AI tools, agents, workflows, and internal assistants are already becoming part of daily work. Pristan gives enterprises one governed catalog for that new operating layer.
Employees and teams adopt useful AI tools faster than security, IT, and finance can inventory them.
Uncataloged agents create blind spots in ownership, access, data movement, auditability, and cost.
Make registration and governance part of the normal agent lifecycle, not a cleanup project after adoption.
Banning AI pushes people toward personal accounts and unmanaged tools. Letting everything run freely creates security, compliance, ownership, and cost exposure. Pristan is designed for the third path: catalog every agent, then govern its lifecycle from day one.
See providers, agents, workflows, internal AI apps, and owner records in one catalog instead of chasing scattered usage across teams.
Track registration, approval, access, ownership, review, exceptions, and retirement around each agent record.
Track usage and spend by provider, team, user, owner, and agent so AI becomes accountable infrastructure.
We believe the winning enterprise AI platform is not the one that blocks the most tools. It is the one that makes approved, owned, and reviewable AI easier than unmanaged workarounds.
That is why Pristan starts with the catalog: every agent needs a record, owner, purpose, policy, lifecycle state, and evidence trail.
Our BYOK model keeps provider relationships, API keys, billing, and data ownership with the customer. Pristan is the catalog and governance layer - not an AI token reseller.
Pristan is for teams that want AI adoption to scale safely - with clear ownership, strong controls, and a product experience people will actually use.
You cannot govern agents you cannot name, assign, approve, review, or retire.
Your keys, your contracts, your billing, your deployment boundary. Pristan adds governance without taking over the AI supply chain.
Every agent should be understandable later: who owned it, who used it, what data it touched, which policy applied, and what it cost.
The goal is not to fight adoption. The goal is to make the secure path more useful than the workaround.
Bring your agent inventory, access policies, and evaluation goals. We will help your team find a practical starting point for governed AI.