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Insights Blog

Artificial Intelligence

3 Things to Consider Before Investing in AI

By Ameet Doshi·

Key Takeaways

Before investing in AI, organizations need to evaluate three critical factors: data readiness, problem-solution fit, and organizational capacity for change. Skipping this evaluation leads to expensive pilots that don't scale and AI tools that teams don't adopt.

  • Assess whether your data is clean, accessible, and sufficient for the AI use case
  • Define the business problem first — then determine if AI is the right solution
  • Budget for change management and training alongside the technology investment

AI is a powerful tool, but deploying it effectively requires more than buying software. Here are three critical considerations before investing.

Who's On Your AI Team?

AI initiatives need cross-functional support — data engineers, analysts, domain experts, and executive sponsors. Without the right people, even the best tools underperform.

Which AI Tools Should You Use?

The market is flooded with AI products. Choosing the right tools depends on your data maturity, use cases, and integration requirements.

What's Your Data Strategy?

AI is only as good as the data it's built on. A solid data strategy — covering governance, quality, and accessibility — is a prerequisite for meaningful AI outcomes.

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