AI Maturity Assessment | Prescience Decision Solutions

Welcome to your AI Maturity Assessment. This assessment is designed to help us understand your organization's current AI capabilities and readiness for adopting advanced AI solutions. Your insights will contribute to identifying areas of strength and opportunities for growth, guiding future strategies to maximize the impact of AI within your business.

Please answer each question as accurately as possible. The survey will take approximately 3-5 minutes to complete. All responses will remain confidential and used only for the purpose of this assessment.

We appreciate your time and input!

Name

Strategy and Vision

What is the current significance of AI for your organization?

a. We are showing early interest in AI, but our financial resources for AI initiatives are limited, and developing a formal AI strategy is not currently a top priority.

b. Some teams or departments have allocated budget for initiating AI projects, and a few even have a preliminary AI strategy endorsed by their managers.

c. The organization has established an AI strategy that encompasses the essential organizational elements needed for success.

d. We have robust management backing for incorporating AI throughout the organization, and our business unit leaders are now aligning their resources—human, financial, and material—with the AI strategy.

e. AI is fully and effectively integrated into the organization's overarching strategy.

None

1 out of 6

Strategy and Vision

How is the AI budget allocated within your organization?

a. The AI budget is minimal, with funds allocated only for occasional training and small-scale Proofs of Concept (POCs).

b. The AI budget is minimal, with funds allocated only for occasional training and small-scale Proofs of Concept (POCs).

c. AI projects receive funding across various areas, with continuous investments in experimentation and POCs, including development of software, platforms, infrastructure, and AI expertise.

d. We have established a dedicated budget for AI, supported by a comprehensive short- and long-term plan.

e. AI initiatives and budgets are fully integrated with functional areas, eliminating the need for separate AI budgets or initiatives.

None

2 out of 6

Data

Do you have access to the complete data necessary for conducting AI experiments?

a. Accessing or collecting data is highly challenging, which hinders our AI initiatives.

b. Some of the data we gather to meet basic business needs is accessible and can be used to start developing proofs of concept.

c. We consistently gather and make key internal data available for analysis, facilitating the creation of AI models.

d. A comprehensive data set is easily accessible to many departments, enabling them to develop AI models.

e. We consider data a valuable asset and ensure it is proactively and efficiently accessible to all parts of the organization.

None

3 out of 6

Data

Is the data cleaned and consolidated in a manner that facilitates easy use by AI?

a. We are unsure about the quality of our data as there are no defined measures or processes for data quality.

b. We carry out occasional data quality checks on our data.

c. We have started to standardize data quality across the organization and are working on enhancing it.

d. We follow established data quality practices supported by a formal program that includes frameworks, processes, guidelines, and regular monitoring and improvement.

e. We are continuously advancing our data quality efforts with the support of automated systems and tools.

None

4 out of 6

IT Infra (Technology)

What technological foundations does your organization rely on for AI development?

a. We are conducting our initial AI experiments using personal computers or cloud environments.

b. We have set up dedicated AI servers and tools for model training, though they may not fully cover all our requirements.

c. We possess high-performance servers and tools designed to enhance the training of AI models and manage our AI computational resources efficiently.

d. We have invested in a comprehensive suite of equipment and tools to automate the management of the AI model lifecycle.

e. We utilize AI technology to optimize our AI infrastructure, predict workload fluctuations, and adjust resource allocation automatically.

None

5 out of 6

IT Infra (Technology)

How do you maintain the AI models that are deployed within your organization?

a. We have not yet deployed any AI models.

b. The lifecycle of our AI models concludes after their initial deployment.

c. Some of our models are in production, and we track their performance using indicators such as processing time, CPU or GPU usage, and availability.

d. We actively monitor our models for potential issues like conceptual drift, data drift, and adversarial attacks.

e. We have established a detailed procedure and aimed to automate it for updating and retraining our AI models.

None

6 out of 6

Time's up

Time is Up!