Vector Decisions.
Decision infrastructure for the moment between intelligence and action.
AI can generate an answer. An agent can propose an action. Vector Decisions asks the harder question: is this action authorized, supported, appropriate, and safe under these conditions?
The primitive is deliberately small and deterministic. It evaluates identity, delegated scope, authority windows, evidence, policy, consequence and human-gating rules, then produces a decision trace. Vector Decisions is live and working at vectordecisions.com — this page is the background on how and why it works.
From context to governed action.
Not every answer is “yes” or “no.”
A governed system can restrict scope, demand a human, escalate to another authority, route to a different capability, or substitute a safer action.
Run a decision, right here.
This is a small, illustrative version of the same primitive running the live platform. For the real thing, go to vectordecisions.com.
Should this agent be allowed to act?
Change the inputs. Vector Decisions evaluates authority, evidence, policy, consequence and context together.
The output is a governed decision, not a generated answer.
Run the example to produce a deterministic decision trace.
The system underneath.
GATRI and GIRL remain separate architectural directions. This page establishes the decision primitive first, so later assurance and routing systems have a stable vocabulary.
Not an “AI trust score.”
Not an LLM pretending to be a policy engine.
Not a replacement for security, legal, compliance, or human accountability.
The idea, live: authorization should be evaluated at the point of action, using explicit context, evidence, authority and policy. See it working at vectordecisions.com.
GATRI turns decision into assurance.
The next stage is infrastructure that can attest that the authority used by a decision was valid, scoped, current and attributable — and eventually make that evidence enforceable at execution time.
GATRI architecture →