A Private Enterprise Judgment Set formalizes your own experts’ tacit pattern recognition — how they read a consequential situation, which signals matter, which boundaries apply, and which action is right — into a governed, versioned standard your humans and AI agents are trained on and certified against inside the Kataclyzim Platform.
What the engagement produces
Expert-intelligence capture
Governed standard
Scenario coverage
Evaluation criteria
Human or AI subject scope
Evidence requirements
Revalidation triggers
The engagement, in one line: bring your experts and the humans or AI agents who represent you. Kataclyzim formalizes your governed standard, trains against it, stress-tests with scenarios, evaluates, certifies or refuses, preserves the evidence, and revalidates as your standard evolves. Priced by certification scope and organizational complexity — how certification is priced →
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Why govern your own
Every enterprise trains to its own playbook, but almost none can evaluate against it. A governed standard turns institutional judgment into something you can hold a new hire, a vendor's agent, or your own automation to — consistently, with evidence.
And because the standard is yours, so is the bar: Kataclyzim governs the evaluation integrity; your organization owns what "ready" means.
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Financial control
Owning the expert standard is also a financial-control mechanism. It gives leadership a stable answer to two board-grade questions: what exactly are we paying this agent to become good at — and what evidence must exist before we expose more capital, customers or workflow to it?
Part of the Kataclyzim Platform
A Private Enterprise Judgment Set captures how your best people decide and governs it as a versioned standard. It is used inside the Kataclyzim Platform to train, evaluate, certify, monitor, and revalidate humans and AI agents — not delivered as a document.
Your organization should not have to explain the same expert standard independently to every employee, vendor, model, and agent. Kataclyzim governs it once so it can be taught, tested, applied, and measured repeatedly.