AI agents

Agents that act, not chat

Agents with tools, memory and human oversight for support, ops and back office. Whatever fails failure-evaluation doesn't deploy.

Tools MCP · function callingOversight Human handoffLanguages ES · EN · FR
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In short

A useful agent does three things well: uses real tools (not just answers), remembers business context and knows when to stop and call a person. That's how we build agents for support, ops, engineering and back office.

Evidence in production: the official app of Colombia Tech Week 2026 and the owned-product program at Planet Fitness Mexico.

What we deliver

Agents already in production

Every agent has tools, limits and an owner. None decides alone what it mustn't.

01

Support & care

Answers grounded in your knowledge base with citations, ticket handling and human handoff where needed.

02

Operations

Monitoring, alerts and automated actions on your systems, with an auditable log of every step.

03

Back office

Self-writing documentation, reconciliations, follow-ups and recurring reports.

04

Engineering copilot

Code review, test generation and technical documentation for your team.

How we work

How an agent reaches production

  1. Scope

    A process with volume and clear rules — where an agent genuinely wins. Written and measured.

  2. Tools & limits

    Which APIs and actions the agent may use, which it can't, and how it escalates to a human.

  3. Failure evaluation

    We break it on purpose: hostile prompts, dirty data, dead tools. Bad failures go back to design.

  4. Deploy

    Metrics, logs and a runbook; we review escalations weekly with your team.

Scope and deliverables

What the project delivers

Agent designArchitecture, tools, memory and the human-escalation policy.
IntegrationCRM, helpdesk, ERP or own APIs; identity and permissions by role.
GuardrailsModeration, topic limits and personal-data protection.
MetricsResolved, escalated, handling time and satisfaction, published weekly.
RunbookWhat to do when something fails, with owners.
LanguagesSpanish, English and French.
Proof in production

Agents in production

Planet Fitness MexicoRead more Planet Fitness Mexico

Out with ServiceDesk. Owned software. Fewer licenses.

SaaS-exit program with Planet Fitness Mexico: we replaced ServiceDesk with owned multi-area ticketing, shipped PF Rooms (door tablets + Exchange) across CDMX, and we're building the next product to turn off another vertical license, with no paid seats.

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Frequently asked questions

The questions we hear often

What is an AI agent — and what isn't it?

Not a chatbot with a better prompt: it's software that decides steps, uses tools and delivers measurable outcomes. When unsure, it calls a person.

Do you use MCP and function calling?

Yes, plus custom integrations when the client's system lacks standard APIs.

How do you prevent false answers?

Citation-grounded responses, role-based action limits and failure evaluation before and after deploy.

What do you need to start?

A process with volume, rules and a system to integrate with; discovery then scopes it.

Who supervises the agent?

The client's team, with defined escalations and weekly metrics; we never run blind.

Related capabilities

Where to next

AI

Artificial intelligence

Applied AI for real operations: agents, RAG, vision, voice and automation.

Learn more Chatbots

AI chatbots

Trilingual assistants (ES/EN/FR) connected to private data, CRM and processes.

Learn more Auto

Automation

Repetitive processes, out. Robust flows with traceability, in.

Learn more Software

Custom software

We replace SaaS licenses with owned products your team controls.

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Talk to Slash

Let's put it in production

Tell us your challenge. We reply within 24 hours with an honest first read: if we can help, we'll say how; if not, we'll say who can.

Start a project Direct WhatsApp to Esteban

I reply personally. No endless forms, no canned replies.