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

Opportunity Lifecycle

1
Surfaced
2
Accepted
3
Remediating
4
Remediated
Status persists in your browser. In production, these actions notify team members, trigger workflows, and begin value-realization monitoring.
Calibrating — continuous monitoring active awaiting more data The pattern behind this finding has been detected, but the sample size within the 19-day pilot window is insufficient to produce a confident savings estimate. The agent continues to collect evidence — savings projections will appear as more data accumulates.

Automation Readiness Score

56
Medium
Pattern Frequency 0 hrs/yr (17 users)
Decision Complexity Cross-system orchestration
Data Structure Mixed structured/unstructured
Cross-App Scope Cross-application workflow

Description & Data Evidence

Users ping-pong between SharePoint ('Essential Processing Tools') and Excel Online for case tracking. 0 transitions detected with Nones avg gap. This context-switching overhead can be eliminated with an integrated tracking solution.

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 5/5
Actionability 5/5
Specificity 5/5
Remediation Alignment 5/5

Key Findings

  • 0 SharePoint<->Excel transitions detected
  • Avg gap between switches: Nones (near-instant, indicating forced context switch)
  • 0 cases, 0 users affected
  • Total gap time: None hrs during pilot

Case Evidence

Specific case IDs pulled from the pilot data where this pattern is most pronounced. In production, clicking a case opens its full event timeline.

Case ID Signal Context
2341786 33 events Across 3 apps
2334048 31 events Across 2 apps
2261134 31 events Across 3 apps
2258699 29 events Across 3 apps
2329808 28 events Across 3 apps

Validation Questions

0 of 4 answered
Before accepting this opportunity, work through the questions below with the relevant subject-matter experts. Your answers lock in the acceptance criteria and — when you toggle Share with Pyze — inform how our agents surface similar patterns in the future.
1
What specific data points are being copied from SharePoint into Excel?
If a small fixed set, a native Veeva dashboard eliminates the loop.
2
Is the Excel file a personal tracker or a formal 'Case Log' required by the department?
Determines whether to eliminate the Excel step or formalize it in-system.
3
For cases with 50+ switches, is the user performing a 'bulk' update for multiple cases or 50+ steps for a single case?
Drives whether the fix is bulk-edit or better reference data access.
4
Are there compliance rules forcing this work into Excel rather than Safety Vault?
Rules out governance requirement before proposing in-Veeva replacement.

Remediation Ideas

  • Integration: embed case tracking data directly in Veeva Safety dashboard
  • Replace SharePoint+Excel tracker with a purpose-built tracking module
  • RPA: auto-sync case status between Veeva and the tracking spreadsheet
  • Power Automate flow: update Excel tracker on Veeva case state change

Implementation Roadmap

Effort
Medium
Timeline
6-10 weeks
Primary Owner
Engineering + Data
Dependencies
  • SharePoint list schema documentation
  • Veeva custom object design
  • Migration plan for existing trackers
Phased Delivery
  1. Requirements & design (2 weeks)
  2. Veeva custom object build (3-4 weeks)
  3. Migration + training (2-4 weeks)

How Risk-Adjusted Savings Is Calculated

The risk-adjusted number is the annual savings multiplied by a composite factor of four independent dimensions. Each dimension is rated High (1.0×), Medium (0.8×), or Low (0.5×). See full methodology.

Detection 40% weight
High
Confidence the agent-detected pattern is real
Feasibility 25% weight
Medium
Ease of building the remediation
Adoption 20% weight
Medium
Likelihood users change workflow
Compliance 15% weight
High
Simplicity of PV validation path
0 hrs × 0.91 = 0 hrs / year
At 1,000 users: 0 hrs / year · $0.0M