INSPIRE: AI in the federal government, from plan to delivery

Apresentação de resultados do Projeto INSPIRE, em maio de 2026

Partners: MGI/SGD · CPQD · FINEP funding

Period: 2026 – present

Role: Executive Project Manager and Institutional Liaison (via Catálise Social)

Area: AI & Government

Context

INSPIRE brings together seven artificial intelligence fronts in Brazil’s federal government: data interoperability, a no-code generative AI platform, the Government AI Hub (NIA), AI cybersecurity, registry data quality, personalized communication and news dissemination (DestaquesGovBr). The challenge is keeping so many deliverables and institutions moving at the same pace.

My role

I coordinate the project’s executive governance: agendas and minutes for the weekly Strategic Committee, tracking of more than 240 deliverables and coordination with MGI, CPQD, Serpro, Dataprev and the Chief of Staff’s Office (Casa Civil). I also led the shift to a product mindset in management, with mapping by technology readiness level (TRL), public value statements and replanning workshops.

Results

  • Strategic decisions unblocked at the Committee
  • AI products launched for the federal government
  • Results presentation event in May 2026
  • Institutional alignment among the project partners

Lessons learned

In AI projects in government, the bottleneck is rarely the technology. It lies in aligning scope and concepts across institutions — and that was the strongest finding from the interviews we conducted with stakeholders.