Services · Governments
For ministries, regulators, oversight bodies, and subnational governments across Latin America. Advisory, method, and training so public decisions can stand up to any scrutiny.
How we work
We understand the decision, the data, the legal frame, and existing capabilities before proposing anything.
Standards and frameworks are built with the institution's teams, not for them.
Every intervention is tested at controlled scope and evaluated against public criteria before scaling.
The result lives on in the institution's rules, processes, and people. Success is when they no longer need us.
Engagement model: fixed-scope, fixed-fee projects for diagnostics and frameworks; annual retainers for stewardship of standards, registries, and analytical units. Public-sector rates, published as ranges in every proposal.
Pillar 1
Governments must adopt AI without eroding public trust or the legality of their acts.
AI governance framework; risk-management guardrails; algorithmic-transparency standards and a public algorithm register; AI procurement standards.
Without well-governed, quality data, neither AI nor evidence works. This is the foundation for everything else.
Data-governance operating model; roles and lifecycle; quality and ethics standards; inter-agency data-collaboration agreements.
Pillar 2
Policies designed without rigorous evidence or foresight of their effects.
Evidence reviews; policy simulation and impact modelling; ex-ante assessments; budget-prioritization analytics. Options with explicit trade-offs — never a single answer without alternatives.
Executive offices drowning in information; slow, noisy decisions.
Executive decision-support design; dossier-summarization workflows; cross-scenario briefings; human-oversight protocols — responsibility always stays with a named person.
Governments cannot show whether their programs and regulations work.
Monitoring-and-evaluation frameworks; impact evaluations; regulatory-impact analysis; performance dashboards with verifiable sources.
Pillar 3
Siloed ministries: duplicated effort, fragmented data, incoherent policy.
Coordination architecture; inter-agency data governance and collaboratives; shared-services blueprints.
Fragmented, slow public services.
Digital-government strategy; service redesign; GovTech maturity assessment; public-innovation lab setup.
Skills and culture gaps block any serious AI adoption.
Executive AI-literacy programs; practitioner diplomas; change management; AI-officer certification.
Independence
Government contracts fund the mission; they do not define its conclusions. Research is governed by a public editorial-independence policy, with a documented firewall between commercial engagements and research findings.
Related research
Write to us with the challenge, not the terms of reference. The first conversation is free.
