Ridgeline AIAn Element 29 Company
Engineers reviewing operational systems
// Build / FDE

Forward Deployed Engineering for real operations.

FDE pods run mission discovery, ontology sprints, workflow mapping, prototype-to-production, deployment support, operator feedback loops, and production hardening.

  1. Step 01

    Mission Discovery

    Identify the operational decision, workflow, users, and constraints that matter.

    Decision mapUser mapWorkflow map

  2. Step 02

    Data & Ontology Sprint

    Map assets, people, places, tasks, risks, costs, approvals, and decisions into a working model.

    Source mapObject modelIntegration plan

  3. Step 03

    Prototype in Weeks

    Deploy a focused application against real data with sample decision rooms.

    Working appSample decision roomUser feedback

  4. Step 04

    Production Hardening

    Add permissions, audit trails, integrations, governance, and deployment controls.

    RBACAudit trailDeployment controls

  5. Step 05

    Expand the Operating Layer

    Extend into adjacent workflows so every deployment compounds on the shared ontology.

    Adjacent workflowsNew applicationsShared ontology
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