AI agents for businesses, custom-built for your operation
Solvo is a Uruguayan company that designs and builds AI agents for companies in Uruguay and LatAm, adapted to each business's real workflow, internal systems, permissions, data and logic. Customer support is an important case, but not the only one: we also build internal agents to query information, agents connected to ERP and CRM, and agents for WhatsApp, voice, audio, text and images. We don't sell a generic platform or a configurable self-service bot.
See if it applies to my companyMore than 20 developments in production across AI agents, automations and enterprise integrations, in sectors such as healthcare, hospitality, professional services, optical retail, marketing, finance and commercial operations.
When it makes sense
What kind of companies it makes sense for
A custom agent isn't for every case. It usually makes sense when the operation grows faster than the team, when there are repetitive tasks, or when you need more order, consistency and access to information.
Custom vs. generic
What sets a custom agent apart from a generic platform
The difference isn't the interface, but how much the agent understands about your business, what data it works with, and what it can actually do within your operation.
Understands the business context
It knows what the company does, how it works and the goal of each interaction.
Uses your own knowledge base
It responds with your company's real information, not generic answers from a closed platform.
Follows agreed rules and handoffs
It routes to a person, filters or escalates according to the logic we define with your team.
Integrates with your systems
It connects with CRM, ERP, databases and internal tools to query and record information.
Respects permissions and traceability
It works with roles, permissions and defined scope over the data, and keeps a record of what it queries or executes.
Is tested with real scenarios
Before going live it's tested with real cases and conversations from your operation.
Adapts to your tone and process
It speaks in your company's style and respects how your process works.
Adds features to fit the workflow
Voice, audio, text, images, system queries, validations, internal actions and handoffs, based on what the workflow needs.
Types of agents
Examples of AI agents for businesses
Every agent is designed around the case. These are some of the types we build, and they're often combined into a single solution.
Customer support
Agents over WhatsApp, voice, audio or text that inform, assist, organize conversations and hand off when needed.
Internal data querying
Internal agents to ask about business information in natural language, with defined permissions and scope.
Connected to ERP and CRM
Agents integrated with ERP, CRM, databases or spreadsheets to query, record and trigger actions.
WhatsApp and voice
Agents for support or sales over WhatsApp and voice agents for incoming or outgoing calls.
Anomaly detection
Agents that help identify unexpected behavior in data or operations, when the case justifies it.
Demand prediction
Agents with advanced analytics to support demand estimation and decision-making, with available data and agreed scope.
Call and conversation analysis
Agents that analyze calls or conversations to give more control, order and visibility, without manual reviews.
Vertical: hospitality
AI agents for hotels
In hospitality, we build customer service agents able to answer questions, assist reservations, filter requests, hand off to the team when appropriate and connect with the booking engine the hotel already uses.
We design agents for hotels over WhatsApp, web or voice, connected to internal tools and the existing booking engine, respecting permissions and defined scope.
Our approach
We don't sell a generic platform
We don't sell a generic platform or a configurable self-service bot. We design and build custom agents, adapted to the way each company actually works: its systems, its data, its permissions and its logic.
Each implementation is designed according to how they work today, what information and integrations they have, and what that agent should achieve within the operation, with the agreed scope and permissions.
WhatsApp and voice: two common examples within a broader approach
Support over WhatsApp and voice are two of the most requested cases, but they're part of a broader umbrella of AI agents for businesses. We design each solution around the channel, process, systems and real objective of each company.
WhatsApp Agents
Designed for companies that need to respond better, organize conversations, assist commercial or support processes, and scale service within a channel that's already part of their customers' daily lives.
Voice Agents
Designed for companies that need to answer calls, guide conversations, assist phone processes, or build a more agile, consistent voice experience well integrated into operations.
WhatsApp Agents
We design WhatsApp agents that adapt to the company's real logic and the specific goal of each conversation. It's not just about answering messages: it's about organizing service, assisting better, and accompanying real business processes within a channel many companies already use every day.
Technology adapts to the business, not the other way around.
What they can do
Voice Agents
We create voice agents designed to answer calls, guide conversations, and fulfill a real function within operations. We don't seek a robot voice reading responses, but a conversational experience designed to sound natural, follow useful logic, and respond to business context.
A well-implemented voice agent doesn't just depend on how it sounds, but on everything it knows, understands, and can do behind each interaction.
What they can do
What matters isn't just the channel. It's everything behind it.
A well-implemented agent needs more than a nice interface or pleasant voice. You need to define what it knows, how it responds, what it can do, what information it works with, when it routes, how it validates, and what objective it must fulfill in each interaction.
That's why each agent is designed as a real operational solution, not a nice demo.
What changes for the company
When an agent is well designed, the company doesn't just respond faster. It also gains order, consistency, and the ability to serve better without depending on adding the same human load for each interaction.
Agents already working in real operations
See how La Casa del Multifocal automated WhatsApp support and how Cziber queries data via WhatsApp and ERP with AI.
Frequently asked questions
Frequently asked questions about AI agents
What kind of AI agents does Solvo build?
+
Solvo is a Uruguayan company that builds custom AI agents for companies in Uruguay and LatAm. This includes customer support agents, internal agents to query business data, agents connected to ERP and CRM, agents for WhatsApp, voice, audio and text, and agents that run internal logic, handoffs or validations. Customer support is an important case, but not the only one.
Do you build internal agents to query business information?
+
Yes. We develop internal agents that let you ask about business information in natural language, connected to your systems and data. We always define permissions, roles, scope and traceability so each person only accesses what they should.
How do you handle security, permissions and internal data?
+
Everything involving internal data, ERP, CRM, prediction or business queries is designed with permissions, roles, defined scope and traceability. The agent only works on the information and actions agreed with the company, and keeps a record of what it queries or executes.
Do they integrate with CRM, ERP or databases?
+
Yes. We design agents to connect with CRM, ERP, databases, spreadsheets and internal tools so they can query up-to-date information, record data and trigger actions within your operation, always within a defined scope.
How is it different from a generic chatbot platform?
+
We don't sell a generic platform or a configurable self-service bot. We design and build custom agents: they understand the business context, use your knowledge base, follow the rules and handoffs we agree on, integrate with your systems with defined permissions and are tested with real scenarios.
Do you also build WhatsApp and voice agents?
+
Yes. We develop WhatsApp agents for support or sales and voice agents for incoming or outgoing calls: they guide conversations, filter and route, follow business rules and record information or trigger actions based on what happens.
Do you do anomaly detection or demand prediction?
+
When the case justifies it, yes. We build agents with advanced analytics to support anomaly detection or demand prediction, working with the available data and the agreed scope and permissions. We always assess first whether it adds real value.
Do you build AI agents for hotels?
+
Yes. In hospitality we build customer service agents over WhatsApp, web or voice that answer questions, assist reservations, filter requests and hand off to the team when appropriate. They connect with the booking engine the hotel already uses and with its internal tools, respecting permissions and defined scope.
If your service today depends too much on the team, there's probably a better way to structure it
Tell us how you serve today and let's see if it makes sense to design a WhatsApp agent, voice agent, or both, adapted to your company's reality.