Autonomous customer service
Agents that resolve 80% of inquiries without human intervention. Operate 24/7 with no wait times and escalate to humans only when needed.
05 · AI Agents
Autonomous agents that do the work,
not just describe it.
We develop autonomous AI agents that understand your business context, make intelligent decisions and execute complex tasks end-to-end — without constant human intervention.
About the service
The future of automation is already here
An AI agent is an autonomous system capable of understanding context, making decisions and executing complete sequences of tasks without constant supervision. Unlike traditional programs that follow rigid instructions, an agent reasons about the situation, evaluates options, selects appropriate tools and acts to fulfill a defined objective. Think of it as a specialized digital employee that works 24/7 with instant access to all your company information.
The fundamental difference between an AI agent and a traditional chatbot is the ability to act. A chatbot answers questions — an agent executes tasks. When a customer asks for a quote, a chatbot says "an executive will contact you". An agent, instead, looks up the customer's history in your CRM, identifies relevant products, generates a personalized quote, emails it, creates the sales record and schedules a follow-up — all in seconds, without human intervention.
The AI agent market is growing exponentially. According to Gartner, 30% of companies will implement some type of agent by 2027. Companies adopting agents report 40-60% reductions in response times and 25-35% savings in operational costs.
At Prodix Peru we build custom agents using LangChain, CrewAI, OpenAI and Claude API, along with vector databases like Pinecone for memory and contextual knowledge. Each agent is designed specifically for your company's processes and integrates with your existing systems.
04 · Use cases
Where agents generate the most value.
Agents adapt to almost any process. These are the cases we implement most often.
Sales and prospecting
Qualify leads automatically, send personalized proposals, follow up via email or WhatsApp, and schedule meetings with your sales team.
Operations and logistics
Monitor real-time inventory, generate automatic purchase orders, optimize distribution routes and coordinate with suppliers.
Human resources
Filter CVs analyzing experience and cultural fit. Schedule interviews, automate onboarding and training follow-up.
Finance and accounting
Process invoices with OCR and AI, reconcile accounts, generate financial reports and alert on anomalies or budget deviations.
Marketing and content
Generate SEO content, analyze campaigns, identify opportunities and optimize ad budget. Reports with actionable recommendations.
03 · Comparison
AI agents vs traditional chatbots.
Traditional chatbot
- Answers questions based on predefined scripts
- Linear and limited conversational flow
- No access to external systems or databases
- Requires manual configuration for each scenario
- Can only converse, not execute actions
AI agent
- Understands complex intent and business context
- Executes multi-step workflows autonomously
- Accesses databases, APIs, CRMs and external tools
- Learns and adapts based on results
- Makes autonomous decisions within defined parameters
05 · Implementation
Four steps to a productive agent.
01
Step 01
Process analysis
We map your workflows to identify repetitive tasks, bottlenecks and points where an agent will generate the most impact. Clear KPIs to measure ROI.
02
Step 02
Agent design
We architect the agent defining capabilities, tools, data sources and decision rules. We design prompts, reasoning flows and security mechanisms.
03
Step 03
Systems integration
We connect the agent with your systems: CRM, ERP, databases, email, WhatsApp, APIs. We build custom connectors and configure role-based permissions.
04
Step 04
Monitoring and continuous improvement
We deploy with real-time monitoring dashboards. We analyze interactions, identify errors and optimize performance based on real feedback.
06 · Stack
Agent technology stack
Leading tools in autonomous agent development, LLM orchestration and vector databases.
LangChainCrewAIAutoGenOpenAI APIClaude API (Anthropic)PineconeChromaDBPythonFastAPIRAGVector Databasesn8n
07 · FAQ
The questions everyone asks.
01¿Qué es exactamente un agente de IA?
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¿Qué es exactamente un agente de IA?
Un agente de IA es un sistema autónomo que puede entender instrucciones en lenguaje natural, razonar sobre problemas complejos y ejecutar acciones reales dentro de tus sistemas. A diferencia de un chatbot que solo responde preguntas, un agente puede buscar información en bases de datos, enviar correos, crear registros, generar reportes y coordinar flujos de trabajo completos — todo sin intervención humana. Piénsalo como un asistente digital que no solo contesta preguntas, sino que realmente hace el trabajo.
02¿Cuánto cuesta implementar un agente de IA?
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¿Cuánto cuesta implementar un agente de IA?
Los costos varían según la complejidad. Un agente básico tipo chatbot inteligente con RAG cuesta entre S/ 10,000 y S/ 20,000. Un agente intermedio con acceso a múltiples herramientas e integrado con 2-3 sistemas va de S/ 20,000 a S/ 50,000. Sistemas multi-agente con workflows complejos pueden costar entre S/ 50,000 y S/ 100,000+. Además, hay costos operativos mensuales por APIs de IA que van de $100 a $500/mes dependiendo del volumen de consultas.
03¿Necesito datos propios para implementar un agente de IA?
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¿Necesito datos propios para implementar un agente de IA?
Depende del tipo de agente. Para agentes basados en RAG (que responden preguntas sobre tu negocio), necesitas una base de conocimiento: documentación, manuales, FAQs, políticas, catálogos de productos. No necesita estar perfectamente organizada — podemos procesarla. Para agentes de workflow que ejecutan tareas en tus sistemas, lo que necesitas es acceso a los sistemas (APIs, bases de datos) más que datos de entrenamiento. En ambos casos, podemos empezar con lo que tienes y mejorar iterativamente.
04¿Cómo se integra un agente de IA con mis sistemas actuales?
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¿Cómo se integra un agente de IA con mis sistemas actuales?
Los agentes se integran mediante APIs, conexiones a bases de datos, webhooks y conectores personalizados. Podemos conectarlos con tu ERP, CRM, sistema de tickets, correo electrónico, WhatsApp Business, bases de datos SQL/NoSQL, Google Workspace, Microsoft 365, y prácticamente cualquier sistema que tenga una API o interfaz accesible. Si tu sistema no tiene API, construimos una capa de integración. El agente se convierte en un puente inteligente que conecta y orquesta tus sistemas existentes.
05¿Es seguro darle acceso a un agente de IA a mis sistemas?
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¿Es seguro darle acceso a un agente de IA a mis sistemas?
Sí, siempre que se implemente correctamente. Implementamos permisos granulares (el agente solo accede a lo que tú autorizas), human-in-the-loop para decisiones críticas (aprobación humana antes de acciones irreversibles), audit trail completo (cada acción queda registrada), y encriptación de datos en tránsito y reposo. Además, el agente opera bajo reglas estrictas: no puede hacer nada que no esté explícitamente autorizado. Cumplimos con la Ley de Protección de Datos Personales peruana.
08 · Resources
Keep reading
09 · Let's talk
Ready for AI agents
in your company?
Schedule a free 30-minute consultation. We analyze your processes and show you how an agent can transform your operation.