Real operations. Systems for the future.

We transform systems in established companies to improve performance, reduce risk, and integrate AI safely.

View Selected Work

Results in Production

UFPE
HEALTH TECH

AI Integration in Hospital Operational Workflows

Development of predictive monitoring models applied to more than 400,000 patients per year across 45 university hospitals, with direct integration of ML systems into clinical workflows in regulated production environments.

PROCERGS
PUBLIC SECTOR

Legacy System Modernization — State Data Center

Worked on modernizing an accounting system with over 20 years of operation, used by more than 40,000 users, focusing on maintainability and operational continuity during infrastructure transition.

eCOO
AGRICULTURE

Operational Platform for Agricultural Trade

Led the development of digital infrastructure enabling more than 60 tons per year in agricultural transactions, within a federal initiative to modernize the sector.

Rede Pampa
MEDIA

Mobile Systems Standardization — 20 Applications

Contributed to structural improvements in a mobile ecosystem with 20 applications, increasing maintainability, improving release coordination, and enabling scalability across product teams.

The Path of Operational Engineering

We don’t implement isolated AI tools. We structure operational systems to evolve with technology without compromising what already works.

01
Diagnosis

Operational Assessment

Structured analysis of processes, data flows, and inefficiencies to identify modernization opportunities and define clear return targets.

02
Implementation

Systems Modernization

Modernization of operational systems with AI and data integrated into workflows, prioritizing reliability, performance, and measurable gains.

03
Partnership

Strategic Continuity

Long-term collaboration to sustain and expand operational systems, build internal capability, and execute strategic AI initiatives.

Operational Outcomes

What changes when systems use data to directly influence results.

Predictable operations. No constant firefighting

Transition from a reactive model to predictable operations, with fewer incidents, clearer responsibilities, and systems that prevent recurring bottlenecks.

Better decisions, without overloading teams

Data and AI embedded into workflows, enabling faster and more consistent decisions without overwhelming teams.

Systems ready to scale, without reinvention

Operational infrastructure capable of supporting new automations, products, and continuous expansion without frequent rebuilds.

Measurable results from the start

Clear operational gains, with direct impact on costs, efficiency, and return targets defined from the diagnostic stage.

Field Notes by Bandeira.

Human perspectives on technology and its impact on reality.

Frequently Asked Questions

A few clarifications on how the work is conducted.

Design the next version of your operations.

For those responsible for performance and long-term growth, a conversation about structuring systems and applying AI for a durable advantage.