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AI Readiness Assessment
Are you ready to close your company's Execution Gap? Take this short survey to get a free assessment report and learn how to drive AI-powered outcomes for your business.
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1
Name
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First Name
Last Name
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2
Company Email
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example@example.com
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Job Title
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4
Company Name
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5
Which AI tools, technology or solutions do you currently use?
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General purpose ChatBot (i.e., Chat GPT, Gemini, Claude, etc.)
AI extensions to current software products (co-pilots, AI assistants, etc.)
Domain specific AI applications (call center, marketing, etc.)
Tailored, strategic AI solution/platform (customized to your business)
We are currently not using AI in our organization
Other
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6
What is the current status of your AI initiatives?
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Haven't started
Experimenting with technology and tools
Proof-of-concept in progress
Use-case(s) deployed
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7
Which KPIs are the priority for your organization?
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Revenue growth
Profit optimization
Operational efficiency
All of the above
Other
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8
What is your primary strategy and goal for AI use?
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Improve productivity
Revenue growth
Reduce costs
Transform business
Increase competitive positioning
No strategy or goal identified yet
Other
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9
Is your data ready for AI?
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Data sits in silos and/or operational systems
Data is centralized into a data warehouse or lakehouse
Not sure
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10
What is your company's current data and analytical expertise?
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We have a data scientist(s)
We have a data analyst(s)
We don't have data analytics experts on our staff
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11
How capable is your company's IT to architect, build and manage AI solutions?
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Our IT department does not have any understanding of AI infrastructure
Our IT department has some knowledge of AI infrastructure
Our IT department has strong knowledge of AI infrastructure
Our IT department has already deployed an AI use-case
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12
What is your AI adoption timeframe?
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We have an urgent need to get started
We want to get an AI use-case deployed in 2025
We have already deployed AI in our business
We are taking a wait and see approach
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13
What is your company's biggest obstacle to AI adoption?
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Data readiness
Skills gaps
Cost
Complexity
Lack of executive sponsorship
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