An AI project can pivot either way. If you have the right strategy and clear objectives, your AI opportunity could be a game-changer for your business. But if you haven't set your AI goals right, the same opportunity could drain you of time, money and effort, yielding close to nothing in the end. Setting strategic goals for your AI initiatives is one of the first steps you need to take in the AI implementation process. 

But what should your AI goals be? How do you pick your AI goals from among the many business objectives you need to fulfil? To answer questions like these and to help you set more effective AI goals, here are a few tips.

Align AI goals with business goals

The first important thing to remember is that your technology goals cannot be separated from your business goals. If your tech goals and business goals are competing with each other, you will never be able to achieve business outcomes with your tech initiatives. Your AI projects and their goals have to contribute towards the business goals eventually. For instance, say one of your business goals at the moment is to minimize costs and increase ROI from all the ongoing initiatives. In such a case, if your AI goals are too cost-intensive and are not delivering immediate ROI, they might be posing a hindrance for the business.

So make sure you have a clear idea of what the business needs when setting your AI goals.

Identify the potential AI use-cases in your business

Another effective way of goal-setting is identifying the business problems you can solve using AI. Identify the areas of business that AI can help you improve. Brainstorm how AI can help you find potential solutions to recurring business problems. Knowing the use-cases of AI in your business will help you set achievable and meaningful AI goals that can deliver actual results.

Prepare your organization for the transformation

Adopting AI technologies and setting goals will only be successful if your organization is ready for the AI transformation. Your organization will need the skills and resources to achieve the AI goals that you set. Your engineers, data scientists, business managers and others need to be familiarized with the organization's AI goals. They must be clear about what their roles are in achieving these objectives. 

Potential challenges to the implementation of AI have to be identified and potential solutions to these challenges must also be thought of at the planning stage itself. Change management is an important part of AI implementation and minimizing friction during these times of change will ensure better outcomes from your AI initiative.

Having a clearly defined AI strategy gives your business a foundation on which you can build and grow your AI capabilities for the long term.

Ready to set and achieve your AI goals? Contact us at sales.luxembourg@talan.com to learn how Talan Luxembourg can help you align your AI strategy with your business objectives and drive successful outcomes. Let's transform your AI vision into reality together.