Definition: Enterprise AI is artificial intelligence designed and operated to meet the needs of large organizations, including security, compliance, integration with existing systems, reliability and scale.
A consumer chatbot can be general and occasionally wrong. Enterprise systems work on proprietary data, connect to systems of record such as ERP and CRM, must respect access controls and audit rules, and are judged by measurable results in a specific workflow.
Data residency and private networking, single sign-on and role-based permissions, logging for audit, PII redaction, vendor and model risk review, uptime targets, and cost controls. An LLM gateway and an evaluation suite are common shared building blocks.
Most enterprises mix packaged tools for generic tasks with custom systems where their data or process is a differentiator. The guide on build vs buy AI walks through the trade-offs.
Ryz engineers work in your AWS or Azure accounts, repos and CI, so enterprise AI systems are built to your security and compliance standards from day one. Trusted by Fortune 500 engineering teams; see case studies.
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