AI applied to real business problems.
The question isn’t where to use AI. It’s where it’s actually worth using.
Not every task needs artificial intelligence.
Before implementing anything, we look at the problem, the available information, the expected impact, and whether there is a simpler way to solve it.
What can we build?
Internal AI assistants
Solutions that let teams access company information, documents, procedures, and knowledge using natural language.
Para solicitar un reintegro de gastos de viaje, debe:
- Completar el formulario de solicitud.
- Adjuntar los comprobantes respectivos.
- Enviar la solicitud para aprobación.
Intelligent automation
Processes that combine rules, systems, and AI models to interpret information and carry out tasks.
Entrada
Documentos, datos,
correos, formularios
Clasificación
IA interpreta y
categoriza
Decisión
Reglas y modelos
evalúan
Acción
Se ejecuta la tarea
o se notifica
AI for sales and customer service teams
Tools that help teams respond faster, prepare proposals, summarize interactions, and prioritize opportunities.
Oportunidad
ACME S.A. InteraccionesResumen de la conversación
El cliente busca mejorar los tiempos de respuesta en su proceso de soporte y automatizar reportes.
Prioriza una solución que se integre con su CRM y que sea escalable.
Próxima acción sugerida
Agendar demo técnica enfocada en integración con CRM y casos de soporte.
Respuesta sugerida
Gracias por su tiempo. Como próximos pasos, podríamos agendar una demo técnica para mostrar cómo podemos integración con sistemas comerciales y acelerar los tiempos de respuesta de su equipo.
Analysis and decision support
AI applied to large volumes of information to identify patterns, accelerate analysis, and support better decision-making.
Pregunta
Respuesta sintetizada
La caída del margen se explica principalmente por el aumento de costos de insumos (-6.2 pp) y la menor eficiencia logística (-2.1 pp), parcialmente compensados por mejoras de precio (+1.3 pp).
Impacto en margen bruto (pp)
From an opportunity to a practical solution.
We start with the problem and its potential value.
Then we assess the available data, risks, feasibility, and technology.
When it makes sense, we build a focused proof of concept before moving toward an integrated solution.
AI doesn’t work in isolation.
To create value, AI usually needs to connect with processes, data, systems, and people.
That’s why we don’t treat artificial intelligence as a standalone layer, but as part of a broader solution.
When can we help?
We want to understand where AI can create value.
The business sees opportunities, but needs help identifying and prioritizing the right use cases.
We have a process that could benefit from AI.
There is a specific task, workflow, or decision we want to improve.
We’ve already experimented with AI, but need to bring it into operations.
There are pilots or standalone tools in place, but not yet an integrated, reliable solution.
Is there a problem in your business that AI could solve better?
We can help assess the opportunity, test a solution, and turn it into a practical application.