Task-Boundary Mode
How task-instance boundaries are drawn from the event stream. Applies to every Task SoP, Step SoP, and Variants view.
ROI Tracker
Commitment-ready savings, risk-adjusted projections, and the live lifecycle of every opportunity identified in the pilot.
Opportunity Pipeline
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Surfaced
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Accepted
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Remediating
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Remediated
Opportunity
Surfaced
High-Latency Handoffs in Follow-up SUSAR Cases
Sequential handoffs between users average 59h wait time (median 34h, max 307h). 41% of the 61 sequential handoffs exceed 3 days. Total of 3,597 hours of wait time across 44 cases in the pilot period.
Opportunity
Surfaced
gpteal Productivity Uplift — Adopter vs Non-Adopter Throughput
Analysts who have adopted gpteal process 9.1 cases per day on average, compared to 5.1 cases per day for the 5 non-adopters — a 78% throughput advantage. Handling time per case is similar across cohorts, suggesting the gain comes from reduced between...
Opportunity
Surfaced
Intake Session Fragmentation
'View Intake Processing' screen durations (wall-clock time on screen) vary enormously by case type: 'Follow-up Other' averages 3,778s vs 'Other' at 15s (256x ratio). Overall CV is 1725%, indicating extreme fragmentation. 863 intake sessions across 17...
Opportunity
Surfaced
Phobos-to-Veeva Context Switching
'View Processing Queue' in Phobos remains open for avg 149 min (median 22 min, max 3661 min) as a background session while users perform actual work in Veeva Safety, Word, and other apps. 64 such background sessions detected across 56 cases.
Opportunity
Surfaced
Fragmented Triage / Bulk Processing
Users switch cases every 14.7 events on average, indicating highly fragmented processing. 2424 case switches detected during the pilot across 16 users. Each switch incurs cognitive overhead and application reload time.
Opportunity
Surfaced
Veeva-Phobos Synchronous Handshake
After completing an action in Veeva Safety, users manually switch to Phobos to click Advance/Proceed. Found 193 such sequences across 162 cases and 7 users with an avg gap of 30.7s. This deterministic handshake is a prime RPA candidate.
Opportunity
Surfaced
GenAI Narrative Drafting
Users spend avg 15.0s per interaction on description fields in Veeva. Peak dwell 79.8s (SUSAR). 'Generate Narrative from Outline' exists but has 0ms dwell = background trigger, after which users heavily edit. ~1,024 hrs/yr at scale.
Opportunity
Surfaced
Acrobat-Word Narrative Drafting Loop
Users switch between Acrobat and Word every 8-11s during narrative drafting, generating 427 rapid transitions across 104 cases in the pilot. This copy-paste-verify loop between source PDFs and Word narratives is a prime candidate for an integrated na...
Opportunity
Surfaced
Cross-App Translation Verification Loop
Users on 'View Localized Cases' in Phobos switch to Veeva Safety to verify data and return, averaging 1 round-trips per case. 134 total Phobos->Veeva->Phobos round-trips detected across 114 cases, with avg 5671.8s spent in Veeva per trip.
Opportunity
Surfaced
Delete-Confirm Loop
Users perform rapid Delete Item -> Continue Workflow loops, with up to 25 deletions per case in 5.0 minutes. 289 such loops detected across 86 cases. A bulk-delete UX or single-confirmation pattern would eliminate this.
Opportunity
Surfaced
MedDRA Lookup Loop
Users leave Veeva Safety to look up MedDRA codes in external tools (MEDDRABROWSERWIN, tools.meddra.org), then return. 28 round-trips detected across 16 cases, with avg 0.0s per MedDRA lookup. Integrating MedDRA search within Veeva would eliminate the...
Opportunity
Surfaced
Intelligent Case Routing
Triage coordinators handle 210 cases with only 2.6 events each = rapid shallow review. AI could pre-classify cases by seriousness, expectedness, and report type to prioritize and auto-route, reducing manual triage effort.
Risk-Adjusted Annual Savings
Confidence-weighted view of the annual savings at 17 users. Each opportunity is scored on four dimensions — detection, feasibility, adoption, and compliance — to produce a realistic implementation estimate. How we compute this →
30,770
Unadjusted Annual (17 users)
$2.3M / yr
0.9×
Composite Risk Factor
Weighted across all opportunities
27,707
Risk-Adjusted Annual (17 users)
$2.1M / yr
1,629,899
Risk-Adjusted at 1,000 Users
$122.2M / yr
Per-Opportunity Risk Drivers
| Opportunity | Detection | Feasibility | Adoption | Compliance | Factor | Unadjusted / yr | Risk-Adjusted / yr |
|---|---|---|---|---|---|---|---|
| High-Latency Handoffs (SUSAR Follow-up) | High | Medium | High | Medium | 0.92× | 18,000 hrs | 16,560 hrs |
| Narrative Drafting Bottleneck | High | Medium | Medium | Low | 0.84× | 6,000 hrs | 5,040 hrs |
| Cross-App Translation Verification | High | Medium | Medium | Low | 0.84× | 2,000 hrs | 1,680 hrs |
| Intake Session Fragmentation | Medium | High | Medium | High | 0.88× | 1,500 hrs | 1,320 hrs |
| Acrobat-Word Narrative Drafting Loop | High | High | High | Medium | 0.97× | 1,200 hrs | 1,164 hrs |
| Phobos-to-Veeva Context Switching | High | Medium | High | Medium | 0.92× | 600 hrs | 552 hrs |
| Synchronous Case Advancement | High | High | High | Medium | 0.97× | 500 hrs | 485 hrs |
| Fragmented Triage & Bulk Processing | High | High | Medium | Medium | 0.93× | 480 hrs | 446 hrs |
| Repetitive Data Cleanup (Delete-Confirm) | High | High | High | Medium | 0.97× | 250 hrs | 242 hrs |
| SharePoint-Excel Tracking Loop | High | Medium | Medium | High | 0.91× | 240 hrs | 218 hrs |
| Total | 0.9× | 30,770 hrs | 27,707 hrs | ||||
Detection: confidence the agent-detected pattern is real ·
Feasibility: implementation ease ·
Adoption: likelihood users change workflow ·
Compliance: simplicity of PV regulatory/validation path