How to Build an AI Strategy

By One Source

Planning an AI strategy is essential to ensure alignment with overarching business goals, facilitating a focused and purposeful implementation of AI initiatives. Careful planning allows you to optimize the allocation of resources, including financial, human, and technological assets, allowing for realistic budgeting, and maximizing your ROI.

A well-crafted strategy also helps identify and mitigate potential risks associated with AI adoption, such as security concerns and ethical implications, fostering a proactive approach to potential challenges. By providing a clear strategic vision, the planning process enables effective communication of the company’s AI integration goals to stakeholders, generating support for investment in AI tools and necessary infrastructure upgrades or resource planning. When done right, you’ll be set for success to make sure AI solutions seamlessly integrate into your company’s existing workflows, enhancing operational efficiency, and providing a competitive advantage in a rapidly evolving space.

Over the next few weeks, we’ll go through various use-cases for AI in specific applications (think networking, cybersecurity, cloud, customer experience, etc.), but for today, let’s look at some high-level questions you can ask at the beginning of your AI journey.

Building Your AI Strategy: Questions to Ask


How does AI adoption align with our organization’s overall strategic vision and goals?

Have we identified specific business areas where AI can contribute strategically?

Is there clear executive support and understanding of the strategic importance of AI adoption?

Have key stakeholders expressed a commitment to integrating AI into our long-term vision?



What potential business value or impact do we anticipate from adopting AI technologies?

Have we conducted a thorough analysis of how AI can improve efficiency, customer experience, or other key metrics?

How do we plan to optimize resource allocation, including financial, human, and technological resources?

Have we established a realistic budget for AI adoption, considering both initial and ongoing costs?



What is the current state of our data infrastructure, and do we have high-quality data for AI training?

Have we assessed the diversity and relevance of the data needed for effective AI model training?

How prepared is our organization for the adoption of AI, considering existing IT infrastructure and skill sets?

Do we need to provide additional training or hire specialists to bridge skill gaps?



What security measures are currently in place to protect data and AI models?

How are we addressing privacy concerns associated with AI adoption?

Have we established ethical guidelines for AI adoption and usage?

How are we addressing potential ethical concerns related to the impact of AI on employees and stakeholders?

Have we conducted a comprehensive risk assessment for potential biases and unintended consequences in AI systems?

What strategies do we have in place to mitigate identified risks?

Interested in learning more about how One Source can help? Schedule time with us below.

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