The Authority Control Plane
for Autonomous AI Workers
Your AI agents can already act. Botaris decides what they are authorized to decide — and proves it, every time, to your board, your auditors, and your regulators.
Humans define authority. Botaris enforces it.
The unanswered question
“What is this AI agent authorized to decide?”
IAM proves who an agent is. IGA certifies what it can access. Runtime security watches how it behaves. None of them define, enforce, or audit the decisions an agent is allowed to make on your behalf.
That gap — between what an agent can technically do and what it has been organizationally authorized to decide — is the single most consequential ungoverned risk in enterprise AI today. Botaris closes it.
The Six Pillars
One control plane. Every authority decision.
Authority Registry
A system of record for every AI worker — who owns it, what it's for, and what decisions it is empowered to make.
Decision Policy Engine
Structured, machine-readable policies that translate organizational mandates into allow, escalate, block, or require-approval outcomes.
Runtime Evaluation
Every API call, tool use, and decision evaluated in real time against the agent's authority — before it executes.
Trust Engine
A continuously updated trust score for every agent, derived from decision quality, policy compliance, and override history.
Decision Ledger
A tamper-evident audit trail of every decision, approval, escalation, and human override — ready for regulators and the board.
Orchestration & Remediation
Automated containment: revoke, rotate, quarantine, escalate to ITSM/SOAR, or pause an agent the moment authority is breached.
Give every AI worker a mandate — not just a credential.
We're working with a small group of design partners deploying agentic AI in regulated environments. Join the early access program.
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