Artificial intelligence is possibly the most important technological catalyst for the next global paradigm shift, after the internet itself in the seventies. That’s why it’s not surprising that you are considering implementing some form of generative AI in your organization.

But, oh dear friend! How to do it? Is using Chat GPT enough? How does it work? Let us explain the basics and essential steps you should consider. We’ll tell you upfront that it’s not difficult, but it’s better to know what you’re doing.

Define what problem you want to solve

A lot of the success of implementing artificial intelligence, in the corporate environment or any other, lies in choosing a good use case. That is, establishing what problem or set of problems we want AI to solve or, at the very least, in whose solution we intend for the model we want to deploy to participate.

Since everyone has their own unique circumstances, it’s impossible to define guidelines that will apply universally. However, there are some tips for choosing a use case that can lead you to success in your relationship with artificial intelligence.

It must generate impact.

Although it may seem obvious, it’s crucial that the intervention of artificial intelligence has a tangible effect, whether externally, within the organization itself—or even both. It could be increasing a specified percentage of sales, reducing customer service wait times, measurably improving an internal process, etc. We emphasize: it must be a tangible improvement, subject to monitoring.

It should not be a hindrance in regular work.

The purpose of generative artificial intelligence in the company is to assist, and its integration process into daily operations cannot be so disruptive as to hinder or even halt the flow of processes that were already functioning, ostensibly without problems, before generative AI entered your life.

It should be easily replicable.

The initial exercise with artificial intelligence may be a testing ground or a “spearhead” of a much more comprehensive and transversal business strategy. You must have a mindset that is constantly guided by the intention of scalability. At least on paper, generative AI can be your ally in more than one specific corporate territory.

Feed and ‘train’ the AI model

Once we have clarified the use case and the problems we intend to solve, we need to consider possible situations the model may encounter when operational. If we are talking about a chatbot, for example, we can establish a scenario based on FAQs or use it to accompany an onboarding process. Keep in mind that the contexts in each case are different, and therefore, the questions and potential answers are different.

Choose model and tokenization.

In addition to using your own data as much as possible, it is advisable to choose a model that fits our use case, as well as the appropriate level and depth of tokenization. Especially to balance expenses. Using ChatGPT 3.5 with 4,000 tokens, for example, has a very acceptable cost. If your use case requires ChatGPT 4 and 32,000 tokens, the bill for this aspect alone goes above €1,500 per month.

Use the appropriate tools

Once we have established a use case and know which AI model we will use, we need to focus on the appropriate technology for the specific situation. Remember that using artificial intelligence without thinking a little about your use case can lead to unpleasant moments.
There are several options, but we recommend Azure OpenAI. You can also connect any other application through an API, such as a CRM or any other alternative depending on the specific need.

Front End and UX

None of the above will be of any use if the end user of the artificial intelligence does not interact with it easily and intuitively. It’s time to establish an interface through the most appropriate JavaScript framework: Angular, React, or even integrate it into an ecosystem like Microsoft Teams and communicate with the AI assistant as if it were another member of our meetings, which is what many companies do.

As you can see, introducing generative artificial intelligence into your organization’s daily life is not necessarily rocket science. But it’s true that you have to think a little, analyze the situation, the solutions at hand, and how to apply them effectively. That’s where we can be your technological partner. Book a slot in our agenda and meet with us, to see how we can help you.