AI Maturity Assessment
This assessment evaluates your organization's AI maturity across six key pillars: Strategy, Data, People, Processes, Technology, and Outcomes, providing insights for strategic advancement.
AI Maturity Assessment
This assessment evaluates your organization's AI maturity across six key pillars: Strategy, Data, People, Processes, Technology, and Outcomes, providing insights for strategic advancement.
š 5 minutes
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1. Strategy
Alignment of AI initiatives with core business objectives and long-term competitive advantage.
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AI Maturity Assessment
1. Strategy
1.1. Does your organization have a clearly defined AI strategy?
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No strategy defined; no plans to create one
Some ad hoc initiatives, but no formal strategy
AI strategy defined but not integrated with business goals
Comprehensive AI strategy aligned with business goals
1.2. How aligned is your AI strategy with your overall business objectives?
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No alignment
Minimal alignment, limited to isolated projects
Moderately aligned; some integration
Fully aligned with measurable outcomes
1.3. What are your primary goals for using AI?
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Exploration and learning
Process efficiency and cost reduction
Scaling and automation
Innovation and competitive edge
1.4. Are senior leaders actively involved in driving AI initiatives?
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No involvement
Passive awareness or support
Actively engaged with strategic direction
Highly engaged, championing AI initiatives
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2. Data
Leveraging data as a strategic asset to drive AI-powered decision-making and innovation.
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AI Maturity Assessment
2. Data
2.1. Do you have a robust data governance framework in place?
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None
Ad hoc or informal practices
Established framework with roles and policies
Comprehensive governance integrated across the organization
2.2. How accessible and clean is your organizational data for AI use cases?
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Not accessible; fragmented
Limited accessibility; requires significant preprocessing
Moderately centralized and clean
Fully optimized for AI
2.3. Are you using real-time or batch data for AI models?
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No data usage
Batch processing only
Combination of real-time and batch
Fully real-time data usage
2.4. What is your approach to handling data privacy, security, and compliance requirements?
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None
Basic measures in place
Well-defined policies and audits
Comprehensive, proactive approach
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3. People
Building a future-ready workforce with the skills and mindset to capitalize on AI opportunities.
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AI Maturity Assessment
3. People
3.1. Do you have a dedicated team for AI and data science?
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None
Minimal team; part-time focus
Established team supporting multiple initiatives
Large, cross-functional team driving strategy
3.2. Are employees trained or reskilled to work with AI tools and systems?
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No training provided
Ad hoc training for select individuals
Organization-wide basic training
Continuous reskilling integrated into career development
3.3. How mature is collaboration between technical and business teams on AI projects?
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None
Minimal; sporadic communication
Improving with shared goals
Seamless collaboration with joint ownership
3.4. Are you hiring AI talent or relying on external partnerships?
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None
Exclusive reliance on external vendors
Balanced mix of in-house talent and partnerships
Fully self-sufficient in-house AI team
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4. Processes
Optimizing operational efficiency and agility through AI-driven automation and process redesign.
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AI Maturity Assessment
4. Processes
4.1. Do you have a defined process for identifying and prioritizing AI use cases?
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None
Ad hoc or unstructured
Established, clear process
Comprehensive, iterative process driven by data and goals
4.2. How do you measure the success or ROI of AI projects?
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None
Informal tracking of outcomes
Clear metrics aligned with business goals
Comprehensive framework for continuous improvement
4.3. Are AI models integrated into production and operational workflows?
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None
Limited deployment in specific workflows
Partial integration into operations
Fully embedded, organization-wide integration
4.4. Do you have a framework for addressing AI-related risks and ethical concerns?
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None
Ad hoc, reactive measures
Defined framework with regular oversight
Comprehensive, proactive risk management framework
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5. Outcomes
Measuring the ROI and tangible business outcomes generated by AI investments.
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AI Maturity Assessment
5. Outcomes
5.1. Have you successfully implemented AI in a production environment?
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None
Single pilot project
Few projects (2ā5)
Extensive adoption across multiple functions
5.2. What measurable outcomes have been achieved from AI initiatives?
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None
Modest efficiency gains
Tangible business value and improved decision-making
Transformational, industry-leading outcomes
5.3. Are you leveraging AI to gain a competitive advantage in your industry?
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No advantage gained
Limited use in isolated cases
Emerging competitive edge in specific areas
Recognized leader through widespread AI use
5.4. How consistently do AI projects deliver value compared to initial objectives?
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None
Inconsistent delivery
Moderate consistency with improving outcomes
Consistently exceeds objectives
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6. Technology
Ensuring a scalable and secure technology infrastructure to support enterprise-wide AI deployment.
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AI Maturity Assessment
6. Technology
6.1. What AI tools, platforms, or technologies are currently in use?
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None
Basic/open-source tools for small projects
Commercial platforms used across departments
Advanced custom-built solutions
6.2. Do you have scalable AI infrastructure (e.g., cloud platforms, on-premise solutions)?
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None
Basic infrastructure for small experiments
Moderate scalability for departmental needs
Fully scalable enterprise-grade infrastructure
6.3. How integrated is AI into your existing IT architecture and workflows?
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Not integrated
Limited to specific use cases
Moderately integrated across workflows
Fully embedded with seamless operation
6.4. Are you leveraging advanced AI capabilities like ML, NLP, or computer vision?
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None
Limited experimentation
Broad usage in multiple areas
Extensive adoption across the organization
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Contact Information
Name
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First Name
Last Name
Company
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Designation
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Business Email
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Please enter a valid email address.
Phone Number
Please enter a valid phone number.
Score % - Overall
Score % - Strategy
Score % - Data
Score % - People
Score % - Processes
Score % - Outcomes
Score % - Technology
Is there anything else you would like to share about your AI journey?
Who is your primary contact at LevelShift? (If known, please provide their name.)
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