Applied AI Engineering
AI applied to your operations, connected to the systems your company already uses.
We identify processes with automation potential, integrate the solution into your environment, and validate a pilot with clear criteria before expanding the investment.
For 12 years, Develoz has built software, integrated systems, and automated processes for operations in Brazil and abroad.
THE REAL CHALLENGE
An AI demo does not solve an entire process.
The challenge is not just choosing a tool. It is finding a process worth improving, connecting the solution to the right systems, and defining how people will track the results.
When AI never reaches operations
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Chatbots without business context
they answer generically, but do not follow the process's rules, exceptions, and steps.
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Isolated tools
they run outside the real workflow and do not talk to the ERP, TMS, databases, or the team's spreadsheets.
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Ideas without validation
they look promising in a presentation, but have not been tested with real data, users, and constraints.
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Teams without a defined workflow
the tool is deployed, but nobody knows when to use it, who reviews exceptions, or how to measure its performance.
What needs to be defined
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Business rules
the workflow accounts for criteria, permissions, exceptions, and points of human review.
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Required integrations
APIs, databases, TMS, telemetry, and other systems enter the planning from the start.
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Validation criteria
the pilot is evaluated by the results observed in the process, not just by the quality of a demo.
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Team involvement
the people involved know how to operate, review, and monitor the solution.
WHAT WE DELIVER
From an identified opportunity to a pilot in a controlled operation.
AI opportunity diagnosis
We map processes, bottlenecks, data, and systems to identify where AI can create value and which conditions must be met.
What you receive:
prioritized opportunities, benefit hypotheses, dependencies, risks, evaluation criteria, and next steps.
Automation and integration pilot
We build a bounded workflow with the users, data, and systems defined in scope to test the solution in a controlled environment.
What you receive:
a functional pilot with the planned integrations, validation criteria, and a record of observed results.
Deployment, training, and governance
We prepare the operation to use the solution, monitor its behavior, and review rules as the process evolves.
What you receive:
support materials, defined responsibilities, monitoring controls, and an evolution plan.
POSSIBLE APPLICATIONS
Where AI can support your operations.
These examples are a starting point. The application depends on the process, available data, access, and technical conditions identified in the diagnosis.
Logistics, fleets, and telemetry
Application:
cross telemetry data with operational records, support audits, and highlight exceptions for the team to analyze.
Benefit:
more visibility into inconsistencies and an analysis queue organized by business criteria.
Backoffice and documents
Application:
extract information from operational and fiscal documents, validate fields, and organize discrepancies for review.
Benefit:
less repetitive work and more clarity about what needs human review.
B2B operational support
Application:
guide employees, suppliers, and customers through routine queries, with access limited to the systems and data defined in the project.
Benefit:
more consistent answers and requests routed to the appropriate workflow.
HOW THE PROJECT MOVES FORWARD
We validate with real data before expanding the investment.
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01
Operations diagnosis
We talk with the people responsible, map the process, analyze available data, and prioritize opportunities. This stage is usually planned for 2 to 3 weeks.
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02
Pilot definition
We choose the workflow, systems, users, access, validation criteria, and each party's responsibilities.
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03
Build and test
We develop the solution, implement the planned integrations, and test the workflow in a controlled environment. The pilot is usually estimated at 4 to 6 weeks after scope definition.
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04
Deployment and follow-up
We prepare the team, monitor usage, review controls, and define next steps based on observed results.
SECURITY AND GOVERNANCE
Data, access, and decisions under control.
Each project defines how data will be processed, who can access it, which actions require human review, and which records will be kept for operations and auditing. The controls adopted depend on the architecture, contracted services, configurations, and the organization's policies.
Data handling and isolation
We define where data will be processed, who can access it, and which configurations are required. Use for third-party training is evaluated according to the services and contracts adopted.
Privacy and LGPD
Purpose, legal basis, retention, anonymization, deletion, and responsibilities are evaluated according to the processing performed.
Access control
Data and actions are restricted according to roles, permissions, and authorized integrations.
Logs and traceability
We define which events must be recorded, for how long, and who may consult them for operations and auditing.
Human review and exceptions
We establish where a person must validate information, stop the workflow, or correct a decision before the process continues.
Infrastructure and integrations
The architecture may include separated environments, encrypted traffic, and protected credential management, according to the project's requirements.
ABOUT DEVELOZ
Software engineering to connect decisions and operations.
Develoz brings together 12 years of experience in software engineering, integrations, databases, and process automation in Brazil and abroad. We apply this experience to turn AI opportunities into solutions that make sense for operations, can be tested in a controlled scope, and have defined criteria, owners, and next steps.
NEXT STEP
Which process in your operations deserves evaluation?
Tell us where your team loses time, repeats tasks, or performs extensive checking. We will analyze the process, data, and systems involved to assess whether there is a viable AI opportunity.
Frequently asked questions
Does my company need to replace its ERP or current systems?
The project starts from the systems your company already uses. We evaluate the available interfaces, access, and constraints to define how the integration can be done. When a direct connection is not viable, we study alternatives compatible with the process.
Will my data be used to train public models?
That depends on the services and architecture adopted. The project defines which providers may process the data, which privacy configurations will be applied, and which uses are allowed. These conditions must be formalized before deployment.
How long does it take to see the first results?
The diagnosis is usually planned for 2 to 3 weeks. When there is a pilot, its build is usually estimated at 4 to 6 weeks after scope definition. Timelines depend on data, access, integrations, and other project conditions.
Does my team need to know AI?
No. The people involved need to know the process that will be improved. Develoz handles the technical implementation and prepares the team to operate, review, and monitor the solution.
Can the AI make decisions on its own?
It depends on the process and the risk involved. The project can define automation limits, permissions, human review, and procedures to correct or stop the workflow.
Is it possible to connect external systems or government platforms?
It may be possible, as long as there are authorized access and compatible interfaces, such as APIs, digital certificates, or file imports. Viability is assessed in the diagnosis.
How do you handle incorrect AI answers?
We define data sources, rules, validation criteria, human review, and procedures to handle exceptions. AI systems should not be presented as error-free.
Does Develoz guarantee savings or financial return?
The diagnosis can identify benefit hypotheses and criteria to evaluate the return. Results depend on the process, data quality, integrations, and team adoption.