior technology leaders in regulated sectors with a structured framework to design, prioritise, and govern AI initiatives under GDPR, the EU AI Act, and sector-specific mandates (DORA, MDR, NIS2). Participants work through real case studies from finance, healthcare, and public sector to map their current AI maturity against regulatory constraints and build a sequenced roadmap. Sessions combine strategic frameworks with hands-on workshops on risk tiering, vendor due diligence, and AI governance operating models. By the end, each participant leaves with a draft AI strategy document tailored to their organisation's regulatory context.

What you'll be able to do

  • Classify your organisation's AI use cases against EU AI Act risk tiers and identify mandatory compliance obligations for each.
  • Produce a scored AI maturity assessment that maps current capabilities against sector-specific regulatory requirements.
  • Design a governance operating model that assigns accountability for AI risk, ethics review, and incident escalation.
  • Build a sequenced 12-to-18-month AI roadmap that balances innovation priorities with compliance gate reviews.
  • Construct a due diligence checklist for evaluating third-party AI vendors under GDPR and sector-specific rules.

Topics covered

  • EU AI Act risk tiers and obligations for regulated entities
  • GDPR, DORA, MDR, and NIS2 intersections with AI deployment
  • AI maturity assessment and gap analysis for regulated contexts
  • Building an AI governance operating model (policies, roles, escalation paths)
  • Vendor and third-party AI due diligence frameworks
  • Sequencing an innovation roadmap within compliance constraints
  • Data quality and lineage requirements for auditable AI
  • Communicating AI strategy to boards and regulators

Delivery

Delivered as a blended programme across four half-day sessions (remote or in-person), with async pre-work including a regulatory self-assessment questionnaire and required reading pack. Approximately 60% of time is hands-on: case workshops, peer critique of draft roadmaps, and a final strategy presentation. Materials include annotated EU AI Act summaries, sector-specific compliance matrices, and a reusable AI governance canvas. A dedicated Slack or Teams channel supports peer exchange between sessions.

What makes it work

  • Securing executive sponsorship and a named AI risk owner before the programme starts, so governance decisions made during training have a clear path to ratification.
  • Running the maturity assessment against real, in-flight projects rather than hypothetical scenarios to produce immediately actionable output.
  • Including Legal and Compliance representatives alongside CDO-level participants so strategic and regulatory perspectives are integrated from day one.
  • Scheduling a 90-day review checkpoint after the programme to pressure-test the roadmap against any regulatory updates or business changes.

Common mistakes

  • Treating compliance as a final gate rather than embedding it as a design criterion from the first use-case selection.
  • Conflating GDPR data-protection obligations with the broader risk-based requirements of the EU AI Act, leading to incomplete governance coverage.
  • Building an AI strategy in the CDO office without alignment from Legal, Risk, and the Board, resulting in a roadmap that stalls at approval.
  • Selecting high-value but high-risk AI use cases first, creating regulatory friction that poisons organisational appetite for subsequent initiatives.

When NOT to take this

This programme is not the right fit when an organisation has not yet identified any concrete AI use cases — in that scenario, a broader AI literacy or ideation workshop should come first before investing in a governance-heavy strategy programme.

Providers to consider

Sources

This training is part of a Data & AI catalog built for leaders serious about execution. Take the free diagnostic to see which trainings your team needs.