Task-Boundary Mode How task-instance boundaries are drawn from the event stream. Applies to every Task SoP, Step SoP, and Variants view.
Stage Effort Map
where active time concentrates
Benchmark Measurement This finding is an observation that informs strategy — not a direct savings opportunity. It measures workforce behavior and AI readiness to guide where the savings-producing findings will have the greatest impact.

Description & Data Evidence

Across classified PV stages, 3.6 hours of active work were observed during the pilot. The heaviest stage is 'Intake' at 1.69 hrs (20.5% of total).

Self-Evaluation Scores

The platform grades each finding on four dimensions (1–5 scale). Low scores flag findings that need more data or clearer remediation before acceptance.

Overall 4/5
Actionability 3/5
Specificity 4/5
Remediation Alignment 3/5

Key Findings

  • Intake: 1.69 hrs (20.5% of total), avg dwell 2.21s, 465 cases, 8 users
  • Assessment: 0.7 hrs (8.5% of total), avg dwell 0.95s, 793 cases, 16 users
  • Case Advancement: 0.5 hrs (6.1% of total), avg dwell 1.11s, 378 cases, 14 users
  • Narrative: 0.34 hrs (4.2% of total), avg dwell 0.56s, 550 cases, 15 users
  • Triage: 0.31 hrs (3.7% of total), avg dwell 0.61s, 384 cases, 8 users
  • Case Review: 0.08 hrs (0.9% of total), avg dwell 0.45s, 198 cases, 12 users

Remediation Ideas

  • Focus automation/AI efforts on 'Intake' — highest time consumer
  • Pre-fill structured fields in Assessment to reduce manual data entry
  • Auto-generate Narrative drafts from case data using AI
  • Streamline Document Management with batch upload and auto-classification