AI readiness & training
Know where you stand. Ensure your people are ready.
The EU AI Act is now in force. Most organisations don't yet have a clear picture of where they sit within it.
Some AI systems are already subject to requirements. Others will be as implementation progresses. And beyond the EU AI Act, the broader regulatory landscape - UK frameworks, GDPR's automated decision-making provisions, and emerging global requirements - is moving fast. Understanding how these requirements apply to your specific business model, products, and AI use cases is where most of the real work sits, and where most organisations need support.
Our founder has first-hand experience of the development of AI regulatory frameworks, including early engagement with the European Commission
This gives us insight into how these frameworks were shaped, what regulators expect, and where organisations typically struggle. Our training programmes draw on that experience, combined with deep expertise across the role-specific challenges AI creates across legal, compliance, technology, data science, digital marketing and HR.
Knowing about the EU AI Act and being ready for it are two different things.
Most organisations have done some scoping. What they rarely have is a structured, honest assessment of where their AI systems sit, what controls are required, a practical plan to achieve MDP (Minimum Defensible Position) and beyond, and what evidence they'd need to demonstrate compliance if asked. On training, general awareness isn't enough: the Act requires AI literacy appropriate to each role, and that means something different for a data scientist than it does for an HR manager.
That's exactly the gap we close.
How it works
Two connected parts - a readiness assessment and a training programme. Commission together or independently. Where assessment comes first, training is more targeted, built around what the assessment reveals rather than a generic curriculum.
Our work follows the same Diagnose · Design · Deliver · Defend methodology we apply across all engagements - assessing where you are, designing the right response, supporting implementation, and ensuring your position holds up over time - as regulation and your AI use evolve.
Readiness assessment
Covering AI system classification, governance and control requirements, documentation needs, and your position under the EU AI Act and broader AI regulatory frameworks - including how requirements apply specifically to your business model, products, and AI use cases.
| Tier | What it involves | Delivered as |
|---|---|---|
| Snapshot | Rapid review of key documentation - AI inventories, governance frameworks, existing policies. | Written findings summary with prioritised recommendations. |
| Assessment | Document review plus structured interviews across technology, legal, compliance, and data science. Includes assessment of how requirements apply to your specific business model and AI use cases. | Written report with findings and prioritised remediation plan, presented to leadership. |
| Extended review | Broader scope across AI systems, data governance, and privacy. Suited to complex environments, urgent regulatory pressure, or where AI governance intersects with transformation programmes. Can often be mobilised quickly. | Detailed findings report with remediation priorities, presented to leadership. |
| Deep dive | Comprehensive review across AI systems, governance, data quality, and regulatory exposure - including responsible AI integration into transformation programmes and digital services. For organisations preparing for a regulatory moment, transaction, or programme rebuild. | Comprehensive report with findings, risk assessment, and remediation roadmap, presented to leadership. |
In addition to the above, we can supply our templates, and offer delivery leadership - to help you reach your destination more quickly.
Training
Aligned with EU AI Act literacy requirements - and tailored to your organisation, your AI use, and your sector. Delivered remotely or in person.
| Audience | Focus |
|---|---|
| All staff | What AI is, how it's used in the organisation, responsible use in practice - aligned with EU AI Act literacy requirements. |
| Legal and compliance | AI Act obligations, risk classification, documentation requirements, and how AI intersects with existing legal and regulatory frameworks. |
| Technology | Model governance, explainability, bias testing, human oversight mechanisms, and technical controls for high-risk AI systems -including responsible AI integration into digital transformation programmes. |
| Data science and CDAO | AI lifecycle governance, training data controls and provenance, data lake and gold tier data risks, masking and anonymisation, and KYD (Know Your Data) applied to AI model development. |
| Digital marketing | Consent and personalisation risks, automated decisioning and segmentation, and profiling obligations under GDPR and the EU AI Act. |
| HR | AI in recruitment, performance management, and workforce planning -bias and fairness obligations, human oversight requirements, and employment law implications. |
All modules can be tailored to the specific organisation, its sector, and its AI use cases.
Understanding where you stand and ensuring your people are equipped isn't a compliance exercise. It's the foundation for deploying AI with confidence, integrating it responsibly into your products and services, defending your position under scrutiny, and extracting the commercial value from AI that most organisations are currently leaving on the table.