Responsible AI Policy
Working draft — last updated June 2026
Our commitment
Arkintel builds AI that organisations under real regulatory load can trust. This policy sets out the principles we hold ourselves to when we design, build and operate AI systems — and what our customers and their users can expect from us.
Human oversight
AI assists people; it does not replace their judgement. Our systems are built to keep a human in control of consequential decisions, with the ability to review, override and audit what the AI does.
Data protection & training
We never train models on your data. Personal and sensitive data is minimised, purpose-bound and processed under European law. See our Privacy Policy and Security pages for the mechanisms behind these commitments.
Transparency
We are clear about where AI is used, what it can and cannot do, and the limits of its reliability. Where the EU AI Act requires disclosure, we provide it.
Fairness & bias
We test for and work to reduce harmful bias in the systems we ship, and we document known limitations so customers can deploy responsibly within their own context.
Security by design
Responsible AI starts with secure AI. Encryption, default-deny egress, access control and full audit logging are built in, not bolted on.
Accountability
We take responsibility for the systems we deliver and stay with them after launch — monitoring, evaluating and updating them as models, regulation and your needs change.
Contact
Questions about this policy or how we apply it? Email contact@arkintel.com and we will get back to you.