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Audits and compliance
Certainty and compliance
Reliable data and efficient processes: Data and business auditing
What you gain?
An independent assessment of the quality of your data (is it complete, consistent, reliable?) and the efficiency of key processes. You will receive recommendations on how to improve your information management (in accordance with ISO 27001) and prepare for ESG reporting, for example.
How do we work?
We examine your data and processes for their suitability for automation and analytics. We identify areas for improvement and show you how to better use your data to make decisions.
Check your AI compliance: AI Act, RODO and ethics audit
What you gain?
Assurance that your AI systems are operating in compliance with the law (AI Act, RODO, industry regulations) and ethical standards. We identify potential gaps and risks, providing a corrective action plan so you are ready for audits and avoid problems.
How do we work?
Our experts analyze your AI solutions in detail against regulatory requirements (transparency, oversight, data management). We use the latest standards (e.g. ISO 42001) to make the audit reliable and comprehensive.
Protect your AI and data: Information Security Audit
What you gain?
An assessment and strengthening of the security of your AI and data systems against cyber threats. You'll gain assurance that you're compliant with ISO 27001 and protecting your information according to best practices. You'll get a concrete remediation plan for the vulnerabilities identified.
How do we work?
We verify your security policies, access controls, data protection (including training for AI) and resilience to attacks. We verify compliance with RODO in the context of AI (privacy by design).
Risk analysis is
important
Concerns are growing among managers about the ethics of algorithms, data privacy and regulatory compliance, so it makes sense to prepare a risk management policy for your AI system now.
Do you know how to classify your system?
Much of the uncertainty about the actual number of systems that will be considered high-risk stems from the high complexity of classification according to the AI Act, which will finally go into effect in August 2026.
Increasing number of incidents
Points to the growing challenges of implementing AI responsibly and ethically. Many organizations recognize the risks associated with accuracy, regulatory compliance and cybersecurity, but efforts to minimize them often remain inadequate. Wiele organizacji dostrzega ryzyka związane z dokładnością, zgodnością regulacyjną i cyberbezpieczeństwem, jednak działania mające na celu ich minimalizację często pozostają niewystarczające.
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