Technical readiness checklist for AI in production
Eight verifiable blocks, each with required evidence, to decide whether an AI system is ready for production — not just for a demo.
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Eight verifiable blocks, each with required evidence, to decide whether an AI system is ready for production — not just for a demo.
Lexical plus vector search with result fusion, source-inherited ACL applied at query time, revocation, multi-tenancy, and automated leakage tests.
How a corporate AI gateway becomes the single point of egress — identity, routing, DLP on request and response, cost limits and shadow AI blocking.
Put it to work
Everything we cover here — AI governance, legacy system integration, audit trails and preserved corporate knowledge — is available on the e.works platform at eworks.cloud.
e.works infrastructure on AWS
A managed environment protected by e.works on AWS, with encryption, per-company isolation, backup and high availability.
On-premises, in your environment
The same platform running in your company's data center or private cloud, when data sovereignty requires that nothing leaves your perimeter.
In either model your data stays yours — with access control, audit logging, configurable retention and guaranteed availability.
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