In today’s world, a company that doesn’t invest in technology is a company in danger. Technological innovation is essential to maintain competitiveness in the market. Even so, being at the forefront of technology is a considerable investment that not all companies are willing to make, even if it may mean a great optimization of resources in the long term.

So how can I convince my boss that an investment in artificial intelligence is imperative?

Before developing a strategy, we must be clear about who is the decision-maker. Maybe it’s our direct superior, or maybe they have to convince their superior. Then, we can establish who has the power and who its influences are, that is, who are the people who can guide or even determine what the final decision will be.

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Once we have established who has the power and who influences it, it’s important to know what objectives this person has for the company and align our proposal to match their objectives. So, if one of their objectives is to achieve more conversions or to reduce the time spent on certain processes, for example, it’s a good idea to stress that the proposal we present will solve this problem. Decision-makers are concerned with ROI as well, so it’s important that we cover it in our proposal.

We must also present all the benefits of implementing the artificial intelligence solution for each of the company’s departments, not just for ours or ourselves, as well as the disadvantages or problems it may pose. This way, the proposal will be received as objective, with a transparent aim and with general benefits for the whole company.

A possibility that may be interesting, if possible, is to carry out a small pilot to enable managers to see first-hand how the solution works, the results it offers and evaluate the ease of implementation according to the characteristics and way of working of the company.

Another aspect to take into account when dealing with algorithms is that it is much easier and inexpensive to apply an already created solution than to develop a specific solution for us. In this way, we can propose, firstly, to apply algorithms that are already in operation and, later, if the expected positive effects are verified, we can opt for a solution that is tailor-made for us.

These are some of the steps you can take towards a more AI-driven company, but not the only ones. Tell us in the comments how they work for you or, if you have already convinced your boss, how did you do it.

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