AI Agents

AI that doesn't just respond — it acts on its own

AI agents are autonomous systems that execute complex tasks: they research, make decisions, call APIs and take actions without human supervision. Automation at a level chatbots can't reach.

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ILLUSTRATIVE DEMO

An example of what we can build

Illustrative demo with sample data: it is not a ready-made product. We build each system to fit your operation, and the modules, rules and integrations are defined in the discovery phase.

Agente Autónomo de Inteligencia Artificial Corporativa

SQL AGENT + RAG INTERNO + POSTGRESQL

Consultas en lenguaje natural conectadas directamente a tus bases de datos y ERPs con control de accesos

Privacidad 100% On-Premise

SQL Generado en Seguro (Read-Only)42 ms

SELECT c.nombre, SUM(f.saldo) as deuda, MAX(CURRENT_DATE - f.fecha_vto) as dias_mora FROM clientes c JOIN facturas f ON c.id = f.cliente_id WHERE f.saldo > 0 AND f.fecha_vto < CURRENT_DATE - 45 GROUP BY c.id HAVING SUM(f.saldo) > 0 ORDER BY deuda DESC LIMIT 3;

Respuesta del Negocio3 Registros

Distribuidora del Plata S.A.

$1.840.000 ARS62 días de mora

Metalúrgica Lanús SRL

$950.000 ARS51 días de mora

Comercializadora San Martín

$710.000 ARS48 días de mora

💡 Se detectaron 3 clientes con mora superior a 45 días por un monto total de $3.500.000 ARS. Se sugiere disparar recordatorio con link de pago.

Why Deepyze for your AI Agents?

We work with industry best practices to guarantee real results.

Multi-step tasks

An agent doesn't just answer a question — it executes a sequence of actions: search, analyze, generate, send. Complete tasks end-to-end.

Decision making

Agents evaluate conditions, follow business rules and adapt their behavior based on intermediate results.

API calls and integrations

They interact with your internal systems and external APIs. They can query databases, send emails, create records in your CRM.

Human oversight

We configure the agent to request human approval at critical steps. Automation with control — not autonomy without limits.

Memory and context

Agents remember previous interactions and build context over time. They improve with each use.

Fully auditable

Complete log of every action the agent takes. Full traceability for internal audit or regulatory compliance.

How we build your AI Agents

A clear and transparent method so you always know which stage your project is at.

Process and tool mapping

We define what the agent should do, what tools it has access to and what decisions it can make autonomously vs. what requires approval.

Agent architecture design

We design the reasoning flow, available tools and escalation criteria. We prototype the behavior before full integration.

Development and testing

We build the agent with extensive edge case testing. We validate that it behaves correctly in expected and unexpected scenarios.

Controlled deployment

We launch with human oversight for the first weeks. We adjust behavior based on real-world performance and reduce supervision gradually.

How much does it cost?

It depends on the scope: we define it together in a free discovery meeting and send you a fixed-price proposal.

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Frequently asked questions about AI Agents

Everything you need to know before starting

A chatbot responds to questions. An AI agent can proactively execute tasks: search for information, make calls to external systems, take decisions and complete complex multi-step workflows — all autonomously.

It depends on the scope: we define it together in a free discovery meeting and send you a fixed-price proposal.

Yes, with the right architecture. We implement permission scopes, action logs and human approval gates for sensitive actions. The agent only has access to what it needs.

We use GPT-4, Claude and open-source models (Llama, Mistral) depending on requirements. For sensitive data, we can run local models inside your infrastructure.

Yes. Agents can be triggered by events (a new email, a new record in the CRM) and work continuously without human intervention, within the defined scope.

Lead research and enrichment, report generation, invoice processing, competitive monitoring, automatic customer onboarding and internal knowledge base management.

Productos que construimos

No es teoría: es software propio en producción

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Precio cerrado

Cotizamos con alcance y precio cerrados. Sabés cuánto cuesta desde el día uno, sin sorpresas.

El código es 100% tuyo

Al finalizar, el repositorio, la infraestructura y la documentación quedan completamente a tu nombre.

Mismo huso horario

Trabajamos en horario de negocio de Sudamérica. Reuniones y respuestas sin delays por diferencia horaria.

Propuesta en 24-48 h

Después de la primera reunión recibís una propuesta detallada por escrito, sin compromiso ni letra chica.

Damián Oliva

Fundador de Deepyze

Trabajás directo con quien construye. Años desarrollando productos digitales en LATAM, certificado en Google Cloud Machine Learning.

Conocer al fundador