01
AI & Generative AI
Agents, copilots and RAG integrated with your systems and data, with governance from day one.
- AI strategy and architecture
- RAG and knowledge systems
- AI agents and LLM integration
- AI governance
Enterprise Architecture · AI · Data · Cloud · Integration
AI, data, cloud and integration.
Architected to work as one.
We help companies in Brazil and worldwide design, integrate and modernize enterprise technology: from generative AI and data platforms to cloud and legacy integration, with the architecture that holds it together.
- Since 2011
- Brazil and USA
- IBM · Oracle · MuleSoft · Boomi · ServiceNow · Azure · AWS · Fabric · Databricks
The problem we solve
Complex technology estates rarely fail for lack of tools. They fail for lack of architecture.
Most companies already own the platforms. What is missing is the design that connects AI, data, cloud and the systems that run the business, and the engineering to make it real.
01
AI pilots that never reach production
Without integration, governed data and security, generative AI stays a demo.
02
Integration that blocks every change
Point-to-point interfaces and aging middleware turn each project into an archaeology exercise.
03
Cloud and data programs that run in parallel
Separate initiatives compete for the same people and never share a foundation.
What we do
Five practices. One architecture.
Each practice stands on its own. Together they are how we take a company from a fragmented estate to an intelligent, connected platform.
02
Data & Analytics
Modern data platforms on Microsoft Fabric and Databricks, with semantic models and governance that BI and AI can trust.
- Data architecture and lakehouse
- Microsoft Fabric and Databricks
- Power BI and semantic models
- Data governance
03
Cloud & Modernization
Landing zones, migration waves and application modernization on Azure, AWS and Google Cloud.
- Cloud architecture and landing zones
- Migration and modernization
- Hybrid and multi-cloud
- Cost optimization
04
Enterprise Integration
APIs, SOA, ESB and events on IBM, Oracle, MuleSoft, Boomi and cloud-native platforms, plus ServiceNow integration. Our foundation since 2011.
- API management
- IBM, Oracle, MuleSoft and Boomi platforms
- ServiceNow integration
- Event-driven and legacy integration
05
Enterprise Architecture
Assessments, target architectures, technology roadmaps and TCO that turn projects into a platform.
- Architecture assessment
- Technology roadmap
- Solution architecture
- Governance and TCO
How we work
From assessment to running systems, with the same team accountable.
We are not a strategy firm that hands over a deck, nor a software house that waits for specifications. We design and we build.
- 01
Assess
Map systems, data, integrations and constraints. Find where value and risk actually sit.
- 02
Architect
Define the target architecture, platforms, governance and a roadmap sequenced by dependency.
- 03
Build
Deliver in phases with senior engineers, evaluation and monitoring from the first release.
- 04
Modernize
Open the legacy, retire duplicates and turn the first deliveries into a reusable platform.
Built for complex environments
Enterprise platforms and modern stacks, without vendor bias.
Years inside IBM, Oracle, MuleSoft and Boomi environments, combined with cloud-native, data and AI engineering.
Integration
- IBM App Connect Enterprise
- IBM API Connect
- IBM DataPower
- IBM MQ
- Oracle SOA Suite
- Oracle Service Bus
- MuleSoft Anypoint
- Boomi
- ServiceNow IntegrationHub
- Apache Kafka
Cloud
- Microsoft Azure
- Amazon Web Services
- Google Cloud
- Kubernetes
- Serverless
- Terraform
Data
- Microsoft Fabric
- Databricks
- Power BI
- Direct Lake
- Delta Lake
- Unity Catalog
AI
- Azure OpenAI
- AWS Bedrock
- Anthropic Claude
- LangChain
- LangGraph
- Model Context Protocol
- pgvector
Enterprise systems
- SAP
- Salesforce
- ServiceNow
- Oracle applications
- Infor CloudSuite
- Custom and legacy platforms
Engagement models
Work with us the way your program needs.
Fixed scope when the outcome is defined. Advisory when the decision is the deliverable. Specialists when your team needs depth.
Fixed-scope projects
Defined scope, timeline and deliverables, from architecture assessments to full platform implementations.
Architecture advisory
Senior architects reviewing, designing and supporting critical decisions alongside your leadership.
Specialist allocation
Senior integration, cloud, data and AI engineers embedded in your teams for as long as needed.
Executive enablement
Mentorship and training in AI and systems integration for leaders and technical teams.
Led by an architect
Architecture advice backed by two decades of delivery.
CHM IT was founded in 2011 by Carlos Medger, an enterprise integration and solution architect who has since extended the practice into cloud, data and applied AI. Every engagement is led by people who have built these systems in production.
- Founded in 2011
- Computer Science degree and MBA in IT Management
- AI training in Silicon Valley
- Udemy instructor with 7,500+ learners
- Entities in Brazil and the United States
Insights
Technical perspectives on enterprise AI, data, cloud and integration.
Written by the people who design and build these architectures.
AI9 min read
What is enterprise AI architecture?
The difference between a successful pilot and a production AI capability is rarely the model. It is the architecture around it. Here is what that architecture contains and which decisions matter.
AI11 min read
How to build an enterprise RAG architecture
RAG is simple to demo and hard to run. This guide walks through the components of a production retrieval-augmented generation architecture and the decisions that separate a reliable system from a chatbot that hallucinates politely.
AI8 min read
AI agents vs traditional automation: when to use each
Agents are not a replacement for every workflow engine and RPA bot. They are a new tool for a specific class of work. Knowing which class is the difference between a reliable operation and an expensive experiment.
Let us talk about what is blocking your technology.
A conversation with an architect, not a sales call. Bring the problem, the systems involved and the outcome you need.