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Whether we like it or not, there is incredible pressure on businesses to adoptAI.

Yet, questions remain on what and how much AI can actually do.

A representative abstraction of artificial intelligence

The reality is AI needs a plan.

Well-executed AI initiatives have the potential to not only pay for themselves but also generate significant returns.

Managing Director of Intelligent Automation, AI & Digital Services at alliant.

Now, you face the added pressure to bank on a new solution.

The key is to start small initiating pilot projects with a well-planned strategy rather than a comprehensive infrastructural overhaul.

This approach allows your team the necessary time to transition and adapt while providing the flexibility for iterative improvements.

How do you do it?

There are people up and down your organization with a great AI idea.

If you chase all of them, and youll end up with a budget you cant justify.

The objective behind both was to save more time.

For instance, automating routine tasks or enhancingcustomerservice through AI-drivenchatbotsare examples of low-complexity projects that can deliver quick wins.

Consider the case of the CPA firm I mentioned.

This approach minimizes financial risk and ensures that each step in your AI journey is backed by demonstrated success.

The biggest ROI will ultimately come from company-wide AI initiatives.

To achieve this, your entire organization needs to be AI-ready.

Moreover, you must keep in mind that not all pilot projects will succeed.

Therefore, you should never put all your AI eggs in one basket.

Starting multiple AI pilots across departments will also accelerate your organizations readiness for a complete AI transformation.

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The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.

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