AI orchestration, governance and control — in one plane.
Every agent in your organization — registered, checked against your policies before it acts, and evidenced against the frameworks your auditors ask about.
The same record for every binding law, soft law, standard and control framework governing artificial intelligence worldwide.
The question you have to be able to answer
Show me, for every agent in production, who owns it, what it touches, and how it scores against the frameworks we answer to — wherever we and our customers operate — today.
Most organizations can answer it with a spreadsheet, eventually, and usually stale. laibrary answers it from the live record, in a click.
Everything an agent does lands on one record.
Six capabilities, one audit trail.
Govern. Orchestrate. Remediate.
Knowing what is wrong is half of it. A finding without a fix path is just a longer list.
Govern
Every agent — on any framework — inventoried with an owner, a risk tier and the controls it has to meet in your industry and jurisdictions; discovered, not self-declared.
How governing works →Orchestrate
Agents call tools, data and each other inside policy, with every call gated, logged and replayable.
How orchestration works →Remediate
Every failing control, agent, group or shadow AI carries a fix path, and closing it requires evidence — not a checkbox.
How remediation works →Built against the frameworks that bind you — wherever you and your customers are.
Risk matrix
Essentials
Starting out — a first inventory of what you run.
Basic
Governing day to day, with policy in the call path.
Professional
Proving it — to an auditor, a regulator or a customer.
Custom
Regulated, or at scale — built around your frameworks, your jurisdictions, your procurement.