Embedded AI
AI capabilities or features that are integrated directly into third-party software-as-a-service (SaaS) platforms or enterprise tools.
Unlike standalone AI models, embedded AI often arrives as a silent feature update to existing tools (e.g., a CRM adding predictive scoring). These systems are difficult to discover because they don't trigger new procurement workflows, yet they still process enterprise data and may trigger regulatory obligations if used for high-stakes decisions.
An HR department's payroll software adds an embedded AI feature that automatically flags employees for promotion based on performance data, triggering the need for a bias assessment under employment law.
“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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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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