Trust and sovereignty

Built for organisations that cannot afford to lose control.

Public administration, critical infrastructure, defence, finance, healthcare – wherever data is sensitive and the rules are strict. Made in the European Union.

“What looks cheap to build becomes expensive to trust.”

Stephanie L. Woerner et al., “AI Value Creation: Five Provocative Propositions”, MIT CISR Research Briefing, August 2026
Two values, not one

Trust in the result – built in, not bolted on.

AI makes building cheap. Trusting what was built is the hard part. In Amethis, trust is part of the infrastructure: every result carries where its data came from, which rules produced it, who approved it and how to reverse it. That is why you can rely on what your people and agents produce – not only build it quickly.

Your infrastructure

Runs on your servers, in your own Azure, Google Cloud or AWS account, or in networks cut off from the internet – the AI model included. Never a shared cloud service.

Regulation, operationalised

The registers, workflows and records that GDPR, NIS2 and the AI Act require are part of the running system – not a separate project.

Security for classified and isolated environments

Classification labels on every record, permissions computed per row, evidence collected for accreditation. Accreditation is granted per installation by the competent authority.

No lock-in

Your data and its governance metadata stay in open, standard formats – you can take them with you at any time, including away from us.

Assurance: a software bill of materials for every release, security scans on every change and evidence collected for Common Criteria (EAL4+) evaluation. Designed for environments up to EU SECRET – accreditation is granted per installation by the competent security authority.

People decide · agents do the work

AI agents take on the work. Your people keep the decisions.

Agents prepare, check and carry out tasks around the clock. Wherever a decision matters, a person approves it – and every step is recorded.

AI agent · operations planningIllustrative scenario

Re-plan 38 orders after a supplier delay saves €214,000

  • ✓Data from ERP, the warehouse and 2 supplier portals – one golden source
  • ✓Tested on the digital twin: on-time delivery 91% → 98%
  • ✓Notifications for 12 affected customers drafted
  • !Changes 3 production plans – a manager's approval is required
ApproveCompare variantsReject
Every decision is recorded: who, when and on what basis.
  • A human in the loop

    You decide which steps need a person's approval – and widen the agent's room as trust grows.

  • Same rules for people and agents

    An agent gets exactly the rights a person in that role would – never more. One set of permissions, enforced on every read and write.

  • A complete audit trail

    Who did what, when, on which data and under which rule – for people and agents alike.

  • Pause at any moment

    Any agent can be paused instantly, its access revoked and its record kept – without stopping the rest of the organisation.

European digital sovereignty

A data- and process-driven organisation – with people augmented by AI agents.

Tell us about one process you would like to change. In a 45-minute working conversation we walk through it with you and show how a similar process runs in Amethis. You leave with a concrete pilot outline – the full model of your process is built in the pilot itself.

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or write to info@amethis.io

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