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AI Readiness Survey

Strategy & Vision

Data & Infrastructure

People & Skills

Technology & Tools

Governance & Ethics

Use Cases & ROI

Demographics

Our leadership team has a clear vision for how AI can be used in our business.

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1 2 3 4 5

AI is included in our digital transformation strategy or roadmap.

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1 2 3 4 5

We have identified measurable goals or KPIs for AI initiatives.

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1 2 3 4 5

Our organization views AI as a business enabler rather than just a tech experiment.

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1 2 3 4 5

We have a cross-functional team responsible for driving AI initiatives.

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1 2 3 4 5

Our data is centralized, accessible, and of sufficient quality to support AI initiatives.

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1 2 3 4 5

We have integrated data sources (CRM, ERP, website, etc.) into one ecosystem.

| | | | | |

1 2 3 4 5

Our organization uses cloud or hybrid cloud environments to store and process data.

| | | | | |

1 2 3 4 5

We have tools or platforms in place to support data collection and analytics.

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1 2 3 4 5

We regularly review and clean our data for accuracy and completeness.

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1 2 3 4 5

Our leadership understands the fundamentals of AI and its business applications.

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1 2 3 4 5

We have in-house talent or access to experts with AI/ML experience.

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1 2 3 4 5

Teams across departments are educated about AI and its implications.

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1 2 3 4 5

Our company promotes AI literacy and ongoing training for staff.

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1 2 3 4 5

We are open to working with external partners or consultants for AI projects.

| | | | | |

1 2 3 4 5

We are currently using AI-powered tools or platforms in some capacity.

| | | | | |

1 2 3 4 5

We have experience with automation technologies (e.g., RPA, chatbots, Power Automate).

| | | | | |

1 2 3 4 5

We have experimented with or piloted machine learning models or LLMs (e.g., OpenAI).

| | | | | |

1 2 3 4 5

Our systems can support real-time or batch AI-driven decision-making.

| | | | | |

1 2 3 4 5

We use tools like Microsoft Power Platform, Python, or cloud ML services (Azure, AWS, GCP).

| | | | | |

1 2 3 4 5

We have clear policies around data privacy, consent, and ethical AI usage.

| | | | | |

1 2 3 4 5

We assess AI systems for bias, fairness, and explainability.

| | | | | |

1 2 3 4 5

We consider the legal and compliance aspects of deploying AI solutions.

| | | | | |

1 2 3 4 5

There is a defined process for AI model monitoring and lifecycle management.

| | | | | |

1 2 3 4 5

Security practices are in place to prevent misuse of AI and sensitive data.

| | | | | |

1 2 3 4 5

We have identified business problems or opportunities that AI could address.

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1 2 3 4 5

We have previously piloted AI or automation use cases.

| | | | | |

1 2 3 4 5

We evaluate the ROI or impact of our AI or automation investments.

| | | | | |

1 2 3 4 5

Our business units actively propose AI-driven ideas or improvements.

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1 2 3 4 5

We are prepared to invest in AI initiatives over the next 6–12 months.

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1 2 3 4 5

What industry are you in?

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1 2 3 4 5

How many employees does your organization have?

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1 2 3 4 5

What is your role in the organization?

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1 2 3 4 5

Would you like to schedule a free AI strategy consultation?

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1 2 3 4 5

Featured Case Study

Featured Case Study

Featured Case Study

Featured Case Study

Featured Case Study

Featured Case Study

Featured Case Study

Featured Case Study

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