Brazil's CGU launched Informa.BR on 30 June 2026: citizens type a plain-language information request and AI matches it against the Transparency Portal, the Open Data Portal and past freedom-of-information replies, with a one-click path to file a new request if nothing turns up.
Details
Maturity
Pilot
Promoter
Controladoria-Geral da União (CGU)
Period
Launched 30 June 2026
Keywords
open data, transparency, access to information, e-government
Context
Brazil's federal comptroller general (CGU) launched Informa.BR on 30 June 2026 to help citizens find public information scattered across many government websites.
Objectives
The platform aims to let citizens describe their request in plain language and be matched automatically to existing public data and past freedom-of-information replies, rather than manually searching each government portal.
Activities
Informa.BR uses AI to search the Transparency Portal, the Open Data Portal, federal agency websites and the archive of prior access-to-information replies, returning a results summary with direct links; if nothing is found, users can file a new formal information request on the same page. Federal agencies must route their access-to-information links to Informa.BR, while the ombudsman channel Fala.BR continues to handle complaints separately, with full migration to be phased in over time.
Conclusions
As a service barely a month old, Informa.BR's launch, scope and mandated roll-out are well documented, but no usage, accuracy or satisfaction data has yet been published, so its real-world effectiveness remains unproven.
Implementation
Indicative cost
Medium (€50k–€500k)
Time to results
Medium (1–3 years)
Staffing & skills
Controladoria-Geral da União (CGU) as lead agency, Federal agencies required to link their access-to-information pages to the platform
Conditions for success
Mandatory agency-wide linking from statutory access-to-information pages
Integration across multiple existing data sources (Transparency Portal, Open Data Portal, FOI-reply archive)
Fallback path letting users file a new formal request when the AI search finds nothing
Common failure modes
No usage or accuracy data has been published yet, so effectiveness is unverified
Gradual, non-uniform agency migration could create an inconsistent citizen experience during rollout
Where it fits
Governance type
national government agency
Scale
national
Commonly funded by
National / regional programmes
Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.
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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