More and more organisations are adopting AI. But governance, accountability and risk management are often left unresolved. We balance growth with risk management.
The EU AI Act and sector regulation (DORA, NIS2, GDPR) create obligations that cannot be delegated to the legal department alone. Accountability always stays at management level.
AI failures are not theoretical. Reputational, legal and operational damage is tangible, and organisations often recognise it too late.
Systems that act autonomously raise questions of accountability that no existing framework yet answers. That has to be prepared for now.
Vija Kalniņa is an expert in AI ethics, law and policy with more than ten years of legal experience in the private and public sectors. Her interdisciplinary approach combines legal precision with a deep understanding of technological reality.
The EU AI Act places an obligation on organisations: every employee who comes into contact with AI must have appropriate training. We make sure your team not only meets that requirement but is also able to work with AI meaningfully.
AI governance for decision-makers, making it possible to lead AI adoption within a sound legal framework while preventing reputational, legal and financial risks.
Maturity assessment, mapping the gaps in AI governance, developing guidelines, forecasting risks, building an ethical framework.
Commissioned by VARAM and produced in collaboration with MILA, our experts developed "Practical guidelines for AI adoption in the work and services of public institutions" – the first state-commissioned framework of its kind in Latvia.
The document translates the language of regulatory requirements into concrete, usable steps for public institutions – from risk assessment through to protocols for responsible AI use.
⚑ Placeholder – quote from a public sector representative on the practical value of the guidelines for public institutions.
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