Enterprise Assessment

AI Readiness Scorecard

Comprehensive framework for evaluating your organization's preparedness for AI adoption and transformation

Overall Readiness Score
72/100
Progressing - Ready for Pilot Programs
Technology Infrastructure
78%
Data Readiness
65%
Talent & Skills
58%
Governance & Strategy
82%

Key Performance Indicators

75%
75%
AI Project Success Rate
65%
65%
Data Quality Score
50%
50%
Staff AI Proficiency
80%
80%
Executive Buy-in

AI Maturity Model

1
Initial
Ad-hoc experiments, no strategy
2
Developing
Pilot projects, building capabilities
3
Defined
Clear strategy, governance in place
4
Managed
Scaled deployment, measurable ROI
5
Optimized
AI-native culture, continuous innovation

Risk Assessment Matrix

Low Impact
Med Impact
High Impact
High Likelihood
Monitor
2
1
Med Likelihood
Accept
3
Mitigate
Low Likelihood
Accept
Monitor
4
Low Risk
Medium Risk
High Risk

Top Threats Identified

Data Privacy Breaches
Sensitive data exposure through AI models
CRITICAL
Skill Gap Widening
Insufficient AI talent pipeline
HIGH
AI Bias & Ethics
Algorithmic fairness concerns
MEDIUM
Regulatory Compliance
Evolving AI legislation requirements
LOW

Recommended Enterprise Tools

Azure AI Studio
ML Platform
AWS SageMaker
ML Infrastructure
DataRobot
AutoML
Databricks
Data & Analytics
Fiddler AI
AI Monitoring
MLflow
MLOps

Readiness Checklist

Technology
  • Cloud infrastructure ready
  • API integration capabilities
  • GPU/compute resources available
  • ML pipeline automation
  • Real-time data streaming
People
  • Executive sponsor identified
  • AI Center of Excellence
  • Data science team hired
  • AI training programs
  • Change management plan
Process
  • AI strategy documented
  • Data governance framework
  • Ethics guidelines defined
  • Use cases prioritized
  • Success metrics defined

3-Year ROI Projection

$2M
$0.5M
Year 1
$1.5M
$3M
Year 2
$1M
$8M
Year 3
156%
Projected 3-Year ROI
18mo
Break-even Point
$7M
Net Benefit (3yr)