Client: City of João Pessoa
Project type: Data intelligence and responsible AI for government
Application areas: tax collection (property tax, waste collection fee, service tax) and public health (emergency care units)
Technologies: predictive models, data analysis, information governance, natural language assistants
Compliance: LGPD compliance
Potential revenue identified: approximately R$ 200 million
João Pessoa identifies R$ 200 million in recoverable revenue with responsible AI
The challenge of data-driven public management in João Pessoa
The City of João Pessoa seeks to improve its planning and decision-making capacity in critical areas of public management, especially tax collection and health.
The municipality faces the challenges of:
- Identifying revenue recovery opportunities;
- Reducing inefficiencies in tax processes.
At the same time, it wants to improve the predictability of demand for health services, ensuring better allocation of resources and quality of the services provided to the population.
In addition, it is essential to ensure that all use of data complies with the requirements of the General Data Protection Law (LGPD).
AI for government: the solution applied by Bravonix
In partnership with Bravonix, an integrator of artificial intelligence, compliance and cybersecurity solutions, the City of João Pessoa is implementing a data intelligence project aimed at modernizing public management.
The initiative combines advanced artificial intelligence techniques, data analysis, predictive models, information governance and training of public servants to turn large volumes of data into strategic information for decision-making.
Artificial intelligence applied to tax collection
The project performs automated analyses of municipal taxes, including property tax (IPTU), waste collection fee (TCR) and service tax (ISS), using predictive models capable of identifying patterns of default, registration inconsistencies and tax recovery opportunities.
The solutions deployed enable:
- Intelligent cross-referencing of tax and territorial data;
- Identification of registration non-conformities;
- Detection of improper exemptions;
- Correlation between properties and urban infrastructure;
- Prediction of default by region and socioeconomic profile;
- Support for tax audits through algorithm-generated evidence.
Artificial intelligence applied to public health
In health, predictive models are deployed to anticipate demand at emergency care units (UPAs).
As a result, the municipal administration can forecast periods of higher demand and plan staff, supplies and medicine stocks in advance.
The analyses consider factors such as:
- Service history;
- Seasonality of diseases;
- Geographic location;
- Medical specialties;
- Patients' risk level;
- ICD classifications.
Data governance and public data protection
The project also includes:
- Mapping and organization of the data used by municipal bodies;
- Information anonymization processes;
- Automated auditing;
- Structuring of data governance practices;
- Training of public servants;
- Alignment of processes with the LGPD.
Intelligent assistants for public managers
As the next step in the project's evolution, the City provides natural language assistants, allowing quick queries on indicators and strategic information through simple commands, without the need for complex reports or specialized technical support.
Results of responsible AI applied to public management
The initiative brings concrete gains to the municipal administration.
Potential revenue identified:
- Identification of approximately R$ 200 million in potentially recoverable revenue;
- Structuring of the foundations for future tax recovery actions;
- Greater precision in prioritizing collection actions.
More efficient health management:
- Ability to forecast demand peaks at health units;
- Better sizing of medical teams;
- Advance planning of stocks and resources;
- Greater operational efficiency in serving the population.
Evidence-based governance:
- Greater analytical capacity for public managers;
- Decisions supported by data and predictive models;
- Greater transparency and traceability of information;
- Compliance with LGPD guidelines.
The project places João Pessoa among the Brazilian municipalities that use artificial intelligence in a practical and responsible way to improve public management.
By integrating technology, data governance and regulatory compliance, the city strengthens its planning capacity, increases the efficiency of public services and builds solid foundations for data-driven administration.
More than automating processes, the initiative turns information into intelligence to support strategic decisions and create value for the population.
Frequently asked questions
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The City of João Pessoa, in partnership with Bravonix, is running an AI-for-government project that combines predictive models, data analysis and information governance in tax collection and public health. In the tax area, the initiative identifies registration inconsistencies, improper exemptions and default patterns in taxes such as IPTU, TCR and ISS, pointing to about R$ 200 million in potentially recoverable revenue. In healthcare, predictive models anticipate demand peaks at emergency care units, allowing better planning of staff and supplies. The project also includes data mapping, anonymization and LGPD compliance, consolidating a data-driven public administration based on responsible AI.