LS
LifeSciencesIQ
Life Sciences Operations Intelligence Platform · Validation · Quality · Regulatory · Contamination Control
AI learning from 2,314 life sciences outcomes
ENV: PROD · ROLE: QA DIRECTOR
Dashboard
TrendIQ 10
DecisionIQ 8
ActionIQ 8
EffectivenessIQ 22
Life Sciences Operations Intelligence
Continuous compliance readiness, quality intelligence, and contamination control across all sites and service lines
◊ Knowledge graph: 84,217 linked artifacts
Audit Readiness Score
94%
↑ 6pts vs Q1
Validation Coverage
91%
3 gaps in review
Investigation Cycle Time
-38%
↑ vs prior 6-month avg
Expert Time Recaptured
14hrs/wk
↑ Per senior QA specialist
Open Compliance Risks
7
3 critical — action required
Continuous Intelligence Loop
Signal → Decision → Execution → Outcome → Organizational Learning
● Active across all modules
TrendIQ
10 active signals
→
DecisionIQ
8 initiatives
→
ActionIQ
7 in execution
→
EffectivenessIQ
22 outcomes learned
Investigation Cycle Time — 12-Week Trend
Days from deviation detection to CAPA closure, by domain
Expert Time Recaptured
Hours/specialist/week saved by AI-assisted retrieval
Validation Coverage Health
Documentation linkage by validation type
Signal Mix — Last 30 Days
Active intelligence signals by domain
AI Confidence Distribution
Across all active recommendations
Top Compliance Risks — AI-prioritized
Highest-impact items pulled from TrendIQ
AI Operational Copilot
Live workflow optimizations the system is recommending
TrendIQ — Life Sciences Signal Detection
AI-detected compliance, quality, and contamination signals from LIMS, MES, CAPA systems, EBR, and regulatory documentation
● Connected to 9 life sciences systems
Active Signals
10
↑ 4 this week
Pattern Clusters
5
2 emerging
Cross-Domain Correlations
7
4 high-strength
RCAs in Progress
4
Avg conf 88%
AI Recommendations
5
Pending review
Signals 10
Patterns 5
Correlations 7
Root Cause Analysis 4
Recommendations 5
DecisionIQ — Initiative Management
Active life sciences initiatives created from accepted signals, with AI-suggested follow-on tasks and expert-in-the-loop owner assignment
8 active initiatives 6 AI suggestions pending
AI Continuously Recommending
The system is learning from 2,314 historical life sciences outcomes to improve every recommendation below
Initiative owners
92% acceptance
Task owners
87% acceptance
Closure paths
79% accepted
Follow-on tasks
68% accepted
ActionIQ — Execution Coordination
Two-tier Kanban: initiatives at the top, task drill-down on click
Initiatives Kanban
AI Operational Copilot
Live workflow optimizations across the board
Automation Opportunities
Workflows AI can orchestrate end-to-end (with QA Director signoff)
EffectivenessIQ — Organizational Learning
What worked, what failed, and how the system is getting better at life sciences compliance recommendations
● Continuous learning active
Outcomes Captured
2,314
↑ 148 this month
SME Corrections
187
→ model refinement
Initiative Success Rate
84%
↑ from 71% (Q1)
AI Recommendation Accuracy
91%
↑ 14pts vs baseline
Failed Closures Studied
34
Root-caused
Recent Learning Events
Outcomes from closed initiatives feeding back into the recommendation model
Improvement Over Time
Recommendation acceptance rate by quarter
What's Working (Reinforced)
Patterns the AI is doubling down on
What's Not Working (Down-weighted)
Patterns the AI is moving away from
Add Custom Task
AI has pre-filled this based on the initiative's closure path
AI Pre-fill — Suggestions below are editable. Owner defaults to AI's recommendation.