Conversational automation

Chatbot and AI agent development

Automate conversations without losing context, control or quality.

We create chatbots and AI agents focused on operational outcomes: reducing queues, qualifying leads, answering frequent questions, opening tickets, querying systems and routing complex cases to the right team. The build starts from the company’s real process, not from a generic flow.

Chatbot and AI agent development
What changes in practice

A project conducted with context, execution and a continuity mindset.

Our work combines strategy, implementation and knowledge transfer. The goal is to deliver something that works in the company’s real environment, with documentation, indicators and clear next steps.

Clear scopedefined priorities, risks and deliverables
Assisted executiontechnical team following from design to go-live
Continuous evolutionimprovements guided by data and operations
Highlights

Where this service creates impact

Screening, support, sales, service, billing and post-sale flows.

Agents trained with texts, FAQs, documents, products, policies and knowledge base content.

Integrations with APIs, legacy systems, catalogs, CRMs and ERPs.

Human handoff with context, history and priority rules.

Deliverables

What you receive

  • Map of intents, journeys and service rules.
  • Conversational flows and operational prompts.
  • Integration and automation setup.
  • Assisted testing, language adjustments and continuous improvement plan.
Process

How we conduct it

  1. Discovery of use cases and automation goals.
  2. Design of flows, messages, decisions and handoffs.
  3. Agent build, integration and training.
  4. Validation with real conversations and metric-driven evolution.
Skills and certifications

Technical experience for projects involving software, cloud and operations.

When the scope requires development, integrations or infrastructure, we assemble the team around the skills the company needs: architecture, development, cloud, DevOps, security, data, product and operations.

PHP
Node.js
JavaScript
TS TypeScript
jQ jQuery
Angular
React
HTML5
Java
Go Golang
Linux
K8s Kubernetes
Docker
AWS
OCI Oracle Cloud
GCP Google Cloud
MySQL MySQL
Mongo MongoDB
Redis Redis
MQ RabbitMQ
ES Elasticsearch
Jenkins
CI/CD CI/CD
API APIs REST
Architecture

Architecture shaped by the project, not by fashion

We work with microservice architectures, well-organized monoliths and event-driven design when events, queues and asynchronous integrations make sense. The choice depends on budget, timeline, technical context, team maturity, required integrations and the expected scale of the project.

Well-structured monolith

It can be the best decision when the project needs to launch faster, has a lean team, a concentrated business domain or is still validating product and processes.

Microservices

They make sense when there are independent domains, a need to scale parts separately, critical integrations, parallel teams or strong isolation and evolution requirements.

Event-driven design

We use events, queues and asynchronous processing when the project needs to integrate systems, decouple stages, handle volume, reduce direct dependencies and increase operational resilience.

MVPs with a path to scale

We create MVPs to validate businesses and ideas quickly without abandoning good practices. The solution starts simple enough to test hypotheses and organized enough to scale when the idea proves value.

Next step

Let’s understand the scenario and define a viable path.

Tell us what your company needs to solve. Tolv helps turn the problem into scope, technical priority and an execution plan.

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