A citizen-query help desk, mass document processing, natural-language analysis over your institutional data. This is what an AI agent can do inside a public institution, sovereign and fully audited, with citizen data never leaving your infrastructure.
Start with one workflow that pays for itself, then expand on the same private, governed platform. No new vendor cycle each time.
Answer questions on regulation and procedures (for citizens or for staff) in plain language and citing the source.
Classify and review applications and files against the requirements, then prepare the resolution for the official's signature, with approval and a full audit trail.
NL→SQL over the institution’s data for management and oversight: detect irregularities, prepare reports, all sovereign and fully audited inside your own infrastructure.
These are workflows a Fogoarai AI agent can run inside a public institution. They are illustrative of the capability. The exact workflow, systems and success metric are defined with your team. Fogoarai already has use cases running in production today.
In the public sector, sovereignty and auditability are non-negotiable. Governance is what makes AI deployable at all.
Every action is tied to a real user, gated by policy, approved where it matters, and recorded in an immutable audit trail your security and compliance teams can review.
Agents read your internal archive (documents, manuals, regulations, prior cases) and answer with citations to the source. Private embeddings, served locally inside your network.
Ask your databases in plain language. A fine-tuned local model turns the question into validated SQL. No BI ticket, and no data leaves the network.
Small specialized models handle the repetitive work (classify, extract, validate, summarize) at a fraction of frontier cost, escalating to frontier models only when the task needs it.
Built for data sovereignty and the transparency the Contraloría requires. Nothing leaves your infrastructure, everything is auditable.
Start with a citizen and internal help desk, then expand into document processing and natural-language analytics. All sovereign, all inside your own infrastructure.