AI Readiness Assessment Tool
Amplification Transformation Framework
📱 Mobile Users
This assessment is optimized for desktop/tablet viewing. For the best experience, consider completing this on a computer. You can still complete it here by scrolling horizontally through the assessment tables.
🎯 Assessment Purpose
This assessment tool helps you evaluate your organization's readiness for AI transformation across five critical dimensions. Rate your organization from 1 (significant gap) to 5 (exceptional strength) on each element. You'll receive a detailed summary of your results via email.
📋 Contact Information
1. Data Readiness
Element | 1 (Significant Gap) | 3 (Moderate Readiness) | 5 (Exceptional Strength) | Your Score |
---|---|---|---|---|
Data Quality
|
Data is inconsistent, incomplete, and often inaccurate | Data is generally reliable with known quality issues | Comprehensive data quality management with regular auditing |
|
Data Accessibility
|
Data is siloed and difficult to access | Most data is accessible but requires effort | Data is easily accessible through well-designed systems |
|
Data Governance
|
No formal data governance exists | Basic governance structures in place | Comprehensive governance with clear ownership and policies |
|
Data Infrastructure
|
Limited infrastructure for data storage and processing | Adequate infrastructure with some limitations | Robust, scalable infrastructure supporting advanced analytics |
|
Data Security
|
Minimal security controls | Standard security measures in place | Comprehensive security with regular testing and updates |
|
Priority Improvement Actions for Data Readiness:
2. Skills Readiness
Element | 1 (Significant Gap) | 3 (Moderate Readiness) | 5 (Exceptional Strength) | Your Score |
---|---|---|---|---|
Technical AI Expertise
|
No internal AI expertise | Some AI expertise in isolated pockets | Robust internal AI capabilities across multiple disciplines |
|
General AI Literacy
|
Minimal understanding of AI across organization | Basic AI awareness among leadership and key staff | Widespread AI literacy with continuous learning culture |
|
Implementation Experience
|
No experience implementing AI solutions | Limited experience with simple AI implementations | Extensive experience across multiple AI implementations |
|
Ethics Understanding
|
No awareness of AI ethics considerations | Basic understanding of key ethical issues | Sophisticated understanding of ethical nuances and trade-offs |
|
Change Management Capability
|
No structured approach to change management | Basic change management processes exist | Proven track record of managing complex technological change |
|
Priority Improvement Actions for Skills Readiness:
3. Process Readiness
Element | 1 (Significant Gap) | 3 (Moderate Readiness) | 5 (Exceptional Strength) | Your Score |
---|---|---|---|---|
Decision Process Documentation
|
Decision processes are undefined and inconsistent | Key decision processes are documented | Comprehensive documentation with clear decision rights |
|
Workflow Clarity
|
Workflows are informal and vary by individual | Core workflows are documented but may have gaps | Workflows are thoroughly documented with clear handoffs |
|
Quality Control Mechanisms
|
Few or no quality controls exist | Basic quality controls for key processes | Comprehensive quality management with continuous improvement |
|
Feedback Systems
|
No formal feedback mechanisms | Basic feedback collection but limited action | Robust feedback loops driving continuous improvement |
|
Change Implementation History
|
History of failed change initiatives | Mixed success with change implementation | Strong track record of successful change initiatives |
|
Priority Improvement Actions for Process Readiness:
4. Cultural Readiness
Element | 1 (Significant Gap) | 3 (Moderate Readiness) | 5 (Exceptional Strength) | Your Score |
---|---|---|---|---|
Openness to AI
|
Significant resistance to AI adoption | General openness with pockets of resistance | Enthusiastic embrace of AI's potential with realistic expectations |
|
Trust in Data-Driven Decisions
|
Strong preference for intuition over data | Balanced approach to data and experience | Culture of evidence-based decision making |
|
Adaptability to Change
|
Strong resistance to changing established ways | Moderate adaptability to necessary changes | High adaptability with proactive approach to change |
|
Comfort with Transparency
|
Closed culture with limited information sharing | Selective transparency in certain areas | Open culture with commitment to appropriate transparency |
|
Innovation Orientation
|
Risk-averse with preference for status quo | Moderate appetite for proven innovations | Strong innovation culture with appropriate risk tolerance |
|
Priority Improvement Actions for Cultural Readiness:
5. Ethical Readiness
Element | 1 (Significant Gap) | 3 (Moderate Readiness) | 5 (Exceptional Strength) | Your Score |
---|---|---|---|---|
Ethical Framework Existence
|
No ethical framework for technology use | Basic ethical guidelines exist | Comprehensive ethical framework with practical application |
|
Diversity of Perspectives
|
Homogeneous decision making | Some diversity in key positions | Diverse perspectives systematically included in decisions |
|
Technology Ethics Experience
|
No experience with technology ethics issues | Some experience with basic tech ethics | Extensive experience addressing complex ethical challenges |
|
Values Clarity
|
Organizational values undefined or unclear | Values defined but inconsistently applied | Clear values consistently guiding decision making |
|
Oversight Mechanisms
|
No formal oversight of ethical implications | Basic oversight for high-risk decisions | Robust oversight mechanisms with independent review |
|