Custom AI agents for your business.

Servbases builds AI agents for lead qualification, booking, support and internal workflows for businesses in the United States and Mexico. Digital workers built for a specific job: they use approved business knowledge and connected tools, with permissions, approvals and human handoff defined by you.

A useful way to think about it

An AI agent is like a digital worker assigned to a defined role. It receives a task, checks the information available to it, chooses an allowed next step, uses connected tools, and reports what happened.


Clear job. Right tools. Defined limits.

Like a new employee, an agent needs clear responsibilities, access to the right information, permission to use specific tools, and rules for when to ask for help.

A lead agent might review an inquiry, identify what the person needs, ask follow-up questions, update the CRM, and schedule a call. If the request falls outside its instructions, it sends the case to a person.

Unlike a person, an AI agent does not have lived experience, awareness, or independent common sense. It works from its instructions, available context, connected systems, and the limits you set.

Agent types
01

Lead & booking agents

Qualify inbound leads, check availability, and book directly into your calendar or booking system — no manual back-and-forth.

02

Support agents

Resolve common requests end-to-end — order status, rescheduling, policy questions — and escalate cleanly when needed.

03

Operations agents

Pull data, update records, and trigger workflows across your CRM, dashboards, and internal tools.

04

Internal agents

Help staff find approved information, prepare work, and handle repetitive administrative tasks.

Not just another chatbot

Three technologies. Three different levels of capability.

Chatbot

Answers

Responds to questions from a fixed script, knowledge base, or conversation.

Automation

Follows a trigger

Runs a predetermined workflow when a specific event or condition occurs.

Can an AI agent think?

An agent can perform a practical form of reasoning: break a goal into steps, compare available options, identify missing information, choose an allowed action, and evaluate the result before continuing.

This is not human thought or awareness. The agent uses a language model, instructions, context, and software tools to determine the next step — and it can still be wrong.

  1. 01
    Understand the request

    Identify the goal, important details, and missing information.

  2. 02
    Check approved context

    Use business rules, knowledge, records, and conversation history.

  3. 03
    Choose an allowed action

    Select the next step from the tools and permissions available.

  4. 04
    Act and verify

    Use the connected system, then check whether the action succeeded.

  5. 05
    Continue or escalate

    Move to the next step, request approval, or hand the case to a person.

Useful because they can work across your systems.

An agent becomes operational when it can securely read from and write to the tools your team already uses.

CRM and lead pipelines
Calendars and booking tools
Email, SMS, and WhatsApp
Internal documents and SOPs
Payments and account records
Dashboards and internal apps
Customer support systems
Approval and handoff queues
Human-controlled by design

Autonomous where it is safe. Supervised where it matters.

01

Scoped permissions

The agent only sees the data and tools required for its role.

02

Approval gates

Sensitive actions wait for a designated person before execution.

03

Human handoff

Unclear, exceptional, or high-risk requests move to your team with context attached.

04

Traceable work

Actions and outcomes can be logged so your team can review what happened.

AI + WhatsApp

Your AI assistant.
On WhatsApp.

Our own AI product for appointment-based businesses. CitaOS answers questions and helps clients book through WhatsApp, with your schedule and team behind every conversation.

Explore CitaOS
Real CitaOS calendar in Spanish with appointments by team member and sample data
The workspace behind the assistant. Real Spanish interface, sample data.
Knows your business
Answers using your configured services, prices and hours.
Works with your calendar
Checks availability to help book, reschedule or cancel.
Your team stays in control
Manage the day from your dashboard and take over when needed.

WhatsApp and reminders are configured and enabled during business setup.

Start with one valuable job.

The best first agent is not a general-purpose digital employee. It is a focused system for one repetitive, measurable process.

  1. 01
    Map the job

    Define the task, expected outcome, edge cases, and current human workflow.

  2. 02
    Set the boundaries

    Choose data access, allowed actions, approval points, and escalation rules.

  3. 03
    Connect and test

    Integrate the tools, test realistic scenarios, and verify failure paths.

  4. 04
    Launch and improve

    Review real outcomes, refine instructions, and expand only when the workflow is reliable.

A clear brief before the first build.

We define the job, approved information sources, connected tools and acceptance tests before development. A lead qualification agent needs clear fit criteria; a support agent needs current policies; a booking agent needs reliable availability and permission to change appointments.

The proposal separates development and integration from model usage, messaging or channel fees, hosting and ongoing monitoring. We confirm supported channels and language requirements before committing to a launch schedule.

If your workflow only needs fixed rules, business workflow automation may be simpler than an agent. If you need a public site first, start with website design for your service business.

AI agent questions.

Does an AI agent replace an employee?

Usually, it replaces parts of a workflow rather than an entire role. The goal is to remove repetitive work, shorten response times, and give people more room for judgment-heavy tasks.

Can it use our existing tools?

Often, yes. We evaluate each platform's API, permissions, and reliability before deciding how the agent should connect.

What happens when it does not know what to do?

We define fallback behavior in advance. The agent can ask a clarifying question, request approval, stop safely, or hand the case to a person.

How much access does it receive?

Only the access required for its specific role. Permissions should be narrow, explicit, and separated from sensitive actions whenever possible.

Where should we start?

Choose a repetitive task with clear inputs, a consistent process, and a measurable outcome. That gives the first project a practical path to value.

How much does custom AI agent development cost?

The quote depends on the job, channels, integrations, approved knowledge sources and testing requirements. We separate the implementation from ongoing model, messaging and operating costs. There is no one-size-fits-all price or guaranteed return.

Can an AI agent book appointments through WhatsApp?

Yes, when the channel and booking system are properly connected and the agent has permission to act. CitaOS, our AI booking product, connects business questions and appointment actions with the schedule and team. WhatsApp and reminders require configuration and enablement during setup.

Can you build agents for English- and Spanish-speaking customers?

We can scope English, Spanish or bilingual conversations for businesses in the U.S. and Mexico. Approved answers, terminology, handoffs and realistic conversations in each required language need testing; language support alone does not establish reliability.

How do we know whether the agent is working?

Agree on a baseline and measures for its job: qualified inquiries, completed bookings, response time, correct actions and human escalations. Review failed and exceptional cases alongside successful ones rather than judging the system only by conversation volume.

What repetitive job costs your team the most time?

We will help you determine whether it needs an agent, a simpler automation, or a better business system.

Discuss an AI project →