AI agent development for businesses that need agents to do the work.
We build AI agents that understand a request over WhatsApp, voice, or email, query your systems, and complete the task end to end. And that know exactly when to hand the case to a person.
What it is
What is an AI agent?
An AI agent is a system that understands a request in natural language, decides which steps are needed to resolve it, and carries them out in the company's systems: it checks a calendar, creates an order, records a payment. Unlike a chatbot, it does not stop at answering. It finishes the job.
In a business, an agent takes over work a person does today by reading messages and copying data between screens: taking orders, booking appointments, answering where a shipment is, verifying a payment receipt. It works around the clock, with the business rules written down in advance and a clear line around what it must never do.
The practical difference
Chatbot vs. AI assistant vs. AI agent
From the outside, all three look the same: a window where someone types. The difference is what happens after the message.
| Chatbot | AI assistant | AI agent | |
|---|---|---|---|
| What it does | Replies with fixed scripts. | Answers and suggests using company information. | Understands, decides, and completes the task. |
| What it understands | Menu options and keywords. | Questions in natural language. | Text, voice notes, images, and documents. |
| Your systems | Does not touch them. | Reads from them. | Reads from them and writes to them. |
| Best for | Simple FAQs that never change. | A team that needs to find information fast. | End-to-end tasks a person handles today. |
Use cases
What AI agents for business can do
The use cases that pay off fastest combine a customer channel with a system where something has to be recorded.
Customer service and sales on WhatsApp
Answers questions, quotes with your rules, takes orders, and books appointments in the channel your customers already use, with text, voice notes, and photos.
AI voice agents
Handle inbound calls, confirm appointments, or place reminders, with the same logic and the same limits as the written agent.
Document and receipt reading
Read invoices, delivery notes, and payment receipts sent as a photo or PDF, and validate the data before loading it.
Document processingTasks inside your ERP or CRM
Create orders, update customers, record payments, and check stock in the systems you already use, with narrowly scoped permissions.
IntegrationsFollow-ups and reminders
Reach out on their own: a delayed shipment, an appointment to confirm, an overdue payment. Nobody has to remember.
Internal agents for your team
Answer with your company's information (procedures, terms, a customer's history) and draft responses a person reviews.
An agent in production
How an AI agent works in production: M.I.C.A
M.I.C.A is the agent we built with Integrando Salud for clinics and medical practices. It serves patients on WhatsApp 24/7 and writes directly into each center's management system.
A message comes in
The patient types, sends a voice note, or sends a photo. The agent understands all three.
It works out what they need
It identifies whether it is an appointment, a question, or a paperwork request, and routes to the right specialty based on what the patient describes.
It checks the system
It looks up real availability in the center's calendar and registers the patient if they are new.
It verifies payment
When the appointment requires prepayment, it reads the receipt the patient sends, from any bank or digital wallet, and reconciles it.
It closes the task
It books the slot in the system and confirms it in the same conversation.
It hands off what is not its job
Medical emergencies, requests to talk to a person, complaints, or complex billing issues go to the team, with the full conversation attached.
Limits and handoff
What the agent does when it is unsure
It is the question that matters most and the one almost nobody answers. An agent that improvises is a risk; one that knows where its job ends is a tool. That is why it is designed before it is built, not after.
Limits written down in advance. Topics that are never its job. In healthcare, for example, the agent never gives medical advice, under any circumstance.
Handoff with context. When it passes a case to a person, it passes the conversation and the data already collected. Nobody has to ask again.
It asks instead of guessing. If a detail is missing or the request is ambiguous, it asks. If it is still unsure, it hands off.
Every decision is logged. What it understood, what it checked, what it did, and why it handed off. Any conversation can be audited.
Regular reviews. Handoff reasons are reviewed with your team to tune the rules and shrink what it cannot yet resolve alone.
Integration and data
Integration with your systems, data, and security
A useful agent has to touch your systems. We do that with the same rules you would give a new hire.
Least privilege. The agent accesses only what its task requires, through its own traceable user.
It uses the official paths. The system's API when there is one, and documented alternatives when there is not.
Your data stays in your cloud. The solution runs on Google Cloud, AWS, or Azure, in an account your company owns.
If a system is down, it does not make things up. It tells the customer the task will take longer and passes the case to a person.
The model is chosen per use case. We do not lock the solution to a single AI provider: we pick the model that best handles the task at the cost and privacy level it requires.
How it is measured
How to measure whether an AI agent works
An agent in production is measured like any other role in operations. These are the metrics we agree on with each client before launch.
Resolution without a person: the share of conversations that complete the task end to end.
Handoffs and reasons: how many go to the team and why, so you know what to tune.
Response time: how long it takes to reply and to complete the task.
Errors found in review: cases where it misunderstood or recorded something wrong.
Tasks recorded in the system: appointments, orders, or payments that actually landed in your system.
How we work
Our AI agent development process
Five phases, each ending with a deliverable and a decision on your side before moving on.
Assessment
Free. We pick one concrete task and tell you whether an agent is the best way to handle it or something else fits better.
Architecture
We define what it resolves, what it does not, which systems it talks to, when it hands off, and how it is measured. In writing, before we build.
Validation
The agent works on real cases while your team watches. We tune the rules until it responds the way your best person would.
Deployment
It goes live on the real channel with monitoring, full conversation logs, and the handoff protocol active.
Evolution
We review handoffs and add new tasks on the same foundation.
FAQ
Frequently asked questions
What is an AI agent?
It is a system that understands a request in natural language, decides which steps are needed, and carries them out in the company's systems. It does not just answer: it completes the task, and hands off to a person whatever falls outside its scope.
What can AI agents do for a business?
They take over operational work a person does today: taking orders, booking appointments, answering where a shipment is, verifying receipts, or entering data into the ERP. They follow the business rules and have a clear line around what they must never do.
How is an AI agent different from a chatbot?
A chatbot replies with fixed scripts. An AI assistant answers in natural language using company information. An AI agent also acts: it reads from and writes to your systems to complete the task.
Can you build a WhatsApp AI agent?
Yes. The agent runs on the official WhatsApp Business API, understands text, voice notes, and images, and can hand the conversation to a person on your team without the customer switching chats.
Do you build AI voice agents?
Yes. A voice agent answers or places calls with the same logic as the written one: it understands the request, checks your systems, and hands off when it should. It fits reminders, confirmations, and common phone inquiries.
What happens when the agent is unsure?
It asks when a detail is missing, and if it is still unsure, it hands off to a person with the conversation and the data already collected. Topics that are never its job are written down before it is built.
Do we have to replace our current systems?
No. The agent connects to your ERP, CRM, calendar, or in-house system and works on top of them. If a system cannot be integrated, you will know during the architecture phase.
What data does the agent see, and where does it live?
Only what its task requires, through its own user with least-privilege permissions. The solution runs in a cloud account your company owns, and every conversation is logged for audit.
What are the types of AI agents?
The classic taxonomy distinguishes simple reflex, model-based, goal-based, utility-based, and learning agents, and today multi-agent systems are added to the list. For a business, the practical question is different: whether the agent only answers, or also completes tasks in your systems.
Will an AI agent replace my team?
It replaces the repetitive part of the work: reading, copying, confirming, reminding. Exceptions, complaints, and decisions stay with your team, who get to each case with the context already assembled.
Related guides
Go deeper on the topic
What Is an AI Agent? Types, Examples, and How It Differs From a Chatbot
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Other services
What else we build
Intelligent document processing
Invoices, receipts, and contracts that read and file themselves.
See the serviceAI automation and systems integration
Business process automation with AI, and systems that finally talk to each other.
See the serviceData engineering and analytics
From scattered data to decisions you can defend.
See the serviceCustom software development
Custom software development for companies that have outgrown off-the-shelf tools.
See the serviceAI consulting
AI consulting that ends in production, not in a slide deck.
See the service
Which task would you hand to an agent today?
Tell us what it is, and we will tell you whether an agent is the right way to handle it, which systems it would touch, and where it should hand off.