Automate, empower and transform your operations
On a daily basis, many teams struggle to be efficient, and the attempt to solve this with technology often fails due to the distance between the business area and the AI solution. This gap, combined with implementation challenges and an analytical culture under development, explains why
up to 95% of AI projects tend to fail.
This generates paralysis and raises doubts among many managers:
Where do I start?
What is the real level of difficulty?
How can I ensure that this will generate value for the business?
Which methodology should I use?”
The solution
A digital and specialized workforce
Imagine having a tireless expert in every area of your company, ready to carry out tasks, analyze data, and streamline processes. That’s exactly what AI Agents are.
Defined as a “company employee with the specialization to work in a certain area”, they are designed to receive instructions, structure an action plan, access internal knowledge bases and systems via APIs and, finally, generate a response or carry out a task with precision in practically any area: Marketing, Customer Service, HR, Software Engineering, Operations and much more.
Four-layer structure
To ensure success, the working method covers four layers of depth, ensuring alignment from the business vision to the continuous evolution of the solution.
Defines the expected final product, the value it creates for the business, the alignment with strategic priorities, and what constrains or guides the project.
Defines the project approach, the accepted level of productization and speed, and the AI strategy to solve the problem.
Specifies the technology stack, the technical design of the agents, and their cognitive capabilities.
Ensures that success is measured, risks are controlled, and the product undergoes continuous evolution.
Complete Engineering Vision
We understand that the success of an AI agent depends on robust software engineering, not just the language model.
How we have supported our customers in this challenge
Bridging the gap between Business and Technology
Our first step is always the prioritization of use cases that truly create value for the business, starting from the company’s strategy and the involvement of stakeholders.
Agile and Value-Focused Delivery
To reduce uncertainties, we evolve initiatives in a phased manner, from a Proof of Concept (1 to 2 days) to a Scaled Solution, going through Proof of Value and MVP (8 to 12 weeks).
Industry Expertise and Strategic Partnerships
Agnostic performance, with clients across various industries. In addition, we hold certifications and are approved partners of the leading technology providers, such as Azure, AWS, and Google Cloud.
How autonomous agents are transforming corporate operations
Proven impact on productivity
The effect of empowering teams with AI is not theoretical. A study by Harvard Business School demonstrated that employees who use Gen AI become drastically more efficient:
12,2%
→ more productive, delivering more tasks.
25,1%
→ faster in the execution of their activities.
40%
→ higher in the quality of results compared to those who do not use the technology.
Success Case
Supremo Tribunal Federal and EloGroup launch “Maria,” an AI that streamlines services at the Court
The Challenge
The Supremo Tribunal Federal (STF), one of the most demanded courts in the world, faced the challenge of managing the immense volume of procedural documents that arrive daily. The classification of these documents was a manual and repetitive task that consumed valuable time from court staff, impacting the agility of case processing.
The Solution
In partnership with EloGroup, the STF’s Secretariat of Information and Communication Technology developed “Maria,” an Artificial Intelligence tool designed to automate this task. Using natural language processing and machine learning, Maria reads, identifies, and classifies procedural documents automatically, inserting identification tags directly into the electronic case files.
The Result
In partnership with EloGroup, the STF’s Secretariat of Information and Communication Technology developed “Maria,” an Artificial Intelligence tool designed to automate this task. Using natural language processing and machine learning, Maria reads, identifies, and classifies procedural documents automatically, inserting identification tags directly into the electronic case files.
Other Cases
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