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Energy & Utilities Cloud
Clean Energy Program Management Console Setup with AI Tools

Clean Energy Program Management Console Setup with AI Tools

With an AI coding agent and Salesforce setup automation, an Energy & Utilities admin takes an org from no clean energy program management capability to a configured clean energy program management console.

Required Editions

Available in: Lightning Experience
Available in: Enterprise, Unlimited, Developer, Professional, and Performance Editions

Directed from a command-line coding tool, such as Claude Code or Agentforce Vibes, the agent enables the required preferences and configures the Program Manager user, profile, permission sets, metadata, flows, and Data Processing Engine definitions that the program needs. It works headlessly through setup APIs and the Salesforce CLI, pausing at irreversible steps for the admin to confirm.

The setup is transparent and safe. Before making structural changes or deploying metadata, the agent runs a read-only baseline check to confirm idempotency so it doesn't duplicate existing work or hit unexpected blockers. During the run, it narrates each action live with actual API responses, and on completion, it prints a color-coded status table that serves as an audit log of the setup.

Scenario

Maya, an Energy & Utilities admin, needs the clean energy program management console stood up in a fresh org so her team can deploy energy-efficiency programs fast.

She doesn't want to figure out how to sequence complex dependencies across roughly 30 objects and multiple Setup nodes. That work includes enabling org preferences, creating Program Manager users and profiles, assigning permission sets across admin and integration users, deploying metadata picklist values, configuring flows, and setting up Data Processing Engine definitions.

She directs an AI coding agent to set up clean energy program management console. The agent reads the setup recipe, enables Outcome Management and Program & Benefit Management, creates and configures the Program Manager user, assigns the required permission sets, deploys supporting metadata, scheduler flow, and Data Processing Engine definitions.

What usually requires navigating an entire manual implementation guide becomes one guided conversation, taking the org from no capability to an operational console complete with an automated audit log and verification checklist.

 
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