Cloud, private cloud or on-premise: where your AI should run
A decision matrix by data sensitivity and criticality: total cost, sovereignty, open versus proprietary models, and exit strategy.
3 publications
A decision matrix by data sensitivity and criticality: total cost, sovereignty, open versus proprietary models, and exit strategy.
API contracts, CDC vs. batch, idempotency, identity propagation, and load limits: the engineering of an anti-corruption layer between AI and core systems.
Legacy integration patterns explained for the people who approve budgets — without rewriting the core or becoming hostage to a proprietary connector.
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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