The AI value realization challenge
95% of organizations report zero measurable return.
MIT State of AI in Business (2025)
Most initiatives remain stuck in experimentation mode, failing to generate P&L impact.
How do we move from AI experimentation to scalable value creation?
Routine / Incremental AI
Impact depends on AI-literate teams capable of using tools effectively to boost value creation
Transformational AI
Impact depends on solutions deeply connected to the business context and priorities
What we deliver
A structured framework to deploy enterprise-grade AI Agents
Vision & Business Value
- Business case definition
- Stakeholder alignment
- Value levers and KPIs
- Risk exposure assessment
- Readiness evaluation (data & infrastructure)
Project Strategy
- PoC, PoV, MVP, or Production-grade deployment
- Definition of AI approach: Automation, AI Workflow, or AI Agent
- Scope and technical maturity assessment
Agent Design & Engineering
- Agent type (Single, Multi-Agent, Hierarchical)
- Orchestration model
- Memory architecture (short-term / long-term)
- Techniques (RAG, Text-to-SQL, Reasoning, Web Search)
- Tooling & APIs integration
- Security & governance layers
Monitoring & Continuous Optimization
- Agent performance metrics
- Business impact measurement
- Feedback loops
- Cost monitoring
- Risk management
AI Agents enable scalable operations without proportional headcount growth, by bringing efficiency and value creation to the business.
30-70%
productivity gains in complex, judgment-based service workflows
15-30%
reduction in cost per transaction across high-volume operations
Up to 50%
reduction in exception handling workload
Proven in complex environments
AI-Powered judicial document analysis and draft report generation for the Brazilian Supreme Court
Development of an AI solution designed to automate the analysis of procedural documents and support the generation of draft judicial reports. Through a dedicated web application, lawyers interact with the AI agent to identify appeals and contested decisions, analyze complex procedural records, extract legal references and structured insights, answer case-specific queries, and generate refined draft judicial reports using natural language processing and machine learning — accelerating case preparation and supporting faster decision-making.
Impact
90%+ classification accuracy rate
1,500+ petitions processed per month
GenAI virtual assistant for HR services
Implementation of a GenAI-powered virtual assistant to automate employee HR inquiries, delivering accurate and instant responses based on official policies and internal documentation. The solution reduces repetitive operational workload for HR teams, enhances employee self-service, and establishes a scalable AI-enabled communication channel for additional services and workflows.
Impact
67%+ automated response rate
50+ average weekly queries handled
AI assistant for RFP management
Implementation of an AI-powered solution to interpret RFP requirements, query internal knowledge bases, and automatically generate high-quality draft responses and follow-up questions. The solution accelerates proposal development, reduces response analysis time, and enables commercial teams to focus on strategic opportunities and client relationships.
Impact
~90% accuracy rate in generated response
~70% reduction in response analysis time
4%+ improvement in SLA
From assisted operations to autonomous decisions, AI agents take your GBS to the next level.
