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.

Ver a Centriu funcionando

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

Security Posture Score Computation Integrity Automation: A Feature That Had Never Once Computed Anything

Centriu Flow's own security-posture scoring function queried a table by a name that does not exist in the real database as the very FIRST thing it did — every single invocation threw an error at that first step and the function died immediately, before computing a single category score for any workspace. Measured directly: the table meant to store a computed posture score held zero rows, for every workspace, since the feature existed. A closely related defect in the same investigation: automation-driven adjustments to a contact's lead score wrote to a table that also does not exist under the name the code used, meaning no automation-triggered score adjustment had ever been recorded either. Both fixed by correcting the table and column names to match the real, live schema — and both confirmed working by a direct production probe after the fix shipped.

Quero resolver isso

A feature that fails on its first line looks identical, from outside, to a feature that was never built

A function that dies on its very first database call produces the same outward silence as a feature that genuinely has nothing to report yet — a security-posture score of zero categories computed looks, from a dashboard, exactly like a workspace that simply has not been scored recently. The difference between "nothing has happened yet" and "this has never once worked" is invisible from the outside precisely when the failure happens at the earliest possible point, before anything the feature does could leave a partial, diagnosable trace.

A function that dies on its very first database call produces the same outward silence as a feature that genuinely has nothing to report yet — a security-posture score of zero categories computed looks, from a dashboard, exactly like a workspace that simply has not been scored recently. The difference between "nothing has happened yet" and "this has never once worked" is invisible from the outside precisely when the failure happens at the earliest possible point, before anything the feature does could leave a partial, diagnosable trace.

Quero resolver isso

How a function dying on its first query was traced, and what the production probe confirmed afterward

The security-posture scoring function's job is to compute a category-by-category score describing how well a workspace's own security practices measure up, then store that computed score for the dashboard to display. Its very first step — before any of that scoring logic runs — looks up the list of accounts it needs to score. That lookup queried a table by a name that does not exist in the real, live database at all; the real table holding account records lives under a different name entirely. Every single invocation of the function threw an error at that exact first line and terminated immediately, meaning none of the scoring logic beneath it had ever executed, for any workspace, since the feature existed.

Correcting the table name alone surfaced a second, smaller defect in the same code path: the final step, an upsert meant to save a scoring recommendation, specified a combination of columns to resolve conflicts against that had no matching unique index in the live database — meaning even after the table lookup was fixed, this specific write would still have failed with nothing to conflict against. A migration adding the missing index closed that gap in the same pass.

A distinct but closely related defect, found in the same broader investigation into database-write mismatches, lived in a completely different function: an automation rule capable of adjusting a contact's lead score wrote its adjustment to a table name that also does not exist under that name in the real schema — the correct table uses a different name entirely, and stores the point adjustment under a different column name than the code supplied. Every automation-triggered score adjustment failed identically and silently, for the same underlying reason as the posture-scoring defect: a name in the code that had drifted away from the name in the actual, live database.

Both fixes were confirmed, not merely asserted, by a direct production probe run after they shipped: the corrected posture-scoring function was invoked for real and measured writing an actual score — a specific overall number and its underlying category recommendations — for the first time since the feature existed.

Ver como funciona

What is actually built today

Centriu Flow's security-posture scoring function looks up accounts using the correct, real table name, so its scoring logic actually executes instead of terminating on its first query.
A missing unique index was added specifically so the scoring function's own recommendation-saving upsert has a real conflict target to resolve against, rather than failing at its final step even after the table-name fix.
Automation-driven lead-score adjustments now write to the correct table, under the correct column name for the point adjustment itself, so a rule-triggered score change is actually recorded rather than silently discarded.
A direct production probe, run after both fixes shipped, confirmed the posture-scoring function computes and saves a real overall score with real category-level recommendations.
Both fixes were found through the same schema-comparison discipline applied elsewhere in this investigation: comparing what the code actually writes and reads against a live snapshot of the real database schema, not an assumed one.
Neither fix changes the SCORING LOGIC itself — the categories evaluated and the point calculations were already correctly designed; the defect was entirely in the table and column names the code used to read input and write output.

Conhecer os recursos

What changes operationally

Centriu Flow's security-posture scoring function now executes its full computation rather than terminating on its first database call, and automation-triggered lead-score adjustments are now actually recorded — closing a gap where two related scoring mechanisms had produced zero real output since they existed.

Centriu Flow's security-posture scoring function now executes its full computation rather than terminating on its first database call, and automation-triggered lead-score adjustments are now actually recorded — closing a gap where two related scoring mechanisms had produced zero real output since they existed.

Quero esses resultados

A dashboard showing nothing, because the function never got past its first line (illustrative framing of the actual measured finding)

A workspace opens its own security-posture dashboard expecting to see a scored breakdown across categories — access control, data handling, and others the feature is designed to evaluate. Before the fix, the underlying computation function has already failed and exited at its very first database call, every time it has ever run, so there is nothing to show and no specific error pointing at why. After the fix, the identical dashboard request triggers a function that successfully looks up the account, computes a real category-by-category score, and saves both the overall number and the specific recommendations behind it — visible for the first time since the feature was built.

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Como começar

Começar agora

Perguntas frequentes

Why did the security-posture score never show anything?

The scoring function's very first database query referenced a table name that does not exist in the real schema, so the function threw an error and terminated before computing any score, for any workspace, since the feature existed.

How was the fix confirmed to actually work?

A direct production probe invoked the corrected function after the fix shipped and measured it saving a real overall score along with real category-level recommendations — the first time this had ever happened.

What was the second, related defect?

A separate function that adjusts a contact's lead score in response to an automation rule wrote to a table name that also does not exist under that name, and to a column name that does not match the real schema — every automation-triggered adjustment failed identically.

Did fixing the table name alone fully resolve the posture-scoring issue?

No — it surfaced a second gap: the function's final upsert had no matching unique index to resolve conflicts against, requiring an additional migration to add the missing index.

Were the scoring categories or point values themselves wrong?

No — the scoring design itself was correct throughout; the defect was entirely in the table and column names the code used to read input and write output.

What does Centriu Flow 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 Flow verifies its own scoring computations actually run and save

Quero resolver isso