In recent years, AI has gone from a futuristic promise to a business imperative. The pressure to “do AI” echoes in boardrooms, driven by the fear of disruption and the need to not be left behind. However, in this frantic race, a fundamental question has been lost: Why do we want AI?
Business leaders, with the best of intentions, are publicly proclaiming their desire to adopt Artificial Intelligence, but often without a clear vision of what they want this technology to achieve. It has become an end in itself, a “ticket” to modernity, rather than a strategic tool for solving specific problems.A “ticket” to modernity, rather than a strategic tool for solving specific problems.
From Euphoria to Frustration
We have seen countless AI projects fail not due to technical shortcomings, but from a lack of strategic alignment. Millions are invested in infrastructure, data teams, and sophisticated models, only to discover that the solution doesn’t solve a real business problem. The result is a costly exercise in aimless innovation that generates more frustration than value.
At Keepler, we understand that Artificial Intelligence is not magic. It’s a discipline that requires meticulous planning and a direct connection to business objectives. The first step isn’t choosing an algorithm, but identifying the right problem to solve. The questions that should guide any AI initiative are not technical, but strategic:
- What operational or business challenge is costing us the most resources or time?
- What is the key KPI we are looking to improve (e.g., reduce churn, optimize the supply chain, improve customer experience)?
- Do we have the necessary data to address this problem effectively?
Ignoring these questions is like building a bridge without knowing what shore it needs to reach. AI needs a purpose, a destination, a tangible metric of success that justifies the effort. Millions are invested in infrastructure, data teams, and sophisticated models, only to discover that the solution doesn’t solve a real business problem. The result is a costly exercise in aimless innovation that generates more frustration than value.
The Journey from Data to Strategy
AI does not live in a silo. Its success is intrinsically dependent on the organization’s data strategy. An advanced model trained on poor quality data is like a luxury car with an empty tank. Therefore, before thinking about the complexity of the model, it is crucial to audit the quality, governance, and accessibility of the data.
In this sense, the digital transformation driven by AI is not a one-year project, but a continuous journey. It requires a cultural shift where data becomes a strategic asset and experimentation becomes part of the company’s DNA. The digital transformation driven by AI is not a one-year project, but a continuous journey.
In conclusion, the key to a successful AI implementation doesn’t lie in speed, but in vision. The true competitive advantage will not be gained by companies that “have AI,” but by those that know exactly what they want it for. It’s about moving from a cry of “we want it now!” to a well-articulated strategic plan that transforms desire into measurable and sustainable results.
This is the path we are walking with many of our clients… and the results with this approach are remarkably different. This is when we can truly talk about them adopting AI with a business purpose.
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Adelina Sarmiento
CMO at Keepler. "I work at the intersection of B2B marketing, corporate communications, and technology, focusing on positioning Keepler as a leader in data and AI. I actively explore how artificial intelligence can amplify capabilities, optimize decision-making, and scale impact in marketing. I combine strategy and execution to connect business, brand, and talent. And yes, I also take on āa thousand other thingsā to help make Keepler a great place to work."
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