Databricks Forward Deployed Engineering is introducing Decision Execution Platforms (DEPs) as a new analytics category focused on moving from signal to decision to execution to measured outcome, all on the customer’s own governed Databricks environment. Databricks positions FDE as an engineering-led model for delivering business outcomes with AI, built on the Lakehouse platform and closely tied to customer workflows.

What’s new

• Beyond dashboards – DEPs are designed to go further than surfacing insights by helping organizations connect signals, decisions, execution, and outcomes in one continuous loop.
• Built on the Databricks platform – The architecture described in the source brings together governed data and AI services such as Lakebase, Unity Catalog, Genie Agents, and agent orchestration on a single operational plane.
• Keeps governance at the center – Because the platform runs on the customer’s own Databricks instance, data, models, and operational workflows stay inside a governed environment with centralized controls.
• Turns decisions into something measurable – The goal is not just to recommend actions, but to help teams track what was chosen, what was executed, and how the actual outcome compared with the expected one.
• A practical enterprise use case is already underway – The source highlights an early retail deployment focused on fulfillment optimization, where planners, operational systems, and agent-driven workflows are being brought together around a named business outcome.

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