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Para empresas que querem crescer com controle

Um sistema para operar sua empresa com IA.

Vendas, marketing, atendimento, operação, financeiro e inteligência trabalhando sobre o mesmo contexto — para sua empresa ganhar escala sem perder controle.

Sua empresa inteira. Uma operação. IA trabalhando.

Para empresas de qualquer setor que querem crescer com estrutura, controle e inteligência.

Painel ilustrativo do Sistema Centriu com sete frentes trabalhando: atendimento, comercial, operação, agentes, inteligência, conteúdo e marketing. Cada frente mostra o trabalho concluído ou o próximo passo.

Representação ilustrativa do trabalho em execução

O problema

Sua empresa não deveria operar em pedaços

Não é falta de ferramenta. É que cada ferramenta resolve um pedaço, e ninguém é dono do todo. O custo disso não aparece numa fatura — aparece no mês seguinte.

  • Sistemas que não se falam

    O mesmo dado é digitado de novo — e cada cópia conta uma história diferente.

  • Dados duplicados

    Ninguém sabe qual versão é a verdadeira na hora de decidir.

  • Conversas perdidas

    O cliente repete o contexto a cada canal e a cada pessoa.

  • Tarefas espalhadas

    O trabalho vive em planilhas, mensagens e na memória de alguém.

  • Decisões sem contexto

    A escolha é feita com o recorte que estava à mão, não com o que importava.

  • Automações desconectadas

    Cada ferramenta automatiza um pedaço e ninguém enxerga o todo.

Nenhum desses problemas se resolve comprando mais um software. Eles se resolvem quando a operação inteira passa a trabalhar sobre o mesmo contexto.

A resposta

Tudo trabalha sobre o mesmo contexto.

A Centriu não é uma coleção de produtos. É uma plataforma em que clientes, áreas e agentes leem e escrevem no mesmo lugar.

Cliente 360

Um contexto, não vários cadastros

Cada conversa, tarefa, campanha, cobrança e decisão fica ligada ao cliente e à operação — não a um sistema isolado.

  • Clientes
  • Comercial
  • Atendimento
  • Operação
  • Financeiro
  • Marketing
  • Inteligência
  • Agentes
  • Consultoria

As áreas abaixo são partes da mesma operação, não produtos separados. Elas compartilham conta, permissões e histórico.

IA que trabalha — não um chatbot ao lado

A inteligência artificial da Centriu participa da operação: entende contexto, prepara trabalho, executa rotinas e pede aprovação quando importa.

Entende o contexto

Lê a operação, o cliente e o histórico antes de propor qualquer coisa.

Prepara o trabalho

Redige, organiza, calcula e deixa pronto para revisão humana.

Executa rotinas

Roda o que é repetitivo dentro dos limites definidos pela empresa.

Recomenda a próxima ação

Cruza áreas, identifica prioridade e mostra o motivo da recomendação.

Pede aprovação

O que é sensível passa por uma pessoa antes de valer. Sem exceção silenciosa.

Mantém histórico e aprende

Registra o que aconteceu e usa o resultado para melhorar a próxima decisão.

O que a Centriu faz

Uma plataforma, várias frentes de trabalho. Tudo no mesmo contexto, com a IA participando do que dá para acelerar.

Comercial

CRM, pipeline, oportunidades, propostas, follow-up e automações.

Atendimento

WhatsApp, Instagram, Messenger, chat do site e e-mail no mesmo contexto.

Operação

Tarefas, responsáveis, prazos, aprovações, agenda e capacidade.

Financeiro

Contas, cobranças, caixa, fiscal, margem, IR, orçamento e inteligência econômica.

Marketing

Planejar, produzir, aprovar, publicar e medir conteúdo e campanhas.

Inteligência

Painéis, alertas, previsões, recomendações e leitura executiva.

Agentes

Rotinas executadas continuamente pela IA com controle e aprovação.

Consultoria

Diagnóstico, estratégia, transformação, acompanhamento e especialistas.

Para quem é

Para empresas que querem crescer — e crescer certo.

A Centriu faz sentido quando o volume aumenta e a estrutura precisa acompanhar. Não é sobre setor nem tamanho: é sobre a operação conseguir sustentar o próximo estágio.

As vendas crescem, mas o processo não acompanha.

As áreas trabalham separadas e o cliente sente.

A operação depende de pessoas específicas.

O financeiro ficou complexo e o caixa perde visibilidade.

O atendimento cresce em volume e em canais.

A IA entra sem contexto, controle ou histórico.

Se a empresa ainda não começou a crescer, a Centriu também ajuda a preparar a estrutura para o primeiro salto.

Ver a Centriu funcionando
Consultoria

Tecnologia sozinha não resolve uma operação mal desenhada.

A Centriu combina tecnologia, inteligência, método e acompanhamento. A consultoria diagnostica, desenha, implanta e acompanha — com evidências, não com apresentação.

A participação de especialistas depende da solução e do contrato. Não é um item incluído automaticamente em toda contratação, e não prometemos acompanhamento humano ilimitado.

Veja a Centriu funcionando na sua operação

Uma conversa para entender onde a sua operação perde tempo, dinheiro ou capacidade — e o que a Centriu faria primeiro.

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problema

Cross-Module Operational Pattern Memory Automation: The System Remembers What Keeps Happening

Cross-module pattern memory, in Centriu Run, reads real events from six operational surfaces — overdue and in-progress tasks, mind map structure and which of its nodes actually became tasks, Decision Engine history, Action Center's prepared actions and saved meetings, plus direct custom events — and runs each stream through a specific, hard-coded rule. It does not use a generic anomaly detector. Seven distinct pattern types can surface this way: a client whose approvals go overdue at least twice, a team area absorbing six or more tasks with at least two overdue, a mind map with real structure but almost nothing turned into a task, a funnel with acquisition activity and zero conversion activity, decisions with a track record of actually getting executed, a prepared-action type repeating at least twice, and an executive question theme coming up at least twice in the Copiloto. Nothing here is guessed by a model — every trigger is a fixed number in the code. It is checked against real data pulled live each time.

Cross-Module Operational Pattern Memory Automation: The System Remembers What Keeps Happening

Why a recurring problem often never gets treated as one

The fact that a specific client's approvals are always late, or that one team keeps drowning while nobody quite names the trend, usually lives only in the head of whoever has been paying attention long enough to connect the dots. That person forgets, changes roles, or simply isn't in the room when the pattern would actually change a decision. Recognizing that something is recurring, rather than a one-off, is exactly the kind of judgment an operating system should be able to hold onto. It should not rely on someone's memory to carry it forward.

  • The fact that a specific client's approvals are always late, or that one team keeps drowning while nobody quite names the trend, usually lives only in the head of whoever has been paying attention long enough to connect the dots. That person forgets, changes roles, or simply isn't in the room when the pattern would actually change a decision. Recognizing that something is recurring, rather than a one-off, is exactly the kind of judgment an operating system should be able to hold onto. It should not rely on someone's memory to carry it forward.

How Centriu Run turns six real event streams into seven named patterns

Every time the Memory Engine runs, it rebuilds its event stream live from six real places in the product. It doesn't read from a separate "events" table someone has to populate by hand. Overdue and in-progress tasks come straight from the task list itself. It uses the same overdue check the rest of Run relies on elsewhere. Mind map structure comes from each organization's saved maps. It includes which of a map's nodes have actually been linked to a real task. Decision Engine contributes the history of what got suggested, approved, deferred or executed. Action Center contributes prepared actions by type and saved meeting records. A sixth stream — direct custom events — is written straight to a shared, per-organization table. This way, a pattern one person's actions create is visible to a colleague, not stuck in that one person's browser.

Seven pattern rules run against those streams. Each has a threshold written directly into the code rather than tuned by a model: a client needs at least two overdue tasks whose stage or name reads as an approval step before "recurring approval delay" fires for that client. An operational area needs at least six total tasks and at least two overdue before "area overload" fires. A mind map needs at least four nodes with no more than a fifth of them actually linked to a task before "strategy without execution" fires. A map needs at least one node that reads as acquisition-related and zero that read as conversion-related before the funnel-imbalance pattern fires. At least two approved-or-executed decisions are needed before a decision-adherence pattern is recorded. At least two prepared actions of the same type are needed before that type is flagged as recurring. Finally, at least two Copiloto questions on the same inferred theme are needed before that theme is flagged. None of these numbers move based on how interesting the result looks — they are the same for every organization.

What is actually built today

  • Six real event streams feeding one engine: overdue/active tasks, mind map structure and task-linkage, Decision Engine history, Action Center's prepared actions, saved meeting records, and direct custom events shared per organization.

  • Seven distinct, separately-triggered pattern types, each with its own fixed numeric threshold coded directly rather than tuned by a model.

  • Recurring client approval delay: fires once a specific client accumulates at least two overdue tasks reading as an approval step.

  • Area/team overload: fires once an operational area accumulates at least six total tasks with at least two overdue.

  • Strategy mapped without execution: fires once a mind map has real structure (four or more nodes) but almost none of it — a fifth or fewer — is linked to an actual task.

  • Acquisition without conversion, decision follow-through, prepared-action-type recurrence, and Copiloto question-theme recurrence, each gated at a minimum of two qualifying occurrences.

What changes operationally

A recurring problem stops depending on someone happening to remember the last three times it happened. The system holds that count itself. It is tied to the exact tasks, maps or decisions that produced it. Because every rule is a specific number checked against real data, a pattern that fires can always be traced back to precisely why it fired. This matters when the next step is redistributing work or having a hard conversation with a client.

  • A recurring problem stops depending on someone happening to remember the last three times it happened. The system holds that count itself. It is tied to the exact tasks, maps or decisions that produced it. Because every rule is a specific number checked against real data, a pattern that fires can always be traced back to precisely why it fired. This matters when the next step is redistributing work or having a hard conversation with a client.

Two overdue approvals become one flagged pattern (illustrative scenario, not a real client)

An account has had two separate tasks blow their delivery date this quarter. Both are sitting in an approval-related stage. Handled individually, each looks like a one-off — a slow week, a busy client. Read together against the coded rule, they cross the threshold for a recurring approval-delay pattern tied to that specific client. The pattern surfaces with both dates and both task names attached. It is not just a vague sense that "this client is always slow."

Two overdue approvals become one flagged pattern (illustrative scenario, not a real client)

How to start

Frequently asked questions

Does an AI model decide which patterns get flagged?

No — all seven pattern rules run on fixed numeric thresholds coded directly into the engine. They are checked against real task, mind map, decision and action data.

How many times does something need to happen before it's flagged as a pattern?

At minimum twice for every rule. Two of the seven also require a minimum amount of underlying structure, such as a mind map with at least four nodes.

Where do the events actually come from?

Six real places already in daily use: tasks (overdue and active), mind maps (structure and which nodes became tasks), Decision Engine history, Action Center's prepared actions, saved meetings, and direct custom events.

Can two people on the same team see the same detected pattern?

Custom events write to a shared, per-organization record. This is better than a single browser's local storage. A pattern one person's actions contribute to is visible to a colleague too.

Does a pattern explain why it happened?

No — it reports the count and the specific tasks, maps or decisions behind it. Interpreting the cause is left to the person reading it.

What does Centriu Run cost?

It is sold by subscription with a published starting price. Exact current values are on the central pricing page.

See how Centriu Run detects recurring operational patterns

Cross-module pattern memory, in Centriu Run, reads real events from six operational surfaces — overdue and in-progress tasks, mind map structure and which of its nodes actually became tasks, Decision Engine history, Action Center's prepared actions and saved meetings, plus direct custom events — and runs each stream through a specific, hard-coded rule. It does not use a generic anomaly detector. Seven distinct pattern types can surface this way: a client whose approvals go overdue at least twice, a team area absorbing six or more tasks with at least two overdue, a mind map with real structure but almost nothing turned into a task, a funnel with acquisition activity and zero conversion activity, decisions with a track record of actually getting executed, a prepared-action type repeating at least twice, and an executive question theme coming up at least twice in the Copiloto. Nothing here is guessed by a model — every trigger is a fixed number in the code. It is checked against real data pulled live each time.