Entende o contexto
Lê a operação, o cliente e o histórico antes de propor qualquer coisa.
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
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 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.
As áreas abaixo são partes da mesma operação, não produtos separados. Elas compartilham conta, permissões e histórico.
A inteligência artificial da Centriu participa da operação: entende contexto, prepara trabalho, executa rotinas e pede aprovação quando importa.
Lê a operação, o cliente e o histórico antes de propor qualquer coisa.
Redige, organiza, calcula e deixa pronto para revisão humana.
Roda o que é repetitivo dentro dos limites definidos pela empresa.
Cruza áreas, identifica prioridade e mostra o motivo da recomendação.
O que é sensível passa por uma pessoa antes de valer. Sem exceção silenciosa.
Registra o que aconteceu e usa o resultado para melhorar a próxima decisão.
Uma plataforma, várias frentes de trabalho. Tudo no mesmo contexto, com a IA participando do que dá para acelerar.
CRM, pipeline, oportunidades, propostas, follow-up e automações.
WhatsApp, Instagram, Messenger, chat do site e e-mail no mesmo contexto.
Tarefas, responsáveis, prazos, aprovações, agenda e capacidade.
Contas, cobranças, caixa, fiscal, margem, IR, orçamento e inteligência econômica.
Planejar, produzir, aprovar, publicar e medir conteúdo e campanhas.
Painéis, alertas, previsões, recomendações e leitura executiva.
Rotinas executadas continuamente pela IA com controle e aprovação.
Diagnóstico, estratégia, transformação, acompanhamento e especialistas.
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 funcionandoA 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
Uma conversa para entender onde a sua operação perde tempo, dinheiro ou capacidade — e o que a Centriu faria primeiro.
problema
Automatic client-rejection correction, through Centriu Atlas, starts the instant a client rejects a caption or artwork inside their approval portal in Centriu Axis. A database trigger fires immediately. Only if the agency has opted in per client and per type, the rejected item is queued for an automated fix. This is instead of waiting for someone on the team to notice and act manually. Before touching anything, an AI pass makes one binary decision: is this rejection specific enough to act on? A vague rejection like "didn't like it," with no clear direction, is routed to a human. The system never invents a fix for feedback that does not specify what is wrong. When a rejection IS actionable, the fix itself is scoped. A caption gets its text revised. An image gets regenerated using the same image-to-image tool the in-app assistant uses. This keeps continuity with what the client almost approved. Where the corrected item goes next is configurable per agency. It can go back to internal review by default, saved as a silent draft, or straight back to the client.

A client's rejection sitting in an approval queue is only useful when someone on the team sees it and acts. In a busy agency juggling several client accounts, that moment can be hours or days after the rejection. The team member who notices then has to figure out what the client meant. They must decide what kind of fix is appropriate. They also have to manually route the corrected version back through review. This is the same manual sequence every time a client says no to something fixable.
A client's rejection sitting in an approval queue is only useful when someone on the team sees it and acts. In a busy agency juggling several client accounts, that moment can be hours or days after the rejection. The team member who notices then has to figure out what the client meant. They must decide what kind of fix is appropriate. They also have to manually route the corrected version back through review. This is the same manual sequence every time a client says no to something fixable.
The moment a client rejects a caption or artwork inside their approval portal, a database trigger fires immediately. This is not on the next scheduled check, but the instant the rejection is recorded. That event only enters Atlas's automated-fix queue if the agency has opted in for that exact combination. Captions and artwork are independent toggles. A full re-edit is configured separately from a scoped script revision. An agency can enable automatic caption fixes while keeping every artwork rejection fully manual, or any other combination.
A background process runs every few minutes. It works through the queue using optimistic locking. This means two processing attempts can never collide on the same item. For each queued rejection, an AI pass first makes a single binary call: is the client's rejection reason specific and actionable, or vague? A rejection like "wrong call-to-action" or "logo is cut off" is actionable. A vague rejection like "just doesn't feel right" is not. A non-actionable rejection is routed directly to a human. No automated fix is attempted. For an actionable rejection, the fix stays scoped to what was flagged. A caption gets its text revised to address the specific feedback. An image is regenerated using image-to-image generation. This uses the same tool the in-app assistant uses. The corrected version builds on the original rather than starting over. This keeps what the client had already been close to approving. Once fixed, the item is routed to wherever the agency configured as its destination. This can be back into internal review by default, saved as a silent draft, or sent straight back to the client. A hard cap on retry attempts, enforced by the queue, prevents an item from cycling indefinitely. Every step is logged to the item's own event and message trail. Nothing about the correction happens invisibly.
A database trigger that fires the instant a client rejects a caption or artwork inside their approval portal. This is not on a delayed check.
Independent per-client, per-type opt-in toggles. Captions and artwork are separate settings. A full re-edit is configured separately from a scoped revision.
An AI actionability check performed before any fix is attempted. A vague rejection is routed to a human. It is never guessed at.
Scoped fixes only. A caption gets a text revision. An image is regenerated with image-to-image generation. This reuses the same tool the in-app assistant uses. It preserves continuity with the original.
A configurable destination for the corrected item. This can be internal review by default, a silent draft, or straight back to the client.
Optimistic locking on the processing queue. This means two attempts can never collide on the same item.
A hard retry cap enforced by the queue. This prevents an item from cycling indefinitely.
A full event and message trail recording the trigger, the actionability decision, the fix applied, and the destination chosen.
A rejection stops sitting idle until someone notices it. The fix that follows builds on what the client had already reviewed. This is better than starting from a blank page. Because vague feedback is routed to a person, the agency keeps the judgment calls that need a human. The clearly-specified fixes stop using that same attention.
A rejection stops sitting idle until someone notices it. The fix that follows builds on what the client had already reviewed. This is better than starting from a blank page. Because vague feedback is routed to a person, the agency keeps the judgment calls that need a human. The clearly-specified fixes stop using that same attention.
A client rejects a scheduled Instagram caption with the note "too formal, needs to sound more casual." The rejection triggers Atlas's queue immediately. Because the agency has opted in to automatic caption fixes for this client, the item is picked up within a few minutes. The AI actionability check finds the feedback specific enough to act on. It revises the caption's tone accordingly. Per this agency's configured destination, it routes the revised version back into internal review. A team member reviewing it an hour later sees exactly what changed and why. They approve it, and it goes out on schedule. Nobody had to notice the original rejection or write the fix themselves.

No. Only for the specific client and content type. This includes captions, artwork, script revision, or full re-edit. The agency has to opt into these.
It is routed to a human. The system only attempts a fix when the rejection is specific enough to act on.
Not by default. Internal review is the default destination. "Straight to client" is a separate option an agency can choose.
With image-to-image generation built on the original artwork. This is not a from-scratch regeneration. It preserves what the client had already reviewed.
No. A hard retry cap enforced by the queue stops processing after a set number of attempts.
It is sold with tiered plans. These start at a published entry price. AI usage has a fail-closed ceiling per plan. This is measured over a 5-hour and a 7-day window. Current prices are on the central pricing page.
Automatic client-rejection correction, through Centriu Atlas, starts the instant a client rejects a caption or artwork inside their approval portal in Centriu Axis. A database trigger fires immediately. Only if the agency has opted in per client and per type, the rejected item is queued for an automated fix. This is instead of waiting for someone on the team to notice and act manually. Before touching anything, an AI pass makes one binary decision: is this rejection specific enough to act on? A vague rejection like "didn't like it," with no clear direction, is routed to a human. The system never invents a fix for feedback that does not specify what is wrong. When a rejection IS actionable, the fix itself is scoped. A caption gets its text revised. An image gets regenerated using the same image-to-image tool the in-app assistant uses. This keeps continuity with what the client almost approved. Where the corrected item goes next is configurable per agency.