OpenRoper FieldAssistant — Deploy

Turn the plan into practice. FieldAssistant delivers technician-first workflows, harmonizes CMMS/SCADA/job logs, and instruments KPIs so you can deploy, observe, and learn from operations quickly and safely.

OpenRoper AI Strategy Ecosystem diagram highlighting FieldAssistant stage

FieldAssistant anchors the Deploy phase...putting designed workflows into the hands of operators.

What FieldAssistant Does

This is the operational layer that executes the TrailMap. It deploys guided workflows, captures structured evidence, and feeds KPI instrumentation—so you can measure Blueprint targets in the real world.

  • Technician-first guidance for triage, checks, and fixes with clear next steps.
  • Data harmonization across CMMS, SCADA, checklists, and job logs (schema-aligned).
  • Instrumentation for MTTR, repeat rolls, documentation quality, and recovered MWh.
  • Provenance & audit on recommendations, approvals, and actions taken.

Inputs & Outputs

Inputs

  • TrailMap pilot plan and workflow specs.
  • Access to read/append data per least-privilege scopes.
  • SOPs, safety rules, warranty constraints.

Outputs

  • Executed workflow runs with timestamps and outcomes.
  • Structured evidence for KPI deltas and ROI attribution.
  • Operator feedback to refine prompts/context and steps.

Example Deliverable — Workflow Snapshot

Triage → Recommend

  • Fault context: site, string, history
  • Top 3 likely causes
  • Safety/warranty flags

Technician Checklist

  • Step-by-step checks with photos
  • Parts/tools & SOP references
  • Supervisor approve if escalation

Evidence & KPIs

  • Auto-captured timestamps
  • Doc quality prompts
  • KPI events: MTTR, repeat roll

All recommendations, approvals, and technician actions are logged with provenance for audit and ROI attribution.

Deployment Discipline

FieldAssistant follows a practical cadence in production:

  1. Begin with outcomes (Blueprint KPIs).
  2. Normalize the facts (schema + data checks).
  3. Tune with guardrails (prompts, scopes, approvals).
  4. Prove, then scale (gated rollout).
  5. Track the value (automatic KPI events).
  6. Make it safe to trust (provenance & audit).
  7. Govern & improve continuously (handoff to StrategyBuilder).

What Comes Next

With pilot runs generating evidence, results flow into StrategyBuilder for governance, ROI verification, and scale decisions. If you want the full product view of FieldAssistant, See Full Solution.