CODX / 2026—AVAILABLE Q2

Custom AI agents Automate what your team repeats every day

We build custom AI agents for enterprises: conversational agents, voice agents and autonomous agents for HR, finance, procurement and customer service. Built on LangGraph, OpenAI, Anthropic and MCP.

Talk to an expert See AI services

scroll

◆Intro

What exactly is an AI agent and why now?

An AI agent is a system that reasons, plans steps, uses tools (APIs, databases, documents) and executes actions with specific goals. Unlike a classic chatbot, an agent doesn't just respond — it acts. In 2026 agents are viable in production thanks to models like GPT-4/5 from OpenAI, Claude from Anthropic, protocols like MCP (Model Context Protocol) and frameworks like LangGraph. Companies integrating them now save hundreds of hours monthly on repetitive tasks (processing invoices, filtering candidates, answering queries, reconciling payments). Those who wait watch their competitors overtake them. We build custom agents that integrate with your existing stack, respect your compliance requirements and perform in production, not just in demos.

◆For whom

Who benefits most

//01

Pain

Overworked operations teams

→Team spends 40%+ of time on repetitive tasks
→We can't keep up with incoming queries
→Every new hire adds fixed cost without scaling

→ Solution

Agents process simple queries 24/7
Humans only handle complex cases
Linear scaling without proportional fixed cost

//02

Pain

Startups with SaaS products

→Competitors are adding AI and we're losing differentiation
→We want to build our own agent, not depend on ChatGPT
→We don't know how to integrate with our Next.js/Supabase stack

→ Solution

AI agents embedded in your SaaS product
Proprietary architecture (LangGraph + LLMs) you control
Native integration with your existing stack

//03

Pain

Exploratory enterprises

→Multiple AI pilots that never reach production
→Compliance, data privacy and sensitive data concerns
→Hard to justify ROI to the CFO

→ Solution

Start with bounded pilot with measurable ROI
On-premise or private cloud architecture
Clear metrics before, during and after

◆What we do

Conversational agents

Advanced chatbots with context, memory, tool use and human handoff. Integrable in web, WhatsApp, Slack or your product.

Voice agents

Agents that handle phone calls: reception, routing, appointment booking, FAQ resolution. Integrable with your existing phone system.

HR agents

CV screening, candidate response, interview scheduling, onboarding. Integrated with your ATS (Workable, Greenhouse, Lever).

Finance agents

Payment reconciliation, anomaly detection in invoicing, conversational financial analysis over your data.

Procurement agents

Automatic invoice processing, matching against purchase orders, vendor validation, ERP integration.

Customer service agents

Tier-1 24/7 resolving frequent queries, creating tickets, executing backend actions (change address, manage returns).

◆Process

Discovery + use cases (1 week)

Workshop with your team to identify the 2-3 highest-ROI use cases. We don't tackle everything at once.

Proof of concept (2-3 weeks)

Functional PoC with real data, not yet integrated in production. We validate value before investing more.

Production build (6-12 weeks)

Integration with your stack (APIs, databases, internal tools). Testing with real users.

Evaluation + optimization

Quality measurement (fidelity, hallucinations, resolution), cost per interaction and satisfaction. Continuous iteration.

Scale and maintenance

Expand to more use cases based on first success. SLA, monitoring and continuous evolution.

◆Case study

Leonard AI · AI embedded in beauty SaaS

We integrated conversational AI (reminders, customer service, treatment recommendations) into the Leonard AI platform. Today it runs customer communication for a network of centers across Spain and was a key piece of the platform's nationwide expansion.

leonard-ai.com

◆Investment

Agent PoC

Find out what it would cost →

1 bounded use case
Functional PoC 2-3 weeks
Evaluation with real data
Executive presentation
Production roadmap

Production agent

Find out what it would cost →

1-2 use cases
Stack integration
LangGraph + LLM provider
Monitoring and metrics
3 months support

Multi-agent platform

Find out what it would cost →

5+ use cases
Multi-agent orchestration
Admin panel for teams
Enterprise integrations
24/7 enterprise SLA

◆FAQ

Frequently asked questions

Question not here?

Write to us. We respond within 24 hours with an initial technical orientation.

What's the difference between an AI agent and a classic chatbot?+

A chatbot responds using rules or predefined answers. An AI agent reasons, plans steps, uses tools (call APIs, query databases, execute actions) and pursues goals. It can complete full tasks, not just answer questions.

Which model do you use: ChatGPT, Claude, Gemini, proprietary?+

Depends on the case. For high conversational quality: Claude (Anthropic) or GPT-4/5 (OpenAI). For cost-optimized: Gemini, GPT-4-mini or open source via Groq. For sensitive data: on-premise models. We always choose the best technical + economic fit.

How much does it cost to operate an AI agent per month?+

Depends on volume, the model you choose and the complexity of each conversation. Running cost has two parts: LLM usage (billed per token by the provider) and cloud infrastructure. For most customer service use cases the marginal cost per conversation is a small fraction of what a human interaction costs, and it drops further with model choice and caching. Tell us about your case at /contact and within 24h we'll give you an estimate of what it would cost to build and run.

Is it GDPR and sensitive data compliant?+

Yes. We design with compliance from day one: sensitive data stays in your infrastructure, on-premise model option (Ollama, vLLM), complete audit trail of every interaction, end-to-end encryption.

How long until I have an agent in production?+

Functional PoC: 2-3 weeks. Production agent with real integrations: 6-12 weeks depending on complexity. We start with 1-2 specific use cases and expand from there with measured ROI.

◆Explore more

AI for Enterprise · executive view AI integration · service Digitalization and automation

◆Contact

Shall we automate what your team repeats?

30-minute call to identify the AI agent use cases with highest ROI for your business. No commitment.

Explore AI agents