How we talk about AI-native operations

A governed business process carried out by one or more AI agents. Missions have clear goals, rules, escalation paths, and success criteria — all defined by the business leader who designs them.

The visual environment where business leaders design, configure, and launch missions. No coding required — you define what the agents should do, what rules they follow, and when to involve a human.

An AI entity that carries out missions on behalf of your organization. Agents operate within governance-defined boundaries, have trust scores that follow their behavior, and have their governed actions recorded in the audit trail.

The pricing unit for agents deployed on the platform. One Agent Unit represents one governed AI agent. Your costs grow directly with the value you receive.

Anything an agent can connect to in order to do its work — databases, APIs, file systems, SaaS tools, or custom integrations. Resources are governed: agents can only access what their mission explicitly allows.

Organizational policies, compliance rules, and decision boundaries expressed as machine-readable, version-controlled rules. Instead of governance living in documents people forget, it runs automatically every time an agent acts.

The practice of defining missions programmatically — goals, constraints, escalation rules, and success criteria in code. This makes mission definitions reviewable, reproducible, and version-controlled.

Each agent has a trust score that follows its behavior.

One of four trust levels: Restricted, Limited, Standard, Elevated. What an agent may reach is set by the bindings of its mission; an organization can also make a tool depend on the trust tier with an explicit rule.

A mission can escalate a decision to a person — for example when it is too complex, too sensitive, or too novel for the agent to make. The person decides, and the mission continues.

A record of the governed actions agents take within each mission. The audit record of a single execution can be exported for review.

Agent actions are checked against governance rules before execution. If a rule says "never share customer data with a third party," the platform enforces it.

Your data plane runs in your environment — any cloud, on-premise, or hybrid. Source data and governed datasets stay on your infrastructure. Some content is processed by services Agion runs, such as mission results, conversation messages in transit and text sent for embedding. The control plane is hosted in Finland, and we share the full list of data flows on request. AI model calls go to the provider your organization configures. This is how the platform works, not an optional add-on.

Agion works with any AI model provider — OpenAI, Anthropic, Mistral, open-source models, or your own fine-tuned models. Switch providers without changing your governance rules or mission definitions.

The knowledge your organization holds in governed datasets and knowledge graphs, assembled as context for each agent. Governed datasets stay on your infrastructure, and they are your competitive advantage, not ours. Some content is processed by services Agion runs. We're building Agion so that each mission adds to it: decisions, rules and governed data your organization can build on.

The platform separates the management layer (control plane, managed by Agion) from the execution layer (data plane, hosted in your environment). Source data and governed datasets stay in the data plane. Some content is processed by services Agion runs, such as mission results, conversation messages in transit and text sent for embedding. The control plane is hosted in Finland, and we share the full list of data flows on request. AI model calls go to the provider your organization configures.

The European Union regulation on artificial intelligence (2024/1689). Classifies AI systems by risk level and requires transparency, human oversight, and accountability. Agion is designed against the requirements of the EU AI Act, and regulation packs exist for the EU AI Act, DORA, GDPR, and FINMA. The final assessment under the Act stays with the customer.

The EU regulation governing personal data protection. Agion is designed to support GDPR obligations: the data plane runs on your infrastructure, and governed actions are recorded in an audit trail.

An organization or team where AI is not a tool bolted on to existing processes, but the foundation of how work gets done. AI-native teams design processes around AI capabilities from the start, rather than automating legacy workflows.

The practice of running business processes through governed AI agents rather than manual workflows or simple automation. Agents make decisions and take actions — within explicit governance boundaries.