Complete Your AI Assessment

Thank you for purchasing the Enterprise AI Readiness Assessment! 

Please complete the questionnaire below. It will take 20-30 minutes to answer all questions.

Your responses will be used to generate your personalized assessment report, which will be emailed to you within 24 hours.

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Full Name *

Email Address *

Company Name *

Industry *--- Select Choice ---Financial ServicesHealthcareRetailManufacturingTechnologyGovernmentOther

Company Size *--- Select Choice ---<100100-500500-10001000-50005000+

Q1.1: Does your organization have a documented AI strategy? *

• No strategy
• Informal/draft strategy
• Documented, annual review
• Documented, quarterly review
• Deeply integrated across business units

Q1.2: Is there a clear executive owner for AI? *

• No clear owner
• Informal ownership
• Designated AI leader
• Designated AI leader
• Executive council with board visibility

Q1.3: Does your organization have AI governance policies? *

• No policies
• Informal guidelines
• Documented policies
• Policies with regular review
• Comprehensive governance framework

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Q2.1: What percentage of your data is catalogued and accessible? *

• 0-20%
• 0-20%
• 41-60%
• 61-80%
• 81-100%

Q2.2: Do you have a modern data platform? *

• No data platform
• Legacy systems
• Cloud data warehouse
• Modern data lake/lakehouse
• Fully integrated data mesh

Q2.3: How is your data quality? *

• Poor - frequent data issues
• Fair - some data quality issues
• Good - mostly clean data
• Very good - automated quality checks
• Excellent - comprehensive quality framework

Q3.1: Do you have MLOps/model management infrastructure? *

• No infrastructure
• No infrastructure
• Basic MLOps platform
• Mature MLOps platform
• Enterprise-grade MLOps

Q3.2: Can you deploy and monitor models in production? *

• Cannot deploy models
• Manual deployment process
• Semi-automated deployment
• Semi-automated deployment
• Fully automated with comprehensive monitoring

Q3.3: Do you have AI infrastructure on-premises, cloud, or both? *

• No AI infrastructure
• Limited on-premises
• Limited on-premises
• Hybrid on-premises and cloud
• Fully optimized hybrid infrastructure

Q4.1: How many AI specialists do you have? *

• 0
• 1-2
• 3-5
• 6-10
• 10+

Q4.2: Do you have a training/upskilling program for AI? *

• No program
• Ad-hoc training
• Formal training program
• Comprehensive academy
• Ongoing learning culture

Q4.3: Can you attract and retain AI talent? *

• High turnover
• Difficulty retaining
• Moderate retention
• Good retention
• Excellent retention and attraction

Q5.1: How many AI use cases do you have in production? *

• 0
• 1-2
• 3-5
• 6-10
• 10+

Q5.2: Are your AI projects delivering measurable business value? *

• Not yet
• Minimal value
• Moderate value
• Significant value
• Transformative value

Q5.3: Can you scale AI use cases across the organization? *

• Cannot scale
• Limited scaling
• Some scaling capability
• Good scaling capability
• Excellent scaling capability

Q6.1: Do you have an AI risk framework? *

• No framework
• Informal processes
• Documented framework
• Formal framework with oversight
• Comprehensive risk management

Q6.2: Do you audit AI models for bias and fairness? *

• No auditing
• Ad-hoc audits
• Regular audits
• Comprehensive audits
• Continuous monitoring

Q6.3: Do you have responsible AI principles? *

• No principles
• Informal guidelines
• Documented principles
• Principles with governance
• Comprehensive responsible AI program

What is your top AI priority for the next 12 months?

What is the biggest barrier to AI adoption in your organization?

What would success look like for your AI program?

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