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Key Takeaways Most digital transformations fail before implementation starts because the strategic work necessary to ensure success is skipped.
Companies waste millions of dollars buying the wrong AI tools because they make purchasing decisions without clearly defining the problem the tool should solve.
Implementation is de-risked when it is aligned with real business needs and fails when it’s driven by putting technology ahead of process and strategy.
If I had only 60 seconds to teach you to become an engineer, I would ensure you understand just one concept: how to solve any problem by breaking it down into smaller pieces and drawing it. As AI has entered the mainstream, I have stuck to this principle when implementing AI tools for my clients. After you read this article, you will be able to do the same for your organization or customers.
I approach every problem with a technology-agnostic lens. Over the next few years, I’m sure companies will waste millions of dollars investing in technologies first and searching for problems to solve second. By contrast, I take a problem-first approach. This means I lead my clients through my simple three-step solution design framework: the SPI Methodology.
This methodology consists of three distinct phases:
1. Strategize
2. Procure
3. Implement
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