What your organization can own

Each engagement is set up to leave your organization owning the layers in its agreed scope.

Layer You can own Still depends on
Data pipelines Intake and validation code, data contracts, run history Your source systems and their export formats
Analysis Versioned transformations, indicators, evaluation sets The database platform you choose
Models The interface your applications call, model choice, prompts, evaluation results Open-source license terms, operating system, drivers
Records Export and recovery procedures for every data store created The storage you supply
Knowledge Architecture records, operating procedures, trained staff and fellows Staff retention

An engagement can include a written reason and exit path for each build-or-buy choice.

The lead's experience at his employer

  • Not another pilot. At his employer, Justin Jones leads the team that runs AI tools in production across a multi-company portfolio in media, retail, hospitality and financial services.
  • Not paying by the row to move your own data. Pipelines his team built keep append-only raw history, and the company owns the ingestion code and data contracts.
  • Not adding a SaaS seat for every workflow. His team replaced a SaaS time and billing tool with a company-owned finance platform whose change records name the person who acted.
  • Not betting on one AI vendor. The AI coding tools his team built hand a task from one agent provider to another.