Impact Assessment
A structured evaluation to identify, analyze, and mitigate potential ethical, legal, and societal impacts of an AI system before deployment.
A formal process - often modeled after environmental-impact studies - where multidisciplinary teams map AI use cases to stakeholder groups, enumerate possible harms (privacy, bias, safety), score their severity and likelihood, and prescribe mitigation measures. It produces an “impact register” and action plan that must be approved by governance bodies before any production release.
Before rolling out an automated hiring screener, an HR department conducts an impact assessment: they simulate candidate pipelines, identify risks of gender bias, score them as high-impact, design a bias-mitigation plan (diverse training data, human review), and secure sign-off from legal and ethics committees.
“What used to take weeks of manual reviews and policy work is now structured and auditable in Enzai within minutes. It’s the first time AI governance has felt operational, not theoretical.”
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What problem does Enzai solve?
Enzai provides enterprise-grade infrastructure to manage AI risk and compliance. It creates a centralized system of record where AI systems, models, datasets, and governance decisions are documented, assessed, and auditable.
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How is Enzai different from other governance tools?
Can we start if we have no existing AI governance process?
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