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.
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 + POSTGRESQLConsultas en lenguaje natural conectadas directamente a tus bases de datos y ERPs con control de accesos
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;
💡 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.
Benefits
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.
Process
How we build your AI Agents
A clear and transparent method so you always know which stage your project is at.
- 1
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.
- 2
Agent architecture design
We design the reasoning flow, available tools and escalation criteria. We prototype the behavior before full integration.
- 3
Development and testing
We build the agent with extensive edge case testing. We validate that it behaves correctly in expected and unexpected scenarios.
- 4
Controlled deployment
We launch with human oversight for the first weeks. We adjust behavior based on real-world performance and reduce supervision gradually.
Pricing
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.
FAQ
Frequently asked questions about AI Agents
What's the difference between a chatbot and an AI agent?
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.
How much does an AI agent cost?
It depends on the scope: we define it together in a free discovery meeting and send you a fixed-price proposal.
Is it safe to give an AI agent access to our systems?
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.
What AI models do you use?
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.
Can agents work 24/7 automatically?
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.
What use cases are most common?
Lead research and enrichment, report generation, invoice processing, competitive monitoring, automatic customer onboarding and internal knowledge base management.
Products we built
Our own software, running in production
- Fixed price
- We quote with closed scope and price. You know what it costs from day one, no surprises.
- The code is 100% yours
- When we finish, the repository, the infrastructure and the documentation are entirely in your name.
- Same time zone
- We work South American business hours. Meetings and answers with no time-zone delays.
- Proposal in 24-48 h
- After the first meeting you get a detailed written proposal, with no commitment and no fine print.
Damián Oliva
Founder of Deepyze
You work directly with the person who builds. Years building digital products in LATAM, Google Cloud Machine Learning certified.
Meet the founderReady to start your AI Agents project?
Tell us your idea and we'll prepare a no-commitment proposal in 24 hours.