Data management and artificial intelligence platform
Transform data and AI into governed value, with governance, orchestration, and a focus on measurable ROI.
A data and artificial intelligence platform for businesses that connects models, agents, and decisions to business outcomes.
Scalable and secure ROI/NPS-driven agnostic solution for different sectors.
Financial
retail
Industry
Agriculture
GOV-AI: AI governance and orchestration with a focus on value.
It integrates strategy, portfolio, agents, and data to generate measurable value and ROI, using the infrastructure you already have.
Data-driven value strategy
Defining KPIs, NPS, and ROI with a direct link between AI agents and business results.
VMO in action
Operational model with executive scorecards and 360° visibility of strategic impact.
AI Governance
Framework de governança de IA, com explainability, trilhas de auditoria e controle de risco por agente.
How the platform works
AI governance across 6 pillars
An organizational and technical architecture for scaling artificial intelligence in companies with governance, risk control, and a focus on value creation.
Value Strategy
North metrics and Value × Complexity matrix per journey.
AI Governance
LoA, risk, audit and transparency.
Change Management
Usage KPIs, microlearning and champions network.
Active VMO
Charter, value streams, cadences, and scorecards.
LPM by Value
Funding with guardrails and a dynamic portfolio.
Architecture & Data
API blueprint, RAG/MCP, data catalog, and telemetry.
Results in numbers
Case studies of artificial intelligence and automation with measurable impact.
44%
revenue increase
Case study of data analysis and digital strategy applied at Converse in 23 days.
90%
Less time
Case study of digital customer service using AI, increasing efficiency and customer satisfaction at Viveo.
1 dia
Case study of financial process automation with bank adjustments implemented at BoaVista.
95%
of the quotes answered by AI
Automation case study using artificial intelligence that generated over R$1 billion in incremental revenue at Viveo.
5 bi
per year
Case study of personalization with artificial intelligence for offers and engagement in Shell Box.
1,5 bi
bottles
A case study of computer vision on a global scale, with QR and AI applied in 20 countries for Budweiser.
More results in strategic sectors such as utilities, with recognition from Cliente S/A at Comgás, and agribusiness, with data as a strategic asset at Yara.
How we begin:
90 days to generate value
with artificial intelligence
0–30 days
30–45 days
45–60 days
60–90 days
Foundation & Assessment
AI governance maturity assessment, VMO definition, and initial strategic indicators.
Change & Engagement
Structuring the adoption of artificial intelligence in companies, with usage KPIs and an engagement plan.
Architecture & Governance
Technical blueprint with data architecture for AI, risk controls, LoA, and compliance.
Execution & Results
Prioritized pilot projects with measurable ROI in AI, impact validation, and scaling plan.
AI security, compliance, and governance
Compliance with LGPD and sector regulations
Practices aligned with the LGPD (Brazilian General Data Protection Law), Bacen (Central Bank of Brazil), and CVM (Brazilian Securities and Exchange Commission), with audit trails, structured records, and risk control in artificial intelligence projects.
Explainability and auditing of AI models
Explainable AI policies, prompt security, and continuous monitoring for transparent and traceable decisions.
LoA and SLOs in AI governance
Defining levels of autonomy per agent and service level objectives, with real-time monitoring and risk management.
Compatible with your existing infrastructure, an API-agnostic solution with observable events.