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.

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

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.

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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.

Diagnóstico e imersão na operação

Estratégia e prioridades

Roadmap de transformação

Desenho da arquitetura operacional

Implantação conduzida

Acompanhamento com evidências

Benchmarking e leitura de mercado

Especialistas, rede e inteligência coletiva

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

Account Rupture-Precedent Radar Automation: A Trend Never Faked Before the Data Supports It

No mainstream agency tool cross-references a client's current operational and commercial signal against the real precedent of clients who already left. This includes Asana, ClickUp or Notion. It also includes AI platforms built by big advertising holding groups. The question nobody answers today is: is this account following the same path as one we already lost? And what actually happened last time? Centriu Run's rupture radar combines two sources with genuinely different maturity. One is a burden-and-deal-quality profile computed from the tasks that already exist. This works from day one for active or inactive clients. No history is required. The other is a day-by-day behavioral signal trend. It starts empty and only becomes trustworthy after enough real days accumulate. While it does not yet have enough data, the radar states that plainly. It does not pretend a trend exists. A cancellation precedent is surfaced only when the operational and commercial distance between the two is genuinely close. This means "this account's profile resembles a client we already lost." It is capped by a fixed threshold. It is simply omitted, never invented, when nothing in the client's actual cancellation history is close enough to responsibly cite.

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Why cancellation almost always looks obvious only in hindsight

An agency rarely loses a client without warning signs. These include a slow pileup of overdue deliverables. They also include a widening gap between what the contract is worth and how much operational strain it actually costs to service. Another sign is a client quietly going quiet. The trouble is that these signals live scattered across a task list. They are also in a billing spreadsheet and someone's memory. Someone might remember, "didn't we lose someone like this before?" These signals are never combined into one place. This would let a team catch the pattern while there is still time to act on it. Instead, they recognize it only after the cancellation email arrives.

An agency rarely loses a client without warning signs. These include a slow pileup of overdue deliverables. They also include a widening gap between what the contract is worth and how much operational strain it actually costs to service. Another sign is a client quietly going quiet. The trouble is that these signals live scattered across a task list. They are also in a billing spreadsheet and someone's memory. Someone might remember, "didn't we lose someone like this before?" These signals are never combined into one place. This would let a team catch the pattern while there is still time to act on it. Instead, they recognize it only after the cancellation email arrives.

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How Centriu Run's rupture radar actually scores and cites precedent

The radar starts from a burden score (0-100). It is computed today from the client's actual tasks. This includes active-task load, capped at 30 points. It also includes real overdue deliverables, capped at 35 points. These are derived from the delivery or correction deadline date. They are never from a status field, for a documented reason explained below. Deliverables due today are capped at 15 points. High-and-urgent-priority demand is capped at 15 points. There is also a bonus weight when task volume exceeds what the client's own declared complexity level would predict. A paired deal-quality score (0-100) weighs monthly contract value. It also weighs the inverse of that same burden score. It considers the contract type. It looks at how well the client's declared complexity aligns with its actual burden band. There is a bonus for zero current overdue items. Both scores are calculable immediately. This is true for active or already-inactive clients alike. No accumulated history is required. Layered on top is a genuine day-by-day behavioral trend. It is read from a dedicated signal table. This table starts empty for every client and grows one row per day. The trend classification (rising, stable, falling, or "no history yet") only activates once at least five real days of signal exist. Below that threshold, the radar states explicitly that the trend is not yet reliable. It does not compute one from insufficient data. A cancellation precedent is then searched for. The engine measures a straight-line distance between the current client's (burden, deal-quality) profile and every already-inactive client who has a recorded deactivation reason. It keeps the closest match. It cites it as precedent ONLY if that distance falls under a fixed threshold. Above that threshold, no precedent is cited at all. This is true no matter how close the "best available" match happens to be. A distant profile is not a responsible comparison. This is true no matter how much better it is than every other inactive client. The final composite risk score weighs burden most heavily. It is followed by inverse deal quality, real overdue count, a rising trend, and precedent when one is genuinely close. This produces one of four risk levels (low, attention, high, critical). It also provides a plain-language list of exactly which factors drove that specific score for that specific client.

Ver como funciona

What is actually built today

A burden score is computed from real, current task data. This includes active load, real overdue count, deliverables due today, high-priority demand, and complexity-mismatch bonuses. It is usable from day one. No history is required.
A paired deal-quality score weighs contract value, burden, contract type, complexity alignment and a zero-overdue bonus.
A genuine day-by-day behavioral trend requires at least five real days of signal before it activates. It reports "not enough history yet" explicitly. It does not fabricate a direction from insufficient data.
A cancellation-precedent match is made against already-inactive clients. This is done via a fixed-distance comparison in (burden, deal-quality) space. It is cited only when the match is genuinely close. It is never forced.
A composite 0-100 risk score has four named levels (low, attention, high, critical). It also has a plain-language list of the exact factors that produced that specific client's score.
A real, already-documented bug fix underlies the overdue calculation. The database never actually writes an "overdue" status value. It only writes completed, in-progress, or inactive. So overdue is correctly derived from the actual delivery or correction deadline date instead. This is confirmed directly in the scoring engine's own source comment. It also notes the same logic is shared with the module's War Room view.
It works identically for active and already-inactive clients. This is because the underlying task-based scoring does not depend on ongoing billing status.

Conhecer os recursos

What changes operationally

A pattern that used to live only as scattered symptoms becomes one composite, explained score. These symptoms include rising task load, a slipping deadline, and a client gone quiet. An account manager can act on this score before the relationship actually breaks. A senior team member's hunch, "this reminds me of a client we lost," becomes a structured comparison. Anyone on the team can see it. Institutional memory is encoded in data. It is not trapped in one person's recollection. A team can trust the trend component specifically because it is willing to say nothing rather than say something false. This is the same honesty standard the rest of this pillar's Run pages already hold to.

A pattern that used to live only as scattered symptoms becomes one composite, explained score. These symptoms include rising task load, a slipping deadline, and a client gone quiet. An account manager can act on this score before the relationship actually breaks. A senior team member's hunch, "this reminds me of a client we lost," becomes a structured comparison. Anyone on the team can see it. Institutional memory is encoded in data. It is not trapped in one person's recollection. A team can trust the trend component specifically because it is willing to say nothing rather than say something false. This is the same honesty standard the rest of this pillar's Run pages already hold to.

Quero esses resultados

A precedent gets cited only because the match is genuinely close (illustrative scenario, not a real client)

An account's burden score climbs to 68 over several weeks. Its task backlog grows and two deliverables slip past their correction deadline. Its deal-quality score sits at 32. This is a mismatch between what the contract pays and what it now costs to service. The account's signal history has only three days recorded so far. So the radar reports the trend honestly as "not enough history yet." It does not guess a direction from three data points.

The engine searches against clients already marked inactive. It finds one whose own (burden, deal-quality) profile at the time of cancellation was a close match. This was well under the distance threshold. Its deactivation reason ("client cited unsustainable back-and-forth on scope") gets surfaced directly as the cited precedent. A second inactive client had cancelled for unrelated reasons entirely. It had a very different operational profile. Its distance is well above the threshold. So it is never mentioned. This is true even though it is technically the second-closest match available. The account manager sees one composite score, one risk level, and one specific, genuinely comparable precedent. They do not see a list of every past cancellation ever recorded.

A precedent gets cited only because the match is genuinely close (illustrative scenario, not a real client)

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How to get started

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Frequently asked questions

Does the radar predict cancellations using AI?

No. Every score (burden, deal quality, trend, precedent distance) is a deterministic calculation. It uses the client's own real task and signal data. There is no generative-AI model involved.

How long before the behavioral trend becomes reliable for a client?

At least five real days of signal history must accumulate. Then a trend direction (rising, stable, or falling) is reported. Before that, the radar states plainly that there is not enough history yet.

Will the radar always cite a "most similar" past cancellation, even a weak match?

No. A precedent is cited only when the matched inactive client's profile is genuinely close. This means it is under a fixed distance threshold. If nothing meets that bar, no precedent is shown. This is true regardless of which inactive client happens to be the closest available match.

Does this work for a client with no usage history yet?

The burden and deal-quality scores work from day one. They use existing task data. The behavioral trend specifically needs at least five days of accumulated signal before it activates.

Does a high risk score automatically trigger any action?

No. The radar surfaces a score, a risk level, and the specific factors behind it. Any resulting action is a human decision.

What does Centriu Run cost?

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

Ainda tenho dúvida

See how Centriu Run's rupture radar works

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