Measuring Success of AI Team
Can replicate similar style dashboards to measure effectiveness of different teams / organizations
Cost Savings by AI Product
Capacity Agent
Incorporates bottom-up activities and processes of roles and departments to achieve work. Differential created between current processes and new processes with AI products delivered to determine an impact to FTE change per activity and scaled up for total cost savings (Activities × Occurrences).
High Level Example
"TLF Agent" turns SAP/table shells into spec-as-code, auto-generates and QC's SAS/R TLFs with review-by-exception, cutting Oncology Biometrics per-cut effort from ~8 to ~3 FTE-weeks (~60%) while staying audit-ready.
Efficacy
Evaluation Set Scores by AI Product
Product Evaluation Standards
Each AI product maintains a curated evaluation set developed collaboratively between the AI team and oncology biometrics SMEs. Department leadership defines pass/fail thresholds for production deployment.
Evaluation Framework
Scores improve from 70% to 92% as agents learn from production feedback and model updates are deployed.
Team Performance
Performance Analytics
Track team velocity, product quality, and development efficiency as AI agents are integrated into workflows. Measures innovation speed (POCs), delivery acceleration (time to launch), adoption patterns (tool usage), and quality trends (bugs reported).
Current Performance
Team velocity improved from 3 to 13 POCs/month (+333%), while time-to-launch decreased from 45 to 21 days (53% faster) and bugs reduced by 75%.
Function Upskilling
Upskilling & Engagement
Track function growth, collaboration, and contribution patterns as employees develop AI/ML skills and participate in agent development. Measures expanding contributor base, innovation outputs, code contributions, and cross-functional collaboration through working groups.
Growth Overview
Contributor base grew from 8 to 26 people (+225%), with prototype submissions increasing 5.4x and working groups expanding from 2 to 7 active teams.
User Satisfaction
No metrics matter if stakeholders aren't happy with the products and methodologies.
Details
Continuous feedback collection through surveys, interviews, and usage patterns.
Survey Responses: 156
NPS Score: +68
Response Rate: 73%
[Set up satisfaction surveys]