Multi-Agent Systems with Generative AI In Public Innovation Funding Programs: Architecture and Evaluation

Luiz Gustavo Trufilho; Fábio Luís Falchi de Magalhães; João de Paula Ribeiro Neto

doi:10.4067/s0718-2724202600025049

Autores/as

Luiz Gustavo Trufilho Postgraduate Program in Technological Innovation, Universidade Federal de São Paulo , São José dos Campos, Brazil. ORCID 0009-0008-9900-7726
Fábio Luís Falchi de Magalhães Postgraduate Program in Technological Innovation, Universidade Federal de São Paulo , São José dos Campos, Brazil.
João de Paula Ribeiro Neto Postgraduate Program in Administration, Universidade Municipal de São Caetano do Sul , São Caetano do Sul, Brazil.

DOI:

https://doi.org/10.4067/s0718-2724202600025049

Resumen

Los programas públicos de financiamiento a la innovación son instrumentos centrales de la política de innovación en distintas economías, con iniciativas como el Small Business Innovation Research (SBIR) en Estados Unidos, el European Innovation Council en el marco de Horizon Europe y el Programa Centelha en Brasil. Pese a diseños instrumentales robustos, la preparación de propuestas constituye una barrera sistémica para pequeñas y medianas empresas. Este artículo expone el desarrollo y la evaluación empírica exploratoria de un producto técnico-tecnológico en la categoría Software: un sistema multiagente basado en inteligencia artificial generativa, organizado en cinco capas funcionales y quince agentes jerárquicos. La interfaz opera en WhatsApp y la orquestación, mediante la plataforma low-code n8n. La investigación adoptó Design Science Research y el artefacto se evaluó, en un estudio cualitativo exploratorio del caso del Programa Centelha, mediante entrevistas semiestructuradas a diez especialistas realizadas entre febrero y abril de 2026, analizadas con el método de Gioia, Corley y Hamilton. Del análisis emergieron cuatro dimensiones agregadas y cuatro proposiciones de investigación. Los especialistas reportaron adherencia plena al criterio Idea Innovadora, adherencia con reservas en el criterio Proyecto de Negocio por la revisión requerida en las cifras presupuestarias y una evaluación positiva unánime de la usabilidad. La articulación entre sistemas multiagente, grandes modelos de lenguaje y canales de comunicación ubicuos ofrece una vía para ampliar el acceso al financiamiento público de la innovación, con transferibilidad potencial a otros programas y resguardos de revisión humana para mitigar las alucinaciones y los riesgos éticos identificados.

Palabras clave:

financiamiento público a la innovación
inteligencia artificial generativa
sistemas multiagente
investigación en ciencia del diseño
Programa Centelha

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