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Selected experience

Moving an AI application into company-controlled infrastructure

Migrating an AI application off a third-party platform into owned infrastructure for better governance, control and cost visibility.

Context

An AI application ran on a third-party platform. As usage grew, so did cost and the need for control over data, configuration and deployment.

Challenge

The organization wanted ownership of the application and its data, with clearer governance and predictable cost, without a disruptive rewrite.

Approach

  • Mapped the application’s data, storage, functions and secrets dependencies.
  • Migrated the database, object storage and serverless functions into owned infrastructure.
  • Moved secrets into managed secret storage and hardened access.
  • Established hosting and deployment under the organization’s control.

Workstreams

Database, storage, serverless functions, secrets and hosting migration.

Outcome

Improved ownership, governance and cost control, with the application running on infrastructure the organization fully controls.

Lessons

Owning the platform for AI workloads is less about any single component and more about control: of data, of cost and of the deployment path.

Technologies

  • Serverless functions
  • Managed database
  • Object storage
  • Secrets management

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