Humans and AI Agents working side-by-side to deliver solutions with enhanced agility, quality, and security.

Our AI Solutions
AI Inception

Comprehensive user stories and structured epics.  Transform your Discovery process with AI Agents.

AI Code Security Diagnosis
Identify vulnerabilities before they become critical issues.
Code Migration
Modernize your legacy systems without losing business logic.

Discover what truly matters before writing a single line of code.

The Product Owner (PO) remains in full control and holds primary responsibility. AI Agents accelerate execution while ensuring enhanced security and quality throughout the process.

 

Key Benefits:

Documentation Agility

Expanded Requirements Coverage

Human Validation at Critical Points

Superior Quality and Security

Rework Reduction

Seamless Management Platform Integration

How it works:
  • 1
    Project Configuration
    Platform Access: The PO logs into the platform and initiates a new project.

    Context Definition: Define the project scope and environment.
    Reference Upload: Upload supporting documents such as PDFs, images, videos, audio, or text.
    General Guidelines: Establish core parameters, including context, objectives, and business rules.

  • 2
    Epic Configuration

    • Specific Objectives: The PO outlines goals and specific rules for each Epic.
    • Targeted Uploads: Upload reference files specific to the current Epic.

  • 3
    AI Agent Processing
    • Data Analysis: Agents process data and conduct a comprehensive analysis of all content.

    • Contextual Interpretation: Deep understanding of project objectives and business rules.
    • Feature Identification: Identification of key functionalities and requirements.
    • Automated Generation: Instant creation of detailed User Stories and Epics.

  • 4
    Human Validation
    •  Review and Refine: The PO reviews the work of the AI Agents.
    •  Validate Stories: Confirm the accuracy of User Stories.
    •  Adjust Details: Fine-tune specific requirements.
    •  Information Supplement: Add additional context where necessary.
    •  Approve Integration: Final sign-off for system integration.
Direct Integration

•  Backlog Sync: Stories are directly inserted into your management platform.
•  Supported Platforms: Examples include Jira, Azure DevOps, and ClickUp.

Como funciona:
1.
Configuração do Projeto
• PO Acessa a plataforma e cria um novo projeto
• Define o contexto 
• Realiza o upload de documentos de referência (PDFs, imagens, vídeos, áudio, texto)
• Estabelece diretrizes gerais (Contexto, objetivos e regras do negócio)
2.
Configuração do Épico

• PO escreve os objetivos e regras específicas por épico;

• Realiza o upload de arquivos de referência específicos;

3.
Agentes de IA processam
• Processam dados e fazem a análise completa de todo o conteúdo
• Interpretam contexto, objetivos e regras
• Identificam funcionalidades e requisitos
• Geração automática de User Stories e Épicos
4.

Validação Humana

PO revisa e refina o trabalho dos Agentes:
•  Valida as User Stories
•  Ajusta detalhes 
•  Complementa informações
•  Aprova para integração
5.

Integração
direta

Stories inseridas na sua plataforma de gestão.
Exemplos:
• Jira
• Azure DevOps
• ClickUp
Transform your discovery process with AI agents to eliminate technical debt and future rework.
Case Study:

Client

One of the largest national healthcare cooperatives in Brazil.

The Challenge

The need to support the Product/Product Owner team in software engineering with higher operational efficiency, intelligent automation, and increased delivery scale, while maintaining quality and technical governance.

The Solution

Implementation of the GX2 AI Agent Platform, featuring a subscription model, structured onboarding, and a dedicated methodology to empower the Product team through automation, technical support, and the acceleration of development processes.

Results

Increased Productivity: Significant gains in output efficiency.

Automated Engineering Support: Seamless integration of AI into the software engineering workflow.

Operational Scalability: Ability to scale operations backed by AI support.

Future-Ready Infrastructure: A foundation built for continuous evolution and digital innovation.

AI Code Security Diagnosis

Identify vulnerabilities before they become problems.

Our hybrid team, composed of Humans and AI Agents focused on security, analyzes your applications' entire source code, identifying vulnerabilities, structural deficiencies, risks, and technical improvement opportunities.

Deliverables:

Detailed and actionable Recommendation Report.

Remediation suggestions based on market best practices (e.g., OWASP TOP 10).

How it works:
1.
Code Submission

The client provides access to the code repository or sends files securely.

We work with any programming language and framework.

2.
Automated Analysis

Our AI agents analyze the entire codebase for vulnerabilities, security flaws, sensitive data exposure, etc.

The analysis identifies everything from critical issues to improvement opportunities.

3.
Human Validation

Security specialists review AI findings, eliminate false positives, and prioritize real risks.

We evaluate your business context to determine which vulnerabilities have the greatest impact on your operation.

4.
Detailed Report

You receive a complete report with all identified vulnerabilities, classified by criticality.

We include a clear description of each problem, its potential business impact, and practical remediation suggestions.

5.
Action Plan and Support

We deliver a prioritized action plan for vulnerability remediation.

We offer support to clarify questions and, if desired, can implement the most critical fixes alongside your team.

Identify vulnerabilities in your code before they become critical security issues.
Case Study:

Client

A large-scale company in the private healthcare sector operating throughout Brazil, with decades of market presence.

The Challenge
  • Rapid and efficient diagnosis of a broad set of mission-critical systems.
  • Managing heterogeneous teams.
  • Scope: Architecture, standards, code quality, and security.
The Solution

Augmented Squad: A multidisciplinary team including Architecture, Technical Leadership, Product, and AI Agents.

Comprehensive Diagnosis: Enhanced agility, quality, and coverage.

Actionable Reporting: Generation of detailed recommendation reports.

Results

 Independent Analysis: Conducted without requiring time or involvement from the client's internal teams.

 Comprehensive Documentation: Generation of both detailed technical reports and executive summaries.

 Efficiency: Average diagnostic time per application: 5 days.

AI-Powered Code Migration

Modernize your legacy systems without the need to rebuild your business rules from scratch.

We perform intelligent migration of legacy systems to modern languages. Our AI Agents analyze and completely convert the code, keeping business logic intact while ensuring security and high performance.

Key Benefits:

Safe migration from legacy to modern programming languages.

Significantly lower migration overhead compared to manual efforts.

Full Preservation of Original Business Logic

Clean, Documented, and Maintainable Code

How it works:

  • 1

    Legacy Code Ingestion

    Identify functions, variables, rules, User Stories (US), and Acceptance Criteria.

  • 2

    New Code Construction

    Convert from the legacy language to the new target language; generate UI and tests.

  • 3

    Testing and Validation

    Validate language equivalence and parity.

  • 4

    Documentation and Reporting

    Generate technical reports and a Traceability Matrix.

Deploy & Demo

Interactive Streamlit interface for results and simulation.

Transform legacy code into modern systems and gain agility without rebuilding from scratch.
Case Study:

Client

Large-scale enterprise in the multimodal logistics sector with thousands of employees.

The Challenge

Outdated systems built in MatLab
with inadequate technological support, poor user experience, and a scarcity of specialized professionals.

The Solution

Conversion to Python

Implementation of an Augmented Squad (Architect, PO, Developers, QA, and AI Agents) to perform an autonomous MatLab-to-Python conversion.

Results

 New System: Full Python development (structures, backend, and frontend) powered by AI.

 Complete Documentation: Automated generation of requirements, rules, and database schemas.

 Validated Accuracy: Parity confirmed via an acceptance plan comparing outputs.

 Efficiency: Achieved modernization and autonomy with minimal manual intervention

Alphanumeric CPF/CNPJ Compliance

Ensure full compliance with the new Brazilian regulatory standards.

Automated system adaptation for the new alphanumeric CPF/CNPJ format, as required by Brazilian law. We guarantee total compliance with RFB (Federal Revenue Service) standards.

What We Deliver:

Full audit of all CPF/CNPJ fields and validation logic within the system.

Programmatic updates to support the new alphanumeric format across your database and code.

Rigorous validation and testing against official legal requirements.

Comprehensive technical records of all modifications performed.

How it works:
  • 1
    Analysis and Mapping

    We identify every point in the system that uses CPF/CNPJ.

    We assess the impact of the change on internal systems, partner integrations, and databases.

    You receive a comprehensive diagnosis of everything that needs to be adjusted.

  • 2
    Code Update

    We adapt your system to support the new alphanumeric format.

    All validations, screens, and rules are updated.

    The change is made in a controlled manner, allowing you to activate the new format gradually according to your strategy.

  • 3
    Testing and Validation

    A full battery of tests covering all possible scenarios.

    We ensure everything is compliant with RFB (Federal Revenue) regulations.

  • 4
    Gradual Deployment

    We implement changes in production securely and gradually.

    We monitor everything closely to identify and resolve any issues quickly.

Documentation and Training

Complete technical documentation of all changes.

User guides for development and support teams.

Training for stakeholders on the new processes.

Compliance report for auditing purposes.

Ensure compliance with the new RFB legislation and avoid fines and tax issues in the future
Case Study:

Client

Mid-sized company in the services sector and regional logistics operations.

The Challenge

With the new legislation, the company needed to quickly adapt its systems to avoid tax risks and operational interruptions.

The Solution

Automated system updates to support the new alphanumeric CPF/CNPJ format.

Results

 System updated and in compliance with the new legislation.

 Increased security in tax and registration processes.

 Rapid implementation with minimal impact on operations.

 Structured documentation to facilitate future developments.

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