Your AI answers to you.

AI that acts on your business has to answer to your business. Safety is the first decision in every project we run, and people make the calls.

Decision logIllustrative example
  1. 09:40:58service-agentanswer2 sources · billing FAQ
  2. 09:41:10invoice-agentreceiveinvoice 48215
  3. 09:41:12invoice-agentmatchPO 7731 · confidence 0.98
  4. 09:41:14invoice-agentruleprice delta 4.2% > 2% limit
  5. 09:41:14invoice-agentrouteaccounts payable · approval
  6. 09:42:03m.costaapproveinvoice 48215
  7. 09:42:03invoice-agentpostERP · doc 5100293
  8. 09:42:31contract-agentextract14 clauses · 3 flagged
  9. 09:43:20service-agentanswer2 sources · returns policy
  10. 09:43:51service-agenthandoverrefund above limit
  11. 09:44:07guardrailblockpersonal data in prompt
  12. 09:44:30forecast-agentupdatedemand plan · 12 stores
Every answer, action and model call is logged with its source.

Four rules every solution follows.

One decision, from request to record.

Watch a decision go through: the agent does the work, a rule you set stops it, a person approves, and everything is on the record.

Decision logIllustrative example
  1. 09:41:10invoice-agentreceiveinvoice 48215
  2. 09:41:12invoice-agentmatchPO 7731 · confidence 0.98
  3. 09:41:14invoice-agentrouteprice delta 4.2% > 2% limit
  4. 09:42:03m.costaapproveinvoice 48215
  5. 09:42:03invoice-agentpostERP · doc 5100293

Your data stays where you decide.

Run GenOS in our cloud, in yours or on your servers. The line around your data stays where it is.

Your perimeter
Your dataGenOS controls

We run GenOS for you in our cloud. Your data stays inside the perimeter, under your rules.

We deploy in your own cloud account. Your data stays in it, and you keep control of the account.

We deploy on your own servers. We recommend the cloud, but it is not required to run AI and data systems in production.

The perimeter stays the same. Where it sits is your call.

Not tied to one AI provider.

GenOS works with models from several providers. If the best answer to a problem is not a language model at all, we say so and build what fits.

TaskRead a contractwaitingcontrolsApprovalsAudit logGuardrailsClaudeGPTGeminiMistralLlamaNot a language model

Log Every task goes through the same controls, and is logged.

Governance is the first decision, not the last.

Governance on GenOS keeps data management, AI deployment and decision-making aligned with your policies, regulations and ethics. It covers privacy, security, compliance and risk management.

For the personal data we process, we apply the technical and organisational measures of Article 32 of the GDPR:

  • Encryption in transit and at rest, where applicable
  • Role-based access control
  • Regular backups
  • Firewalls and intrusion detection
  • Confidentiality commitments and training for our people
  • Breaches that put people at risk reported to the supervisory authority within 72 hours
GDPR firstBuilt to the European standard for personal data, from the first decision of every project.
People make the calls.

Your data, your rights.

You can ask what personal data we hold about you, and have it corrected, exported or deleted.

Questions about trust.

The practical details security and legal teams usually ask first.

Talk to us
Who approves what the AI does?

You do. You set the limits, and exceptions, high-value decisions and anything unusual go to a person first. For example, invoices are matched automatically with only unresolved cases sent to a person, and legal requests are drafted by AI and approved by a lawyer.

Can we see what the AI did, and why?

Yes. Each answer, action and model call is logged with its source, so you can see what happened, when and why, and who approved it. GenOS also tracks the performance of every agent, detects anomalies and keeps evaluating the system after go-live.

Where does our data live?

In our cloud, in your own cloud account or on your servers. It stays inside that perimeter, under your rules.

Do we have to be in the cloud?

No. We adapt to your tech stack. We recommend the cloud, but it is not required to run AI and data systems in production.

Which AI models can you use, and can we change them?

GenOS works with models from several providers, among them Claude, GPT, Gemini, Mistral and Llama. We pick the model that fits each task, and if the best answer is not a language model at all, we say so and build what fits.

What happens if there is a data breach?

If a breach poses a risk to people, we notify the supervisory authority within 72 hours, as the GDPR requires.

How do we ask for, correct or delete our personal data?

You can ask what personal data we hold about you, and have it corrected, exported or deleted. Request your data.

Bring us your hardest AI problem.

Large enterprises trust us to carry AI all the way into production. We shape the use case, build it into your systems and run it with the governance your business needs.

  • 01Use cases chosen for value, not hype
  • 02Systems built into your stack and data
  • 03Run, monitored and improved after go-live