New Technologies and Methodologies
We specialize in the strategic adoption of new technologies and methodologies, driving competitiveness, resilience, and leadership in companiesIn 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, with more of 1,500 professionals specialized in advanced modeling and accumulated experience from more than 700 AI and GenAI projects with 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 adoption frameworks, organization and risk appetite in AI and new methodologies.
- Regulatory and ethical compliance, to facilitate alignment with the AI Act, ISO 42001 and other international frameworks.
- Risk analysis and control, to assess explainability, fairness, robustness, security and costs of AI systems.
- Applied innovation and industrialization through the development and scaling of use cases in real environments, supported by flexible collaboration models such as the one applied in AI Studio™, a service that facilitates access to prototypes for refining the scope of potential further AI-based developments with full knowledge of the associated risks and costs.
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™: service that transforms any idea into a functional MVP in less than three weeks using generative AI.
- GenMS™: framework for developing generative and agentic AI use cases.
- ModelCraft™: development and validation of machine learning models.
- Cost-benefit analysis, production deployment, and scaling of technological solutions.







