Experiment and validate Generative AI solutions in 2 weeks

Among the countless possibilities and stimuli offered by the Generative Artificial Intelligence paradigm, multiple paths emerge for companies. It is no accident that, in this context of accelerated technological advancement, risks exist both for those seeking to apply it and for those still waiting for "better" versions.

We developed the AI Sprint method to break this potential paralysis. Created to identify opportunities, size needs, and predict risks, the method develops a Proof of Concept (PoC) contextualized to the company's reality in just a few weeks, validating an AI solution.

Over the last year, our experience implementing the technology taught us that, beyond separating hype from real opportunities, knowledge exchange with the business is fundamental. As shown by recent studies¹, the solutions driving the most results arise from collaborations between enterprises willing to innovate and partners who are specialists and experienced in the technology.

How AI Sprint was developed:

• It is the result of years of practice in design sprints and facilitating the adoption of emerging technologies in large companies;

• From our teams' continuous curiosity to adopt new technologies and apply them to business problems;

• From collaborations and practical experiences with companies like Movida, Mars Wrigley, and Reckitt. 

Discover the method:

By facilitating dialogue between business teams and technology specialists, the method collaboratively investigates how and where the new paradigm can drive the most results for the company.

Simplifying the complexity of the technology and stimulating a valuable exchange of knowledge within the company, our AI solutions are developed to grow through incremental deliveries.

Unlike sweeping architectures and systems, the best results are achieved by solutions that focus on improving specific business problems. Thus, the method concludes with a validated prototype, where not only is a part of the software ready, but there is also clarity on the steps and investment necessary to scale the solution.

Considering the business context as fundamental to the success of AI solutions, our role is not only to help develop but to contribute to the company's autonomy with the technology. By empowering teams to incorporate and innovate with the technology, the method accelerates adoption in enterprises, offering a concrete path for the company to achieve results with Artificial Intelligence.

Are you ready to explore the new paradigm in your business? Schedule a conversation.

Want to learn more about how we develop our solutions? Read our article on how we create multi-agent systems to accelerate results in enterprises.