New Technologies and Methodologies

We specialize in the strategic adoption of new technologies and methodologies, driving competitiveness, resilience, and leadership in companies

In today's business environment, adopting new technologies and methodologies is no longer an option but a critical factor for competitiveness and sustainability. Artificial intelligence – including generative AI, machine learning, quantum computing and other emerging technologies – are transforming the way organizations create value, make decisions and relate to their environment.

However, this transformation also introduces significant challenges: responsible data management, privacy protection, algorithmic transparency, fairness of outcomes, and safeguarding against cyber and reputational risks. In this context, the challenge isn’t just about adopting new technologies; it’s about doing so ethically, securely, and in compliance with a rapidly evolving regulatory landscape.

Supervisory and regulatory bodies are increasingly promoting responsible and innovative use of technology, requiring companies to adopt a more proactive and rigorous approach. Integrating these capabilities demands a blend of advanced technical expertise, strategic foresight, and an organizational culture committed to continuous improvement.

In short, new technologies have evolved from tools for process optimization to central pillars of business transformation, capable of driving efficiency, resilience, and leadership in an increasingly dynamic environment.

Our practice

At Management Solutions, we help organizations incorporate new technologies and methodologies as a lever for transformation, combining innovation, technical rigor, and regulatory compliance. Our practice ranges from artificial intelligence—including generative AI—and machine learning to quantum computing and other emerging developments, with a comprehensive approach that brings together business, technology, and risk.

We have a Center of Excellence in Generative AI and machine learning, more than 1,500 professionals specializing in modeling and artificial intelligence, and accumulated experience in more than 700 AI and GenAI projects in international corporations. We have proprietary solutions for AI development, testing, and control (e.g., GenMS, ModelCraft, Gamma), and we maintain ongoing collaboration with AI regulators and supervisors in the regions where we operate.

Our approach combines:

  • Technology strategy and governance, to define frameworks for adoption, organization, and risk appetite in AI and new methodologies.
  • Applied innovation and industrialization, through the development and scaling of use cases in real environments, supported by flexible collaboration models such as AI Studio.
  • Regulatory and ethical compliance, facilitating alignment with the AI Act, ISO 42001, and other international frameworks.
  • Risk analysis and control, evaluating the explainability, fairness, robustness, security, and costs of AI systems.

Our service offering

  • Compliance and technology governance
    • Interpretation and application of regulatory frameworks (AI Act, ISO 42001, NIST AI RMF, etc.).
    • AI audits and compliance plans.
    • Definition of policies, procedures, and governance structures.
  • Strategy and framework for AI and emerging technologies
    • Strategies and roadmaps for the responsible adoption of AI and new technologies.
    • Design of adoption and control frameworks, including governance and organization.
    • Assessment of IT and data capabilities for integration.
  • Risk analysis of AI and emerging technologies
    • CompletionDevelopment of risk frameworks for AI and other technologies.
    • Testing, validation, and auditing of AI and GenAI systems.
    • Control of explainability, fairness, robustness, and costs.
  • Development of machine learning and generative and agentic AI.
    • AI Studio / GenMS: agile and industrialized development of generative and agentic AI use cases.
    • ModelCraft: development and validation of machine learning models.
    • Cost-benefit analysis, production deployment, and scaling of technological solutions.

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