Piauí's state government uses AI to triage citizen budget proposals in its OPA digital participatory budget, cutting proposal-analysis time by 40% and saving R$1.75m in the 2025–2026 cycle, which drew a record 273,890 votes across five municipalities.
40%
Reduction in proposal-analysis time (2025-2026 edition)
participatory budgeting, citizen engagement, public finance, AI
Context
OPA (Orcamento Participativo Amigo) is a recurring state-level participatory budgeting programme run by the Government of Piaui, Brazil, through SEPLAN and the State Secretariat for Artificial Intelligence (SIA), created in 2023, letting residents of five municipalities - Teresina, Parnaiba, Picos, Piripiri and Floriano - submit and vote on state-budget investment proposals.
Objectives
Use AI to speed up and improve the technical, budgetary and documentary screening of raw citizen submissions into a viable shortlist for public vote.
Activities
For the 2025-2026 edition, technology partner Colab introduced AI into the proposal-screening stage. The cycle drew 273,890 valid votes from 1,311 proposals submitted by 564 community entities, of which 849 were validated as viable and 128 were funded.
Results
Colab reports the AI screening reduced proposal-analysis time by 40% and produced R$1.75 million in direct cost savings, while the voting platform maintained 99.98% availability during peak turnout. Since OPA's creation, more than R$211 million has been allocated to citizen-selected projects across all editions.
Conclusions
The exact AI methodology used in proposal screening has not been published in technical detail, so its precision and error rate cannot be independently verified beyond the vendor's own figures.
Implementation
Indicative cost
Medium (€50k–€500k)
Time to results
Medium (1–3 years)
Staffing & skills
State Planning Secretariat (SEPLAN), State Secretariat for Artificial Intelligence (SIA), Colab (technology vendor)
Conditions for success
Existing state-level participatory budgeting infrastructure since 2023 before AI screening was added
A dedicated state AI secretariat and technology-vendor partnership
Sustained multi-year citizen participation to justify continued investment
Common failure modes
AI screening methodology and error rate not published in technical detail, so precision cannot be independently verified beyond the vendor's own figures
Do you run this practice?
Claim it —
verified implementers get a public contact pathway and can propose corrections.
Data sources
Where this practice's information was retrieved from, and when.
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