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AI agents and automation

AI agents and business process automation: connect WhatsApp, your CRM, and documents with the tools your team uses, with human oversight.

What is an AI agent and what can it automate?

An AI agent is a system that understands a request, looks up information, uses your company's tools, and carries out tasks within defined permissions. Unlike a chatbot that only answers, an agent acts: it records, classifies, quotes, or hands the case to a person. We design them with human approval on every important decision.

A robotic arm draws a form of blue light in the air above a platform.

Less repetitive work. More capacity to move forward.

We design the process end to end. We define what an agent can resolve, what a person must approve, and how the tools your company already uses fit together.

We build the journey and the controls first. Then we integrate the agent, the automation, and the traceability needed to understand what it did and why.

We automate the repetitive work and leave judgment, security, and visibility with your team.

Deliverables

  • Redesigned workflow
  • Working agent
  • Controls and metrics

A clear scope from day one

What we need. What we build. How we prove it.

01 · Starting point
A defined workflow, identified tools, and anonymized examples of frequent tasks and exceptions.
02 · Deliverable to agree on
A workflow or agent with agreed integrations, action limits, and human approval points.
03 · How to validate
Test common cases, errors, and escalation to a person. Compare quality, time, and cost against the baseline.
04 · Scope limits
Sensitive decisions are never delegated without authorization. Each new integration is evaluated within scope.

This is a guide to define your project. Scope, acceptance criteria, investment, third-party costs, and ongoing support are agreed on in a specific proposal.

Use cases

Examples of what we solve with this service. Each case is adapted to your process, your tools, and your data.

Before you hire us

What to expect from this service.

Who it is for

Sales, support, finance or operations teams with repetitive tasks, manual handoffs or follow-ups that depend on someone's memory.

What problem it solves

The team copies data between systems, answers the same questions many times and loses requests between departments.

How we work

  1. 01

    Map

    We document the current flow, its exceptions and who approves what.

  2. 02

    Test

    An exploratory first version shows what works, what is conceptual and what still needs validation.

  3. 03

    Build

    We implement agents and integrations with permissions, traceability and error handling.

  4. 04

    Launch

    We test with authorized real cases and train the people who run it.

What we need from your team

  • A process owner available to review
  • Authorized information for setup and testing
  • Access to the systems being integrated
  • A definition of which decisions a person approves

What it usually includes

  • Design of the flow and its exceptions
  • The agreed agents, automations and integrations
  • Action logs and error handling
  • Testing and an operating guide

What it does not include

  • Autonomy over sensitive decisions without approval
  • A guarantee that the model will never make mistakes
  • Later support unless continuity is agreed
  • Vendor and messaging costs

How the work is accepted

  • The agreed test cases end as defined
  • Exceptions reach a person
  • Every action is logged and can be reviewed
  • The team can run the system with its guide

What stays in human hands

  • Approving sensitive decisions
  • Reviewing the cases the agent cannot resolve
  • Keeping company information up to date
  • Deciding when to expand autonomy

How it is contracted

It is contracted per solution, with an agreed objective, deliverables, milestones and acceptance criteria. Each stage can be contracted on its own if it meets the objective.

Implementation, continuity and external costs

Implementation is agreed once. Continuity is a separate, optional monthly agreement. Vendor costs, such as AI models, hosting or licenses, are identified separately and we agree who contracts and controls them.

This is a general guide. The scope, exclusions, investment and schedule of your project are agreed in writing in each proposal.

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Frequently asked questions

What is the difference between a chatbot and an AI agent?

A chatbot talks and answers. An agent also uses tools: it queries systems, records data, and runs steps in a process. That is why an agent needs permissions, limits, and a log of what it does.

Which tools can an agent connect to?

WhatsApp, email, CRM, spreadsheets, ERP, billing systems, and databases, among others. First we review what your company uses and how each tool allows integration.

Can an AI agent make mistakes?

Yes, like any system. That is why we define what it can do on its own, what needs approval, and how it hands the case to a person. We test common cases and exceptions before going live.

What happens to my customers' data?

It is used only for the agreed purpose, with limited access and declared providers. Accounts stay in your company's name, and processing follows Ecuador's Organic Law on Personal Data Protection.

How much does it cost to keep an agent running?

There are two parts: the monthly support fee and third-party usage costs, such as AI models and messaging, which depend on volume. The proposal separates them so you know what you pay and to whom.

Your idea deserves a first version

Tell us what you imagine. We start by understanding your challenge and exploring how to make it possible.

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