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Reduce rework with shared decisions about risk, evidence and ownership.
When product, engineering, legal and compliance use different tests, every AI project answers the same questions several times. This training turns the EU AI Act, internal policies and your real AI architecture into one decision method. Teams learn to define roles and risk, name the evidence required, design human oversight and establish ownership in the workflow.
Inconsistent reviews
One project, several tests
Business, technology, legal and security discover requirements at different points. That creates late iteration and avoidable cost.
Amended AI Act timeline
Article 4 already applies
Most provisions apply from August 2026. Annex III high-risk requirements follow in December 2027 and Annex I requirements in August 2028.
Procurement trust
Customers expect clear answers
Ownership, classification, testing and oversight need to be explained clearly to customers and internal decision-makers.
This is not a generic awareness presentation. The work uses your systems, data flows and approval paths so decisions remain usable after the workshop.
The training is developed by Jhonathan Campos, an AIGP-certified AI governance professional, compliance lawyer and software engineer. That combination keeps legal, technical and operational claims on the same standard.
We explain Annex III in the language of model cards. We explain model cards in the language of legal accountability. Teams on both sides finally understand each other.
We map your actual AI systems before training. Exercises use your products, your data flows, and your approval paths: so nothing feels abstract.
Classification decisions, risk logs, and oversight records produced during workshops serve as the start of your compliance documentation.
Engineers learn what to build. Product learns what to approve. Legal learns how to review. Leadership learns what to ask. Each role gets what they need.
Training records, completion logs, and session documentation produced in formats regulators, auditors, and procurement teams recognise.
The scope, timeline, and obligations of the AI Act: translated into decisions your teams need to make today.
Hands-on mapping of your AI systems against the risk tiers: with reasoning, evidence, and documentation.
How to design, implement, and document human oversight mechanisms that satisfy the AI Act and stand up to scrutiny.
What to write, how to maintain it, and what auditors will ask to see: for both high-risk systems and GPAI deployments.
How to assemble compliance evidence, prepare for regulatory inquiries, and keep documentation current as systems evolve.
We will show how your policy, system and risk context become a practical training decision before a wider rollout.
Request a practical exampleShare your goals with us and discover how we can guide you through complex compliance requirements.