Initiative · Multi-country · 2017 — ongoing

ConsiliumBots

Using data and technology to help people make important decisions

A non-profit using data and technology to help people make important decisions — chatbots, smart matching platforms, and personalized guidance across education, housing, and benefits. 36 tools, 6M+ people, 7 countries.

New York · Santiago

Digital guidance, built for real policy environments

I co-founded ConsiliumBots with Felipe Saint-Jean. ConsiliumBots is a non-profit that partners with governments and researchers to design, build, and evaluate digital guidance tools — chatbots, smart matching platforms, search interfaces, and personalized communication — that help people navigate high-stakes decisions in education, housing, and access to public benefits.

To date the team has shipped 36 tools reaching 6M+ people across 7 countries (Chile, Colombia, Ecuador, Peru, Brazil, the Dominican Republic, and the United States), working directly with national ministries of education, central banks, the Inter-American Development Bank, and U.S. school districts.

What we build

  • AI-powered chatbots that reduce information frictions in admissions and benefit-take-up
  • Smart matching platforms for school choice and teacher assignment (CCAS)
  • Personalized feedback for students and teachers based on assessment results
  • Coordinated choice and assignment systems used by ministries at national scale
  • Field-experiment infrastructure so every product can be evaluated rigorously

Selected programs

  • Decidiendo Para un Futuro Mejor (DFM) — information interventions for college and major choice
  • Smart Matching Platforms — teacher assignment optimization in Ecuador and Peru
  • Subsidy Project — increasing take-up of education and family benefits
  • Feedback for Teachers / Students — closing the loop between assessment and classroom practice

Current AI and platform projects

Recent work extends the same model into AI-assisted public-service tools: start with real administrative bottlenecks, build practical products with partner organizations, and keep each deployment ready for measurement.

CienPiés website branding Chile · Active
CienPiés

A mobile-first platform for safe, supervised "walking school buses": families near one another are grouped into optimized walking routes, guardians rotate supervision, and schools can plan routes and track participation.

Visit ciempies.ai
Mi Abogado AI website branding Chile · Active
Mi Abogado AI

A scoping study with Programa Mi Abogado and NAD on AI-assisted case-management tools for child-protection legal teams, designed to reduce administrative burden while augmenting professional judgment.

Visit mi-abogado.ai
Tiempo para Liderar con IA website branding Chile · Proposed RCT
Tiempo para Liderar con IA

A proposed field experiment testing whether training and light coaching can help school principals use AI responsibly, reduce administrative load, and recover time for instructional leadership.

Visit directores.ai
CCAS Global Review website branding Global · Research platform
CCAS Global Review

A living data platform documenting coordinated school and university assignment systems across 149 countries and 600+ cities, with evidence-based design lessons for more equitable admissions.

Visit ccas.wiki
LUCI childcare access mapping card Latin America · Active
LUCI

The Latin American Urban Childcare Initiative maps childcare access across Santiago, Bogotá, and Santo Domingo, combining geospatial data, field validation, and AI-assisted verification for policy teams and families.

Read the LUCI project page

A flagship application is the Colombia higher-education guidance work: nationwide, at-scale experiments embedded in the ICFES results portal tested which information interventions actually change information-seeking behavior, and what does (and does not) transport when you scale.

The broader goal is simple: combine user-centered product design with rigorous measurement so that public information systems can both deliver better guidance and learn quickly which designs are worth scaling.

Visit ConsiliumBots ConsiliumBots on GitHub Related work: adaptive experimentation at scale ↗