Execution Intelligence Dashboard
Merck Safety Operations · PharmaCovigilance Pilot Analysis · 1108 cases across 17 analysts
★ Total Savings Opportunity Identified
Based on 19-day pilot analysis. See Methodology for projection assumptions. Risk-adjusted view below.
Pilot Period (19d, 17 users)
2,339 hrs
$175,425
Annual (17 users)
30,770 hrs
$2.3M per year
Projected (1,000 users)
1,810,000 hrs
$135.8M per year
57.6%
Work Outside System of Record
32,289 swivel-chair events
68.5%
Signal from Pyze Inside-Out
vs 31.5% from Task Mining
56,012
Events Captured
455 distinct activity types
25
Findings Surfaced
By 6 autonomous agents
Top 10 Opportunities by Savings
| Opportunity | Type | Impact | Annual (17 users) | $ Value | At 1,000 Users | $ Value | |
|---|---|---|---|---|---|---|---|
| High-Latency Handoffs (SUSAR Follow-up) | Integration | High | 18,000 | $1,350,000 | 1,058,824 | $79.4M | View → |
| Narrative Drafting Bottleneck | AI Agent | High | 6,000 | $450,000 | 352,941 | $26.5M | View → |
| Cross-App Translation Verification | AI Agent | Medium | 2,000 | $150,000 | 117,647 | $8.8M | View → |
| Intake Session Fragmentation | UX | Medium | 1,500 | $112,500 | 88,235 | $6.6M | View → |
| Acrobat-Word Narrative Drafting Loop | Integration | High | 1,200 | $90,000 | 70,588 | $5.3M | View → |
| Phobos-to-Veeva Context Switching | Integration | Medium | 600 | $45,000 | 35,294 | $2.6M | View → |
| Synchronous Case Advancement | RPA | Medium | 500 | $37,500 | 29,412 | $2.2M | View → |
| Fragmented Triage & Bulk Processing | UX | High | 480 | $36,000 | 28,235 | $2.1M | View → |
| Repetitive Data Cleanup (Delete-Confirm) | UX | Medium | 250 | $18,750 | 14,706 | $1.1M | View → |
| SharePoint-Excel Tracking Loop | Integration | Medium | 240 | $18,000 | 14,118 | $1.1M | View → |
| Total | 30,770 | $2.3M | 1,810,000 | $135.8M | |||
AI Readiness & GenAI Impact
gpteal Adoption (Merck's GenAI Tool)
9
of 17 Adopted
460
Total Interactions
91
Cases Assisted
Analyst 01
187 evts
Power
Analyst 10
91 evts
Regular
Analyst 09
70 evts
Power
Analyst 13
41 evts
Regular
Analyst 02
31 evts
Regular
Analyst 12
19 evts
Light
Analyst 08
9 evts
Light
Analyst 05
8 evts
Light
Analyst 03
4 evts
Minimal
+ 8 analysts with zero gpteal usage
GenAI Savings Potential
AI-addressable work identified across narrative drafting, source document extraction, MedDRA coding, and translation verification. Projected savings if GenAI tools are fully adopted.
| Scenario | Hours/yr | $ Savings |
|---|---|---|
| AI-addressable work identified (17 users) | 9,200 | $690,000 |
| 30% reduction — full gpteal adoption (17 users) | 2,760 | $207,000 |
| 50% reduction — optimized AI workflows (17 users) | 4,600 | $345,000 |
| Projected: 30% reduction at 1,000 users | 162,353 | $12.2M |
| Projected: 50% reduction at 1,000 users | 270,588 | $20.3M |
Current state: 9/17 analysts use gpteal, but only 2 are power users. Closing the adoption gap to 100% at power-user rates is the first step to realizing these savings.
Autonomous Agents
Rework
4 findings
Detects cross-application round-trip patterns where analysts leave Veeva Safety, perform work in another app, and return — surfacing hidden swivel-chair waste.
652
hrs/yr savings potential
Cycle Time
4 findings
Measures wall-clock case duration, decomposes wait vs. active time by PV stage, and identifies handoff bottlenecks.
16,154
hrs/yr savings potential
Handling Time
4 findings
Computes active touch time per case, compares analyst efficiency, and identifies where effort concentrates across PV stages.
0
hrs/yr savings potential
Automation
4 findings
Mines repetitive, deterministic click sequences that can be automated via RPA, macros, or system integration.
160
hrs/yr savings potential
AI Discovery
4 findings
Identifies judgment-heavy work — drafting, classification, coding, translation — where AI agents can augment human analysts.
18
hrs/yr savings potential
AI Effectiveness
5 findings
Measures adoption, speed impact, and task context for Merck's existing GenAI tool (gpteal) — an early signal of AI readiness.
4,376
hrs/yr savings potential
Data Source Depth: Pyze Inside-Out vs Task Mining
Pyze captures 68.5% of signal via JavaScript instrumentation deployed inside Veeva Safety, Phobos, and Vault applications. Traditional task mining captures 31.5% from desktop monitoring.
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The ROI Tracker contains the opportunity pipeline with lifecycle status, the risk-adjusted savings breakdown, and per-opportunity risk drivers.