AI Readiness Survey

Department: CEO / Leadership | Company: Knowledge Fortune
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AI Strategy & Resources
From a leadership perspective, which areas would benefit most immediately from AI enablement? (Select up to three) *
If Other, please specify *
How clearly is the company’s AI strategy aligns into measurable goals across departments? *
Is AI currently being used anywhere in the organization? *
On a scale of 1 to 5, how would you rate the organization’s AI readiness? *
What would need to change for this to become a 4 or 5? *
What would need to change for this to become a 4 or 5? *
What would need to change for this to become a 4 or 5? *
What would need to change for this to become a 4 or 5? *
What would need to change for this to become a 4 or 5? *
What would need to change for this to become a 4 or 5? *
What would need to change for this to become a 4 or 5? *
What would need to change for this to become a 4 or 5? *
What would need to change for this to become a 4 or 5? *
On a scale of 1 to 5, how would you rate the organization’s AI readiness? *
On a scale of 1 to 5, how would you rate the organization’s AI readiness? *
What is the primary reason these departments are higher priority? *
How clearly are AI initiatives prioritized and sequenced (now, next, later)? *
how you rely on ai software *
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Performance and Application
How would you describe the operational complexity of the company today? *
Costs reduced while revenue increased *
How often do you rely on the following inputs for decision-making? *
How often do you get involved in operational exceptions? *
How well does current technology support business agility? *
Data Infrastructure
Which industry best describes your company? *
If Other, please specify *
How many employees does the company currently have? *
Which geographies does the company operate in? *
What is the company’s current annual revenue range? *
Approximately how many customers or clients does the company serve? *
Roughly how many core business systems does the company rely on today? *
How confident are you in the accuracy and timeliness of the data used for decision-making? *
How much do you trust the data presented to you for decision-making? *
How fragmented is data across departments and systems? *
Organization
How many management layers exist between frontline execution and top leadership? *
Which statement resonates most with you today? *
Technology Enablers
Where do you believe the most hidden costs exist? *
Which input influences your decisions the most? *
In the last 3 years, how often did major decisions need correction due to incomplete or late information? *
How much real-time visibility do you have into strategic KPIs? *
What typically slows down important decisions? *