AI agents that: serve, qualify, and execute.
The AI agent takes on tasks like responding to customers, checking orders, scheduling meetings, filling out forms, and sending payment reminders. It integrates WhatsApp, CRM, and ERP, automates repetitive processes, and frees your team for work that requires analysis.
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Chat on WhatsApp nowWhere AI agents improve your process
An agent handles the repetitive part of a workflow and passes on what needs human judgment. The four areas where it delivers the most:
Customer service
Answers questions, checks orders, and opens tickets, 24/7.
Sales
Qualifies leads, clarifies product questions, and schedules meetings with sales.
Internal operations
Finds information, fills out records, and runs routines across systems.
Team support
An assistant familiar with internal procedures and documents.
Application examples.
Workflows where an AI agent takes over repetitive tasks.
Product analysis and selection
Compares supplier catalogs, prices, and specs, applies your company’s criteria, and delivers a shortlist with the reasoning for each choice.
Content generation
Creates product descriptions, posts, emails, and technical sheets in your brand’s tone from catalog data, and sends for review before publishing.
Finance assistant
Sends payment reminders, issues invoices and receipts, reconciles payments, and notifies finance about overdue accounts.
Inventory management
Monitors stock levels, alerts about shortages, suggests restocking based on sales history, and answers availability queries.
Order automation
Receives orders via WhatsApp, email, or spreadsheet, checks data and stock, enters them in the ERP, and keeps the customer updated until delivery.
Internal workflow
From service to proposal and contract: gathers information, builds proposals in your company’s format, generates documents, and tracks approvals.
Automated service
Answers questions, checks orders, opens tickets, and transfers to a person when needed.
Document reading
Reads invoices, contracts, resumes, and receipts, extracts data, fills out systems, and flags anything outside the standard.
Instant reports
Queries systems and answers in natural language to questions like "how much did we sell this month by region," with the report ready on request.
After-sales and retention
Runs satisfaction surveys, tracks deliveries, identifies unhappy customers, and alerts the team before cancellations.
Recruitment and HR
Screens candidates, schedules interviews, and answers employee questions about benefits and internal policies.
Any repetitive operation
If a task follows rules, repeats daily, and runs through messages, spreadsheets, or systems, an agent can take it over.
Tell us about yours
From diagnosis to real conversations.
The agent goes live after handling real test cases and passing team validation. From there, it evolves with every conversation.
- 01
Diagnosis
Mapping the services, tasks, and systems the agent will handle.
- 02
Prototype
The agent already handles real requests in a test environment, simulating daily situations before moving to development.
- 03
Development
Integration with systems, building the knowledge base, and defining the agent’s rules.
- 04
Validation
The team tests the agent with real cases, validates responses, and adjusts as needed before release.
- 05
Production
The agent goes live: connected to systems, it starts handling defined tasks and responding to real requests through selected channels.
- 06
Evolution
The agent evolves with conversations: adjustments and improvements are made as new needs or situations arise.
What the project delivers.
- Design of the agent’s workflow and rules
- Integration with WhatsApp, website, email, or internal tools
- Connection to ERP, CRM, company databases, and APIs
- Knowledge base with your company’s content
- Transfer to human support
- Dashboard to track conversations, usage metrics, and real-time costs
- Continuous adjustments after launch
Frequently asked questions
How does an agent work? Is it like ChatGPT?
The agent uses the same type of language model, but works with your company’s information. While ChatGPT answers any topic based on its training, the agent accesses your internal content, connects to systems, and performs tasks according to set rules: opening tickets, checking orders, scheduling meetings, or whatever fits your workflow.
How do I talk to the agent?
Through almost any text channel: WhatsApp, website chat, email, Slack, Teams, or inside an internal system. If the channel receives messages, we can trigger the agent from it.
Does it work on WhatsApp?
Yes, via the official WhatsApp Business API or compatible providers.
Can the agent hallucinate and make up answers?
The risk exists with any language model, and the project is designed to reduce it. The agent responds from the knowledge base and system data, is instructed to say it doesn’t know when information is unavailable, and is tested with real cases before going live.
Can the agent make mistakes?
Like any system. That’s why the scope is limited, conversations are logged, and there are clear rules for transferring to a person.
Which AI model is used?
Whichever offers the best balance of cost and quality for your case: OpenAI, Claude, Gemini, or open models.
What’s the difference between an AI agent, chatbot, and automation?
A chatbot follows a script of questions and answers and gets stuck when the conversation goes off-script. Automation repeats the same steps between systems, without conversation. The AI agent understands requests in natural language, queries systems, and decides what action to take within set limits, which lets it resolve cases instead of just responding.
How much does an AI agent cost?
There are two costs: the project, which depends on how many systems the agent connects to and how many workflows it covers, and the monthly usage of the model, which follows the volume of conversations. Both are detailed in the proposal after the assessment.
How long does it take to launch an agent?
The agent goes live after passing real-world testing and getting approval from your team. The timeline depends on the complexity of the project.
Which task do you need <em>off your team’s plate?</em>
We assess if the agent can take over the workflow and where to start.