We

Proprietary AIS methodology

Our adaptation of the scientific method to the digital world

The scientific method is a series of steps that seek to design a safe path that connects two unique moments: the unknown with the certainty of its causes.

It is a methodology for obtaining new knowledge, a historical characteristic of science, and consists of: systematic observation, contributions of various forms of reasoning (logic),

formulation of hypotheses, experimentation, demonstration or refutation and generation of a scientific theory, which for us is the achievement of the solution.

Knowledge increases with each cycle or iteration between the models tested, and this leads to the final solution.

AIS Model

It integrates methodologies for prioritizing efforts based on the various "quantitative measures of pain", identification of possible causes and immersion to assess solution alternatives and implement them.

Our preferred approach is to transfer knowledge to our customers, so that they are responsible for deploying the solution.

When this is not possible, we take responsibility from start to finish, while fostering the generation of skills in IT teams that allow them to withstand new challenges.

We refer to system pain as the negative impact received by customers due to incidents of a digital nature, caused by unattended processes or human intervention in the services and/or products involved.

Measuring the "real weight" of the pains

Our "Cloudspace Discovery" model consists of algorithms that deliver a "measure of pain" in exact (quantitative) terms, allowing for consistent prioritization based on data and not just on the often subjective perceptions of those affected.

Testing different models of possible actions

Our adaptation of the scientific method coated with digital technology, which allows us to navigate safely in the various "pains" presented, with the certainty placed in the scientific methodology, by the hand of our specialists.

Applying the "winning model

The various alternatives for applying the solution are presented in the last phase of the model, where we present a range of possibilities determined for each client, adjusted to budgets, IT team skills and growth challenges.

Measuring the "real weight" of the pains

Our "Cloudspace Discovery" model consists of algorithms that deliver a "measure of pain" in exact (quantitative) terms, allowing for consistent prioritization based on data and not just on the often subjective perceptions of those affected.

Testing different models of possible actions

Our adaptation of the scientific method coated with digital technology, which allows us to navigate safely in the various "pains" presented, with the certainty placed in the scientific methodology, by the hand of our specialists.

Applying the "winning model

The various alternatives for applying the solution are presented in the last phase of the model, where we present a range of possibilities determined for each client, adjusted to budgets, IT team skills and growth challenges.