Task-Boundary Mode How task-instance boundaries are drawn from the event stream. Applies to every Task SoP, Step SoP, and Variants view.

Opportunity Pipeline

0 Surfaced
0 Accepted
0 Remediating
0 Remediated
Opportunity Surfaced
High Integration 0/4 answered
14,200
hrs/yr
$1,065,022
savings
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
High AI Agent 0/3 answered
4,376
hrs/yr
$328,230
savings
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
Medium UX 0/3 answered
1,953
hrs/yr
$146,505
savings
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
Medium UX 0/3 answered
628
hrs/yr
$47,078
savings
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
High UX 0/3 answered
133
hrs/yr
$9,968
savings
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
Medium RPA 0/3 answered
22
hrs/yr
$1,628
savings
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
High AI Agent 0/3 answered
17
hrs/yr
$1,305
savings
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
High Integration 0/3 answered
12
hrs/yr
$938
savings
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
Medium Integration 0/3 answered
10
hrs/yr
$735
savings
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
Medium UX 0/4 answered
5
hrs/yr
$398
savings
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
Medium Integration 0/3 answered
2
hrs/yr
$112
savings
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
Medium AI Agent 0/3 answered
0
hrs/yr
$30
savings
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