Introduction
As machine learning (ML) algorithms becomes increasingly advanced and computing capabilities are expanding at an exponential rate, Generative AI (GenAI) has been shifting from a competitive advantage to a vital business necessity.
Also, artificial intelligence is already influencing almost every sector, such as manufacturing, public administration, healthcare, or education.
So, if organizations do not have an AI strategy in place, they may miss the advantages that AI can provide them with. As well, an AI strategy will support any organizations in overcoming the complex challenges linked to AI implementation, and also to setting its goals.
For these reasons, maintaining a solid AI strategy is crucial for organizations that want to harness artificial intelligence (AI) to fulfil their business goals.

Each AI effort should connect to a financial outcome
However, when constructing an AI strategy, the typical error could be to focus on AI technical features instead of business challenges. So, an organization's teams approach should start by pinpointing where AI can deliver the greatest value to the organization; whether that involves boosting revenue, reducing expenses, improving customer satisfaction, or streamlining operations.
Accordingly, every AI effort should clearly connect to a financial outcome while taking into account the following elements of an AI strategy:
1. Understanding business demands.
2. Develop a vision.
3. Aligning AI with business strategy.
4. Pinpoint strategic risks and set mitigation plans.
5. Set clear business goals and metrics.
6. Generating business value.

Roadmap to ensure strategic and responsible AI usage
Establishing a well-defined purpose and plan is key to ensuring that AI adoption is in line with broader business objectives. This alignment is crucial for extracting valuable insights from AI and maximizing its effectiveness, to attain business goals.
That’s being said, a successful AI strategy also outlines a roadmap for building necessary capabilities and ensures a strategic and responsible application of AI within the organization.
Also, a comprehensive AI strategy will allow an organization’s teams to handle the complexities of AI integration, quickly adapt to technological advancements, and optimize its processes, operational efficiency, and overall growth.

Overcoming common obstacles to an AI strategy
Common obstacles in formulating an AI strategy
Numerous problems can stand in the way of developing, and perhaps executing, a successful AI strategy. Therefore, it's essential to identify their potential to disrupt the process, at an early; and then to manage these issues effectively in order to ensure AI progress can be made. These common obstacles are detailed in the table below.

Solutions to common roadblocks to building AI strategies
In order to overcome common roadblocks to building a successful AI strategy, the organization should focus on the following solutions, described in the table next below. So, by addressing these challenges, the organization (IT and business teams) can create a robust AI strategy that aligns with broader business goals and maximizes the potential of selected AI technologies.

In conclusion
An artificial intelligence strategy is essentially a blueprint for incorporating AI into an organization’s operations, ensuring it aligns with and bolsters the overall objectives of the organization. Depending on the specific goals of the organization, an AI strategy can detail how AI can help derive deeper insights from data, boost efficiency, reinforce the supply chain and enhance both employees’ performance and customer experience leading to overall growth of the the company.
Nevertheless, a thoughtfully designed AI strategy should also steer the technological infrastructure in the right direction. This will ensure the organization has the necessary hardware, software, and resources for its successful AI implementation. However, given the rapid pace of technological advancement, the organization’s AI strategy must enable it to adjust to emerging technologies and industry rapid changes.

References:
 1. AI Transformation: A Complete Strategy Guide; https://www.databricks.com/blog/ai-transformation-complete-strategy-guide-2025
2. Digital Transformation & AI, Building an AI Business Strategy: A Beginner's Guide; https://online.hbs.edu/blog/post/ai-business-strategy
3. El estado de la IA a principios de 2024: la adopción de la IA generativa aumenta y comienza a generar valor, McKinsey & Company (2024)
4. Ethical considerations in AI agents: Bias, accountability, and transparency; https://www.infosysbpm.com/blogs/generative-ai/agents-in-ai-ethical-considerations-accountability-and-transparency.html
5. Guide & best practices on Ai strategy; https://www.leanix.net/en/wiki/ai-governance/ai-strategy
6. How to build a successful AI strategy; https://www.ibm.com/think/insights/artificial-intelligence-strategy
7. Only Good AI Strategy Turns Promise Into Reality; https://www.gartner.com/en/articles/ai-strategy-for-business
8. Perspective How to create an effective AI strategy Becoming an AI-fueled organization ; https://www.deloitte.com/us/en/what-we-do/capabilities/applied-artificial-intelligence/articles/effective-ai-strategy.html
9. Real-world agentic AI examples and use cases ; https://www.techtarget.com/searchenterpriseai/feature/Real-world-agentic-AI-examples-and-use-cases
10. Scaling Production AI: 20 Surprising Hurdles And How To Overcome Them; https://www.forbes.com/councils/forbestechcouncil/2025/08/05/scaling-production-ai-20-surprising-hurdles-and-how-to-overcome-them/
11. Survey: 54 Percent of Infrastructure and Operations Leaders Are Adopting AI to Cut Costs; https://www.gartner.com/en/newsroom/press-releases/2025-10-29-gartner-survey-54-percent-of-infrastructure-and-operations-leaders-are-adopting-artificial-intelligence-to-cut-costs
12. The AI-centric imperative: Navigating the next software frontier, McKinsey & Company (2025); https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/the-ai-centric-imperative-navigating-the-next-software-frontier
13. The State of AI: How Organizations Are Rewiring to Capture Value, McKinsey & Company (2025); 
14. The Workforce’s Response to AI, EY European AI Barometer (2025); https://www.ey.com/en_it/insights/ai/ey-european-ai-barometer-2025 

17.03.2026, (From Book 5 - One Strategy: Business, IT & AI Alignment)

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