Get your AI-automation scorecard.

Is your business right for AI Automation?

Take this short survey to see if AI-driven automation could be a good fit for your business.

Question 1 of 8
📝 Process Overview
Let's start by understanding the business process you're considering for AI automation.
💡 Please describe the business process you'd like to evaluate for AI automation. Include details about data sources, decision points, and what tasks are currently being performed manually.
🔍 Data Structure
How would you describe the data complexity in this process?
💡 Data complexity refers to how structured or unstructured the information is that needs to be processed. More unstructured data (like free text) typically benefits more from AI automation than highly structured data.
🧠 Decision Making
How complex are the decisions made during this process?
💡 Decision complexity refers to how much judgment, expertise, or analysis is required to complete the process. AI can handle increasingly complex decisions, but processes with simpler decision rules are easier to automate fully.
🔄 Frequency
How frequently would this process ideally be performed if resources weren't a constraint?
💡 Consider the ideal frequency for this process to maximize business value, not just how often it's currently done. Processes that would benefit from being performed more frequently are excellent candidates for AI automation.
📊 Volume
What is the volume of tasks or data that would ideally be handled in this process?
💡 Consider the ideal volume that would create the most business value, not just current volumes. Processes with potential for high volumes of repetitive tasks often see the greatest benefit from automation.
📈 Scalability
How important is scalability for this process in your business?
💡 Consider how this process might need to grow as your business expands. Processes that need to scale efficiently are excellent candidates for AI automation.
⚠️ Error Impact
How sensitive is this process to errors or mistakes?
💡 Consider the impact of potential errors in the process. While AI can be highly accurate, understanding your error tolerance helps determine the right approach to automation.
📋 Compliance
What level of compliance or governance would ideally be applied to this process?
💡 Consider both current requirements and ideal governance standards that would benefit your business. AI can help ensure consistent application of rules and maintain detailed audit trails.
🎯 Results
Your AI Automation Assessment Results
Based on your responses about this business process
Overall Score: 0 out of 21 possible points
Responses with "Not Sure": 0
Recommendation
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