Responsible AI Policy

We started Arkintel because we think AI should make work meaningfully better: not just faster, but more considered, better-informed, and more human. That belief comes with obligations.

This policy sets out the principles we design and operate by. It is not a compliance document dressed up in mission language. These are the standards we hold ourselves to, and the ones our customers should be able to hold us to as well.

Some things are simply off the table, regardless of commercial opportunity.

We will not build systems designed to manipulate, deceive, or coerce, whether that means generating disinformation, impersonating people without consent, nudging users toward outcomes they would not choose if they understood what was happening, or exploiting people's vulnerabilities.

We will not build tools intended for mass surveillance, predictive policing, or social scoring. We will not build systems for untargeted scraping of facial images, emotion recognition in workplaces and schools, or biometric categorisation that infers sensitive traits like ethnicity or beliefs. We will not build AI that automates decisions about people's access to credit, employment, housing, or healthcare without meaningful human review and the right to contest an outcome.

We will not build autonomous weapons or systems designed to select targets or cause physical harm to people. This is not a domain we will work in, on any terms.

We will not accept customers whose primary purpose is to cause harm to people or communities. Use cases that conflict with the principles in this policy are declined, regardless of commercial upside.

We will not build any systems that violate EU law or any other laws or regulations. We believe in the importance of regulation to make AI safe and useful for all. Arkintel is designed for European enterprise and public-sector customers, and we treat EU law as a design constraint, not an afterthought.

We design for the strictest EU standards: human oversight, transparency, and purpose-bound data use. Where a use case could affect people's access to work, public services, or essential rights, we keep a human in the loop.

AI assists people; it does not replace their judgement. Every system we ship is built on the assumption that a human should be able to understand, question, and override what the AI does, especially when the stakes are high.

In practice this means: decisions with meaningful consequences for real people are never fully delegated to a model. Our interfaces are designed to surface AI reasoning, not bury it.

We think the value of AI is highest precisely when it sharpens human judgement rather than substituting for it.

We do not train our models on your data. Full stop. Every provider we work with is held to the same standard: no training on your content.

What you write, store, or process inside Arkintel stays yours, including the outputs the system generates for you. We claim no rights over your content, and we do not retain it beyond what is operationally necessary to deliver the service.

How your data is processed depends on how Arkintel is deployed. In our standard deployment, some AI processing is carried out by a small set of vetted third-party providers. Where possible, processing takes place within the EU. When this is not possible, this is clearly marked in the app. And you can choose for EU-only mode to disable all non-EU processors.

In an on-premises deployment, Arkintel runs entirely inside your own environment, air-gapped from the outside world. Your data never leaves your infrastructure, and no third party (including us) ever sees it.

In both cases, processing is governed by European law. GDPR applies, and we have designed our infrastructure to make that compliance structural rather than procedural. Personal and sensitive data is collected only where it serves a clear purpose and held for the minimum necessary time. For how we protect data, data residency, retention schedules, and the providers we rely on, see our Privacy Policy and Security pages.

We are honest about what our AI does, what it does not do, and where it can go wrong.

AI systems make mistakes. They can be confidently wrong, inconsistent across sessions, and poorly calibrated on edge cases outside their training distribution. We are constantly working on improving the systems to address these issues. We are open to your customer feedback to help identify issues and to find solutions for addressing them.

We are also transparent about when something has changed: model updates, policy revisions, and significant changes to how data is handled will be communicated directly to affected customers, not just posted quietly to a changelog.

Bias in AI systems is not a theoretical concern; it is an engineering problem with real consequences. We take it seriously as one.

We vet the models and providers we rely on, follow recognised best practices in how we build and deploy AI, and document known limitations clearly. When we identify a concern, we address it or surface it so customers can make fully informed decisions.

Responsible AI starts with secure AI. A system that leaks data, can be manipulated by adversarial inputs, or is not aligned with its user, is not a responsible one regardless of its stated values.

Arkintel can be deployed fully air-gapped, and our self-hosted option keeps everything inside your environment. Even in our standard deployment, egress is locked down to a small set of vetted providers and nothing else. Access control is tightly controlled.

If you discover a security vulnerability in Arkintel, tell us at security@arkintel.com. We acknowledge reports promptly, keep you updated as we investigate, and we will not pursue legal action against researchers acting in good faith. Verified issues are fixed as a priority and disclosed responsibly to affected customers.

We take responsibility for what we ship, and we stay with it.

Deploying an AI system is not a one-time act. Models drift, regulation evolves, use cases change, and failure modes that were not visible at launch can become visible later. We monitor our systems in production, evaluate them on an ongoing basis, and update them when they fall short.

If you have questions about this policy, how we apply it, or a concern about a specific Arkintel system, email us at contact@arkintel.com. We read it, and a person will reply.