The agent governance landscape in 2026
Before choosing a tool, decide whether you lack work execution, run evidence or permission control. Below are example layers; Gorgos remains a KOD.AI internal alpha.
What layers actually exist?
Four, and confusing them is the most common source of misunderstanding when choosing a tool. Each answers a different question.
- Orchestration: who does the work and in what order. Workflow tools and agent platforms live here.
- Observability: what happened. Run traces, evaluations, annotation queues.
- Oversight and policy: what may execute and what needs consent. This is where Gorgos sits.
- Governance and compliance: documentation, risk registers, organisation-level regulatory reporting.
Who operates in each?
These examples are for orientation, not judgement. Prices appear only where they are public.
- Orchestration: n8n, Make, Zapier, cloud vendors' agent platforms.
- Observability: LangSmith, Langfuse, run-tracing and evaluation tooling.
- Agent oversight in large organisations: Microsoft Agent 365, Zenity, Arthur.
- Governance and compliance: Credo AI, Holistic AI, FairNow.
Where does Gorgos sit?
The first scope to evaluate combines work coordination with permissions, approvals and evidence. This does not mean replacing every existing automation or risk documentation system.
Status: internal alpha developed for selected KOD.AI workflows. Public examples do not establish a customer deployment. A pilot should verify a concrete output and execution boundaries against your sources.
Compare tools against the same workflow: what output you receive, who decides, what happens on failure and what it costs to operate.