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
Payment approval, in Centriu Gauge, uses a policy. This policy has versions. It can be flexible, controlled, or strict. After a payment is settled, the active policy can create a pending item for proof of payment. It can also create an approval request. Anything not finished goes into the period-close check. A decision on the approval screen uses a server routine. This routine locks the record. This stops two people from deciding at the same time. It also uses the segregation rule on the request. This rule can name the person who created the payment. It can name the person who settled it. It can name the person who uploaded the receipt. Or it can name the person who last changed it. An approval request can need more than one approver. It can be approved with a written note, not just a simple yes. Every decision the routine handles is written to the approval history. This includes approve, reject, return, or cancel. It shows who made the decision, when, and why.

A payment approval step only means something if the person approving genuinely could have said no. That idea breaks when the same person who entered the payment also approves it. This also happens if they settled it or uploaded its receipt. Without a real rule to stop this, "requires approval" is just a formality. It looks good on paper. But it does nothing to catch a mistake or a bad entry. This is because the person checking the work is the same person who did it.
A payment approval step only means something if the person approving genuinely could have said no. That idea breaks when the same person who entered the payment also approves it. This also happens if they settled it or uploaded its receipt. Without a real rule to stop this, "requires approval" is just a formality. It looks good on paper. But it does nothing to catch a mistake or a bad entry. This is because the person checking the work is the same person who did it.
Every organization can use one version of a payment policy at a time. These policies can be flexible, controlled, or strict. A new version never quietly replaces an old one. Each payment approval records which policy version was used for it. The approval request is made after the payment is settled. It comes from the active policy. Anything it leaves open goes into the period-close check. It does not hold the payment back. When segregation of duties is on, an approval decision is checked. It is checked against the payment's recorded creator, settler, receipt-uploader, and last-modifier. These are stored on the approval request. The policy names who cannot approve it. This is done through the decision routine. This routine reads the logged-in user on the server.
An approval request can need more than one approver. It is marked approved only after enough approvals are given. The decision function locks the specific approval row before changing it. This stops two decisions on the same request from partly applying. It also prevents an unclear state. An approver can also clear a payment "with reservation." This is different from a simple approval. But they must give a real written reason. A simple click is not enough for this option. Every decision of any kind is written to the approval history. This includes approve, approve-with-reservation, reject, return, cancel. It shows who made it, the old status, the new status, and any reason given. Users can only add entries to that history. They cannot change or delete them.
Payment policies have versions (flexible/controlled/strict). Only one version is active per organization at a time. A new version never replaces the old one.
Segregation of duties is used by the decision routine. A set policy can stop the creator, settler, receipt-uploader, or last modifier from approving it. This is based on who is recorded on the request.
There are rules for multiple approvers. An approval request is marked approved only when the needed number of different approvals are made. The payment itself is settled before the request is made.
A row-level lock is used during every approval decision. This stops two decisions on the same payment from partly applying at the same time.
An "approve with reservation" option needs a real written reason. This is different from a simple approval.
A decision history exists. Users can only add entries to it. It records who acted, the old and new status, and the reason for each decision made through the routine.
Approval stops being a formality. It stops being something the same person can ask for and give. It starts to mean that a group of people, defined by policy, must sign off. These people must be different from those recorded on the request. This happens before the approval request is closed. Anything still open is carried into the period-close check. A rule for multiple approvers is counted by the decision routine. It is not left to habit. The approval history helps answer "who approved this and why" later. It does not depend on anyone's memory or a log that can be changed.
Approval stops being a formality. It stops being something the same person can ask for and give. It starts to mean that a group of people, defined by policy, must sign off. These people must be different from those recorded on the request. This happens before the approval request is closed. Anything still open is carried into the period-close check. A rule for multiple approvers is counted by the decision routine. It is not left to habit. The approval history helps answer "who approved this and why" later. It does not depend on anyone's memory or a log that can be changed.
A team turns on a "controlled" policy. This policy needs segregation of duties and two approvers. This is for payments above a certain amount. An operations assistant settles a large payment to a vendor. They upload its receipt. The policy then creates an approval request for it. When the assistant opens the approval screen, the decision routine stops their approval. The request shows them as the one who settled the payment and uploaded the receipt. A manager and the finance lead, who did not touch the original entry, each approve it separately. The request is marked approved only after both decisions are made. Each decision is written to the approval history. It shows who decided and when. Until then, it stays open in the period-close check.

Not when segregation of duties is set up. The policy can stop a payment's creator, settler, receipt-uploader, or last modifier from approving it. This is done through the decision routine. This routine reads the people recorded on the request.
The specific approval row is locked during the decision. So, two decisions on the same payment cannot partly apply at the same time.
Not by users. They can only add entries to the decision history. There is no option to edit or delete it.
This is a way to clear a payment even with a small open issue. But it needs a real written reason on record. A blank or unimportant reason is not accepted.
No. Each approval records which policy version was used at that time. A policy change creates a new version. It does not change the old one.
It is offered through a custom plan, not a public self-service plan. Current terms are set directly with the Centriu team.
Payment approval, in Centriu Gauge, uses a policy. This policy has versions. It can be flexible, controlled, or strict. After a payment is settled, the active policy can create a pending item for proof of payment. It can also create an approval request. Anything not finished goes into the period-close check. A decision on the approval screen uses a server routine. This routine locks the record. This stops two people from deciding at the same time. It also uses the segregation rule on the request. This rule can name the person who created the payment. It can name the person who settled it. It can name the person who uploaded the receipt. Or it can name the person who last changed it. An approval request can need more than one approver. It can be approved with a written note, not just a simple yes. Every decision the routine handles is written to the approval history. This includes approve, reject, return, or cancel. It shows who made the decision, when, and why.