AI customer service

Every conversation has a next step.

A1 designs and implements AI customer service for businesses that need to organize conversations, answer recurring questions and route requests. The agent works with reviewed information and operating rules. Your team defines what it can do, when it must stop and who takes over the conversation.

Request an assessment

Illustrative application. Your assessment defines the actual workflow.

We start with the path of a conversation

When messages arrive through several channels, the problem may lie in the queue, the information or the handoff. We follow how a request arrives, who responds, which systems they consult and how it ends. This shows where an agent could help.

The initial scope covers one channel and a defined set of topics. It may include common questions, triage or scheduling, depending on the available tools and approved rules. AI customer service needs someone responsible for its operation and a knowledge base the team can maintain.

What we build with your team

Each capability addresses an identified need. The implementation can connect WhatsApp through its official API, email or website chat to the tools your team uses.

Answers grounded in information: Organized, approved information, defined topics and questions that require human review.
Actions within clear limits: Triage, lookups and record updates with defined permissions. Actions requiring confirmation are separated from those the agent can carry out.
Handoffs with context: Routing criteria, a responsible person and the history needed for someone to continue the conversation.

Prepare the operation before introducing the agent

Before making the workflow available to customers, we assess answers, actions and handoffs in controlled scenarios. Unanswered questions, failures and requests outside the scope are part of that review. Acceptance criteria are agreed with your team.

The delivery includes the service workflow, agent configuration, agreed integrations and an operating guide. We also define which records to monitor and how to review the knowledge base. Automated service needs ongoing attention: an answer that appears correct may still need correction.

An example in practice

Fictional scenario, not a client case: a clinic receives confirmation and rescheduling requests while reception staff attend to patients. The proposed workflow identifies the request, checks permitted slots and asks for confirmation before changing the appointment. Clinical questions and complaints go to the team with the conversation context.

What to measure is defined before the test: completed requests, corrections required and conversations handed over. The decision to expand the agent depends on those findings, not simply the number of messages answered.

Frequently asked questions

Let’s make it clear.

Does the agent replace the customer service team?

The scope defines which tasks it takes on and which remain with people. Questions outside approved topics, exceptions and sensitive decisions need a handoff route. Your team remains responsible for customer service.

How do you handle incorrect answers?

We use a reviewed knowledge base, testing, action limits and conversation monitoring. These measures reduce risk, but they do not make AI infallible. The operation needs procedures for correction, review and stopping the workflow when necessary.

Can it connect to our existing calendar or CRM?

We assess the available integrations and each tool's permissions. When a connection is feasible and makes sense for the process, the scope specifies the data involved and the actions allowed.

How is pricing determined?

It depends on the channels, topics, integrations and ongoing support in scope. Implementation and any tool costs are explained in the proposal before work begins.

Start with a conversation

Where does work
get stuck?

Tell us what your team needs to improve. We will learn about your situation and see whether a process assessment is the right next step.

Request an assessment WhatsApp +55 14 98834-4267