Capabilities that are built, more than solution delivery.
Each service line addresses a different moment in the transformation journey. They can be engaged independently or combined into an integrated engagement, depending on where the organization stands.
Strategy and Intelligent Transformation
We define direction before building anything.
Most transformation initiatives fail not because of technology, but because no one ever clearly defined what they were trying to achieve or which capabilities were needed to get there. We work with the leadership team to translate strategic ambition into a concrete path.
- Digital strategy and artificial intelligence
- Digital maturity assessment and AI adoption readiness
- Identification and prioritization of transformation opportunities
- Evolution roadmap aligned with strategy
- Governance models, policies, regulations and technology standards
- Architecture principles, guidelines and standards
- Management of technological, ethical and regulatory AI risks
- Change management support
Architecture and Solution Design
We design solutions that solve today and scale tomorrow.
A poorly architected solution works in year one and becomes an obstacle by year three. Architectural design is the difference between an investment that grows in value and one that grows in maintenance cost.
Data and analytics
Data warehouse and data lake · batch and streaming pipelines · vector databases and semantic search · data governance, quality and lineage · analytical architecture for data science
Artificial intelligence
Landing zone for AI workloads · RAG, fine-tuning and prompt engineering · agent design and multi-agent orchestration · MLOps and LLMOps · security guardrails and responsible use
Enterprise and business
Target architecture · process and capability modeling · technical standards and construction guidelines
Applications and infrastructure
Integration and interoperability · cloud, hybrid and microservices · event bus and durable workflows · security, identity and access
Product design
Digital products and services · user experience
Implementation of Intelligent Digital Solutions
We turn strategy into working capabilities.
A diagnosis without implementation is a document. This line closes the gap between what was decided and what actually operates inside the organization.
Data science and analytics
Predictive, classification and recommendation models · mining and segmentation · Business Intelligence and indicators · datamarts and data engineering · visualization and self-service analytics
Language models and AI agents
Domain assistants and copilots · institutional RAG platforms · autonomous agents and multi-agent orchestration · integration via API, MCP and function calling
Process automation
Workflows with n8n and low-code platforms · document and operational automation · natural language processing · orchestration with human-in-the-loop
Development and engineering
Web, mobile and desktop applications · APIs and interoperability · legacy modernization · portals and content management · DevOps and CI/CD
Enterprise platforms
Odoo ERP implementation and evolution · CRM and commercial management · connectors to legacy platforms
Velocity AI
Transformation is sustained by people, not by vendors.
The goal of any engagement should be to become unnecessary. Velocity AI is our artificial intelligence adoption program: it exists so that the organization develops real autonomy, with teams that understand, decide and evolve without permanent dependence on third parties.
Velocity AI for Leaders
Executive trainingFor boards, executives and managers who need to make decisions about artificial intelligence without being technical specialists.
- Executive training in digital transformation and artificial intelligence
- Criteria to evaluate, prioritize and approve AI initiatives
- Understanding of ethical, regulatory and reputational risks
- Definition of governance and organizational usage policies
- Reading indicators and measuring return on initiatives
Velocity AI for Developers
Technical trainingFor development, architecture and data teams who will build and sustain the solutions.
- Language models: prompt engineering, RAG, fine-tuning and evaluation
- Agent design, construction and orchestration
- Data science, data engineering and applied analytics
- MLOps and LLMOps practices
- AI-assisted development and model integration
- Specialized support during project execution
Velocity AI for Upgrade the Legacy
Legacy modernizationFor organizations with critical systems in operation that can neither be stopped nor replaced overnight.
- Legacy system diagnosis and technical debt assessment
- Progressive modernization strategy without interrupting operations
- Training for the teams that sustain current systems
- Embedding intelligent capabilities into existing platforms
- Knowledge transfer and technical documentation
- Adoption programs based on proprietary methodologies (DT-Crisp-DM, DT-RADMaxIA)
- Building internal communities of practice
- New ways of working and a culture of innovation
Not sure which line to start with?
In most cases the answer emerges in a first diagnostic conversation. No commitment.