Field Operations · Client-facing
Field Service Vision QA
Technicians photograph completed installs; the model checks against the install standard and flags defects before the crew leaves site.
Business owner
Helen Okafor
Executive sponsor
Dana Kirsch, VP Field Operations
Start date
Apr 13, 2026
Target rollout
Feb 26, 2027
Completion
ROI
Finance-reviewed, annualized where noted
Hours saved / mo
120
Hours saved / yr
1,440
Cost avoided
$21K
Margin impact
$67K
Health & Risk
Critical — accuracy below the field-safety bar; pilot limited to 2 depots.
Blockers
- Low-light performance
- Field device camera fragmentation
Risk flags
- Worker imagery captured incidentally in background of photos
Mitigation notes
On-device blur for background people shipped Aug 8. Low-light training set collection runs through October; decision gate Nov 15.
Activity feed
Synced from connected delivery systems
- S
#field-ai: depot 12 reported false defect calls at dusk
3 days ago
- J
FLD-58 open — low-light dataset collection
5 days ago
PISMO Output QA
Last validation run Aug 12, 2026 · 15:35 UTC · 88 samples
Reviewer notes · Arun Patel
Low-light and rain conditions drive most failures. Defect recall falls to 71% on outdoor evening jobs.
Governance posture
NIST AI RMF-aligned control checks
- Risk AssessmentFlagged
Safety-adjacent use case, elevated tier.
- Bias MitigationNeeds Review
Lighting/skin-tone robustness study incomplete.
- Data PrivacyFlagged
Incidental worker imagery — DPIA in progress.
- TransparencyNeeds Review
Technician-facing disclosure being rewritten.
- SecurityPassed
Images encrypted in transit and at rest.
- Human OversightPassed
Supervisor confirms every defect call.