Insurance Training Arm

Demo

Workforce Transformation Dashboard

1,500
Staff
92%
Non-Tech
14%
AI-Trained
View:
Reskilling Priority: Claims department needs 430+ staff trained
Top Performer: Operations at 55% AI readiness
Projected completion: Full AI-readiness by Q1 2027 at current pace
WAMA Assessment
Willingness, Ability, Motivation, Access diagnostic
Willingness85%
Ability70%
Motivation80%
Access75%
Department Overview
Workforce distribution by department

1,585

Total Employees

224
AI-Trained
556
In Progress
809
Not Started
AI Readiness Progress32%
Team Composition
Employee AI Readiness by seniority levels across teams
Skills Heatmap
AI skill readiness by department (% proficient)
SkillDisCusUndClaOpe
AI Fundamentals
48%
35%
52%
28%
75%
Prompt Engineering
32%
25%
38%
22%
72%
Data Literacy
55%
38%
72%
42%
78%
Process Automation
40%
28%
45%
33%
82%
AI Ethics
48%
30%
58%
26%
70%
No Readiness
Low Readiness
Moderate Readiness
High Readiness
Skills Gap Analysis
5 priority skill tracks with current vs target proficiency
AI FoundationsHigh
Current: 45%Gap: 35%Target: 80%
Process AutomationHigh
Current: 55%Gap: 30%Target: 85%
Data AnalyticsMedium
Current: 60%Gap: 15%Target: 75%
Customer AI ToolsHigh
Current: 35%Gap: 35%Target: 70%
AI GovernanceMedium
Current: 40%Gap: 25%Target: 65%
70/20/10 Learning Model
Blended learning approach distribution
70%
Formal Learning
20%
Social Learning
10%
Experiential

Our AI transformation program follows the proven 70/20/10 model: 70% on-the-job experience with AI tools, 20% social learning through peer coaching, and 10% formal training courses.

12-Month Transformation Roadmap
AI readiness progress vs target trajectory
Q1
Foundation
AI Literacy & Awareness
Q2
Adoption
Tool Training & Pilots
Q3
Integration
Process Embedding
Q4
Optimization
Advanced & Scale
Behavior Measurement
Behavioral change tracking on the job

Behavioral Indicators

  • AI tool usage frequency
  • Process compliance rates
  • Manager observations
  • Peer feedback scores

Measurement Flow

Training
Assessment
Tracking

30/60/90 day post-training behavioral observations with manager validation