About

The governing layer for the AI workforce

Enterprises are deploying AI agents that approve invoices, route escalations, recommend clinical actions, and execute procurement — autonomously, at machine speed. No platform in the enterprise stack defines what those agents are organizationally authorized to decide. Botaris does.

Our mission

Make every autonomous decision governed, accountable, and auditable. We give AI workers a mandate — not just a credential — and we prove, in real time, that every decision they make falls inside it.

Why authority is a new category

IAM platforms answer can this entity authenticate? IGA answers does it have the right entitlements? AI security answers is it behaving anomalously? None of them answer the question boards, regulators, and risk committees are now asking: what is this AI agent authorized to decide?

Authority is not access. Access is a gate — the system asks whether a request may proceed. Authority is a mandate — the organization defines, in advance, which decisions a worker may make on its behalf, under whose accountability, and within what scope. That requires a purpose-built platform.

Why independence matters

The platforms running your agents — Azure AI, Bedrock, Agentforce, Joule — cannot also be the ones grading their homework. Separation of duties demands an authority plane that is independent of, and agnostic to, every runtime and target system the enterprise touches. Botaris is built to be exactly that: one authority layer across every cloud, every framework, every agent.

What we believe

• Every AI worker must operate under defined, versioned authority.
• Every autonomous decision must be evaluated, recorded, and explainable.
• Humans must always be able to override, escalate, and audit.
• Governance must be operational and real-time — not documentary and periodic.