Strategy, design and technology on one team, for businesses that want to be found, understood and chosen.

04 / AI Integration·Processes and automation

AI connected to your business workflow.

We integrate AI with your business tools and processes. We create assistants, knowledge-base queries and automations suited to the use case, with rules, testing and monitoring defined for the project.

Approved knowledge base
Business information
Defined integrations
According to scope
Human oversight
Agreed rules
Tests and adjustments
Flows verified

About this service

Integration with a clear purpose.

We start with the process you want to improve: finding information, organizing leads, supporting your team or connecting tasks across systems. We configure the solution using approved materials, available tools and defined limits for each action.

Technology addresses a specific need, with validation before operational use.

  • 01

    Configured for your process

    Business information, rules and goals guide the solution configuration.

  • 02

    Approved information

    We define which sources the solution can consult and which actions need human approval.

  • 03

    Ready for everyday use

    We test workflows and define logs, oversight and failure handling for the use case.

  • 04

    Defined responsibilities

    Access, providers and responsibilities are agreed for the project. Costs and ongoing service terms are set out in the proposal.

In practice

One application: AI customer support.

  • 01Based on your contentWe configure consultation of your business's approved documents, frequently asked questions and materials.
  • 02Shows where it came fromWhen included in the project, answers can show the sources consulted.
  • 03Knows when to hand offWe define rules for referring unknown or sensitive questions to the team.
Virtual assistantOnline Demo
Demo conversation

Who it's for

We don't take on every project.

AI integration is for businesses with a process to improve, available information and someone responsible for validating how the solution is used. We define the use case before choosing technology.

It's for you if

  • Your team repeats queries or tasks that could benefit from AI support
  • You need to connect information and tasks across business tools
  • You want to organize or qualify leads with defined rules and oversight
  • You want to make company documents and information easier to query
  • You want to test a use case before expanding automation
  • You can designate who validates the solution's answers, actions and adjustments

It may not be for you if

  • You want to automate without defining the process, integrations and operating limits.
  • Your content, rules and information aren't ready to feed the AI yet.
  • You expect AI to replace your team. It helps the team; it doesn't take its place.
  • You want AI without rules, validation or someone responsible for monitoring.

What you get

Features defined for each project.

  1. 01

    Assistants and automations

    Configuration of the agreed workflows and features for the defined use case.

  2. 02

    Search across your content (RAG)

    Consultation of the approved knowledge base, with sources and criteria defined in the project.

  3. 03

    Brand voice tuning

    For conversational assistants, tone and response guidelines are defined with your team.

  4. 04

    Knowledge base

    Documents, FAQs and materials organized for the AI to look up.

  5. 05

    CRM and tool integration

    Connections to the tools included in the scope, subject to available access and features.

  6. 06

    Logs and monitoring

    Usage logs and metrics defined for the process and available data.

  7. 07

    Validation and escalation

    Rules for reviewing actions or escalating situations to the team, with workflows and channels tested during the project.

  8. 08

    Custom interface

    When needed, an interface to use the solution, monitor workflows or query information.

  9. 09

    Multiple languages

    Languages included in the scope, with content review and response testing.

  10. 10

    Data handling and access

    Access, usage and data retention settings defined according to the project tools and responsibilities.

  11. 11

    Warranty and monthly maintenance

    90 days of fixes after delivery. After that, monthly maintenance reviews the answers, updates the knowledge base and adjusts the workflows.

  12. 12

    Documentation and handoff

    Guidance on use, integrations, limits and dependencies on the providers involved.

→

From proof of concept to everyday use

The features above are scope options. We define the use case, test the solution and agree on criteria for starting operations and monitoring usage.

  1. 01

    Diagnosis and use case

    Map the process, users, information and validation criteria.

  2. 02

    Information and rules

    Organize approved sources, access and rules required for the use case.

  3. 03

    Build and integration

    Configure workflows, connect tools and test actions, answers and failure scenarios.

  4. 04

    Launch and tuning

    Validate with the team, start use and monitor adjustments within the agreed coverage.

What we build

AI assistant, Custom agents, RAG systems, AI MVPs, LLM integration, Process automation, Lead qualification

Related work

See the full portfolio

Frequently asked questions

Good questions.

How is an AI project priced?
Each project is quoted after the diagnosis, according to scope, integrations and monitoring. Channels, volume and monitoring are defined in the proposal.
How is this different from ChatGPT or a regular chatbot?
The service includes configuring a use case, connecting tools and defining sources, rules and testing for your operations. When needed, we use retrieval from an approved knowledge base (RAG). It goes beyond providing a conversation with an AI model.
Will the AI make things up?
We define which sources the solution can consult and which actions need human approval. We test workflows and make adjustments as needed within the scope. This reduces risks but does not guarantee error-free operation.
How long does it take to launch?
It depends on scope and integrations, and the timeline is defined during the diagnosis. The schedule is recorded in the proposal.
Which models do you use?
We choose models and providers based on the use case, test quality, costs, integrations and data handling conditions. The choice and dependencies are recorded for the project.
What about privacy and LGPD?
We map the data used and agree on access, retention, providers and responsibilities. Technical settings depend on the contracted tools. When a project requires legal or regulatory validation, the responsible party and necessary review are defined before deployment.
What happens once the AI is in use?
For the first 90 days, we fix at no cost anything that doesn't work as agreed. After that, monthly maintenance keeps the solution reliable: we review conversations and logs, update the knowledge base when prices, services or rules change, and adjust the workflows when tools change. There's no lock-in.

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