Capability
Can the connected system actually perform the proposed action?
Just the facts
Governance for
autonomous AI.
Clear rules for what AI may do.
We’re building a control layer between an AI’s proposal and the action it wants to take. Your team defines the limits; UBIKITOS checks the proposal against them and records the reason for the decision.
In plain language: an AI may prepare an offer, but sending it is a separate decision. Check the facts, the discount limit and any promises before it reaches the customer. Missing facts mean waiting. An exception means asking the right person.
AI proposes. UBIKITOS governs.
Updated 29 September 2026 · Product brief
AI systemProposed action
UBIKITOSThe governance boundary
- Capability
- Evidence
- Authority
- Consequence
Operational decision
- Allow
- Defer
- Escalate
- Block
Relevant conditions preserved for inspection.
The four evaluations
Before action
reaches the world.
Four evaluations. One governed boundary.
Evidence
Are the grounds for acting sufficient, current and reconstructable?
Authority
Was the action explicitly permitted within the relevant limits?
Consequence
How serious, reversible or uncertain would a mistake be?
The operating model
A decision.
And a record of why.
Propose
An AI system proposes an action.
Evaluate
Assess capability, evidence, authority and consequence.
Govern
Allow, defer, escalate or block the action.
Record
Preserve the decision and its relevant conditions for inspection.
The distinction
Capability is not permission.
Observability shows what a system did. Governance determines what it may do next—and preserves the reason.
Models and tools can propose or execute actions.
Policy, evidence, authority and consequence shape the decision.
The relevant conditions and outcome remain inspectable.
Questions people ask
A clearer starting point.
What is governance for autonomous AI?
It is the runtime set of boundaries, evidence checks, permissions and escalation rules that determine whether an AI-proposed action may reach the world.
Where does UBIKITOS sit?
Between an AI system and consequential action. It evaluates capability, evidence, authority and consequence, then returns allow, defer, escalate or block.
What makes a decision reconstructable?
The record keeps the proposal, material evidence, authority, policy version, consequence assessment, outcome and reason together.
Continue reading
From category to practice.
Original UBIKITOS explainers for teams moving autonomous work into consequential systems.
Governed-workflow pilot
Start with one workflow.
Running agents in production? Start with one consequential workflow and one action class. Measure what changes when the boundary is explicit.