What a pilot looks like
A utility pilot with AIroraSense is designed to be lightweight, practical, and aligned to real post-work QA/QC workflows. The objective is to validate how AIS Grid can organize field imagery into structured, review-ready outputs that support consistent documentation and decisioning.
Pilot outcomes
Typical pilot outcomes include:
- A defined inspection scope tied to one work type, program, or operating area
- Structured inspection outputs (detections, exceptions, evidence) aligned to your QA/QC priorities
- A repeatable workflow for capture, review, and reporting
- Baseline metrics to quantify impact and guide expansion
Recommended scope
Start with a focused scope that is operationally meaningful but easy to execute:
- 1 operating district or targeted program area
- 1–3 work types (example: storm hardening, pole changeouts, equipment installs)
- 30–90 days of field activity (or a defined set of work orders)
- Existing field photo capture, if available, to avoid extra burden
The best pilot scopes use real work already happening. Minimal process change, maximum learning.
What you provide
We keep inputs simple. Typical pilot inputs include:
- Field photos (existing capture or a light capture guide)
- Work order identifiers and basic metadata (date, location, work type)
- Relevant spec references (as applicable) to align review expectations
- A point of contact for QA/QC alignment and pilot feedback
If certain data fields are not available during pilot, we can proceed with what you have and iterate.
Pilot workflow
Kickoff and scope. Align on work types, success criteria, and what “good” looks like for post-work review.
Capture alignment. Confirm how photos are collected today and introduce a light guide if needed.
Model and output configuration. Map detections and exceptions to your priorities and reporting expectations.
Review cadence. Establish a weekly or bi-weekly review to validate results and refine the output format.
Readout and next-step plan. Summarize results, baseline metrics, and an expansion plan for broader work types or districts.
Typical timeline
- Week 1–4: Scope, data alignment, capture approach
- Week 5–8: Initial outputs, review cadence, refinements
- Week 8–16: Stabilize outputs, quantify results, executive readout
- Week 17–24: Repeat results, validate findings, human review inspections
Timeline depends on work volume, photo availability, and how quickly feedback cycles occur. Plan, Do, Check, Adjust, Repeat.
Success criteria
Success is defined with you up front. Common measures include:
- Usefulness of structured outputs for your QA/QC teams
- Clarity of evidence and documentation for auditability
- Reduction in manual effort for triage and reporting
- Improved visibility into compliance trends across work
Interested in a pilot?
If you’re considering a pilot, we can quickly identify a focused scope that fits your current workflows and delivers meaningful learning. Executive conversations are welcome.