AI Agents

Intelligence

Model-backed workers with clear boundaries and controls

How agents are scoped, which tools they may use, and how prompts and outputs are recorded for audit. Placeholder for the full product-security narrative.

CTOs, ML leads, and information security teams assessing AI usage in enterprise workflows.

Placeholder technical detail

The sections below are structural placeholders. Replace with deep dives, diagrams, and links to your architecture and security materials as they are finalised.

  • Governance in scope

    Tooling limits, PII handling, and escalation rules. This page will link to your data-processing agreements and model policies.

  • Observability

    Traceability from a workflow step to the underlying model call. Cross-reference with the Observability cap capability.

At a glance

  • No silent autonomy: every action is policy-bound
  • Suitable for regulated and document-heavy work
  • Stays on your stack when you self-host

Other platform areas

Explore the rest of the platform from a technical perspective.

Ihre Infrastruktur. Ihre Daten.

Intelligenter automatisieren. Die Kontrolle behalten.

Betreiben Sie Lunnoa in Ihrer eigenen Infrastruktur. Jeder Workflow, jede Agenten-Ausführung und jeder Datenpunkt verbleiben in Ihrer Umgebung, mit vollständiger Governance ab Tag eins.

Demo anfragen

Self-hosted · Bereitstellung innerhalb von Tagen · Pauschallizenz, unbegrenzte Nutzung · Vollständige IT-Governance

Ihre Infrastruktur

Lunnoa

Governance-Ebene

Steuern

SSOSCIMRBACAudit-Protokolle
  1. Erstellen

    WorkflowsAgentenWissensdatenbankenSkillsTools
  2. Automatisieren

    RoutingWorkflow EngineSchedulingAgent Jobs
  3. Beobachten

    LogsTracesJobverlaufGesprächeAusführungen