Documents and knowledge
Search, classification and synthesis of corporate content with defined sources and permissions.
AI integration and automation in business processes
Artificial intelligence applied to documents, requests and company data, with integrations and controls defined for each process.
We start from a limited process, with available data and verifiable results. A prototype allows you to evaluate quality, time and costs before integration.
We define responsibilities, permissions and human control points before extending automation to other tasks.
From business process to solution
Repetitive tasks can offer opportunities for automation when data, rules and responsibilities are defined. We evaluate which steps can be assisted by AI and which require human verification.
We create a prototype on a limited case and evaluate its quality, times and exceptions. The results guide the decision to integrate or extend the solution.
Applications to evaluate together
Recurring requests
Collecting, routing and preparing email responses, forms and support.
Operational flows
Steps between automated systems with rules, validations and human checkpoints.
Value measurement
Time saved, quality and exception rate observed before extending the solution.
What we define in the project
- 01Process map
- Input data, expected results, exceptions and responsibilities described before development.
- 02Verifiable prototype
- A limited use case with quality criteria and controlled data.
- 03Rules and supervision
- Permissions, controls and human steps explained in the flow.
- 04Effectiveness indicators
- Times, errors and exceptions measured to decide if and how to extend.
From analysis to startup
- DiscoveryWe identify repetitive activities, data sources and organizational constraints.
- PrototypeWe build a limited test with success criteria and borderline cases.
- IntegrationWe connect the solution to existing tools with controls and traceability.
- Management and controlMonitoring, reviews and responsibilities are defined to verify operation over time.
Frequently asked questions
Which process is best to start with?
From a frequent and measurable activity, with available data and clear verification criteria. A first limited case allows us to evaluate quality, costs and benefits before the extension.
Is AI replacing people?
Our goal is to reduce mechanical work and make information more accessible. Decisions that require responsibility, experience or relationships remain with the people.
Where is the data processed?
Architecture, vendors and permissions are chosen based on data sensitivity and project requirements. These aspects enter into the initial analysis.
How do you measure if it works?
With indicators defined before the prototype: time taken, output quality, number of exceptions and human interventions required.
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Let’s discuss your project
Tell us about your business, your goals and the tools you use. We will assess your requirements, define the work involved and prepare a proposal.