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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

Brand-Strategy Coherence Scoring Automation: When the Palette and the Positioning Disagree

A brand can declare a premium positioning in one document and describe its own visual style as "simple and casual" in another, and nothing forces anyone to notice the two disagree until a client asks why the website does not feel premium. Centriu Vesper runs a deterministic, rule-based engine — no AI model's judgment involved — that compares a project's branding declarations (style, colors, fonts, desired perception) directly against its strategy declarations (positioning, ideal customer, value proposition, message pillars), and scores the agreement across five fixed dimensions: Clarity, Differentiation, Coherence, Visual Strength and Consistency. The output names specific risks and contradictions in plain language — "colors defined with no strategic function," "premium positioning paired with a casual, simple visual style" — plus a prioritized list of the levers most likely to close the gap, and every score carries a confidence level tied explicitly to how much of the underlying branding and strategy data was actually filled in.

Brand-Strategy Coherence Scoring Automation: When the Palette and the Positioning Disagree

Why branding and strategy quietly drift apart even inside one project

A brand's visual identity and its strategic positioning are usually built by the same team, often in the same tool, and yet they routinely disagree with each other in ways nobody notices until a client or a customer points it out. Positioning gets written as "premium and exclusive"; the color palette gets chosen for being easy to work with rather than for signaling anything in particular; the fonts get picked because someone liked them. Each individual choice feels reasonable in isolation. The disagreement only becomes visible when someone deliberately holds the strategic claim and the visual choices next to each other and asks whether they actually say the same thing — and that comparison rarely happens on its own.

  • A brand's visual identity and its strategic positioning are usually built by the same team, often in the same tool, and yet they routinely disagree with each other in ways nobody notices until a client or a customer points it out. Positioning gets written as "premium and exclusive"; the color palette gets chosen for being easy to work with rather than for signaling anything in particular; the fonts get picked because someone liked them. Each individual choice feels reasonable in isolation. The disagreement only becomes visible when someone deliberately holds the strategic claim and the visual choices next to each other and asks whether they actually say the same thing — and that comparison rarely happens on its own.

How Centriu Vesper scores brand-strategy coherence

The engine reads the same branding and strategy fields a strategist already filled in inside Vesper — brand style, sensation, visual personality, sophistication level, desired and undesired perception, color and font declarations with their stated emotion and strategic function, documented critical errors to avoid, and per-channel application notes, on the branding side; positioning statement, territory, central promise, the "common enemy" the brand defines itself against, ideal-customer profile, value-proposition statement and differentiators, and message-house promise and pillars, on the strategy side. It is a pure, deterministic function with no generative-AI call inside the scoring logic itself — identical inputs always produce the identical result. The comparison runs across seven checks: coherence between declared style and territory (a "simple" style against a "premium" territory becomes a named misalignment; a style and territory that both signal innovation or premium become a named alignment), whether a color palette and typography actually exist to visually sustain a stated positioning, whether "how to be perceived" and "how not to be perceived" are both defined, and whether declared perceptions connect to the ideal-customer profile and to what the brand explicitly wants to avoid resembling. Two composite reads follow directly from that comparison: a coherence level — high, medium or low, based on the count of alignments versus misalignments — and a perception-strength level built from a separate checklist of what strengthens or weakens a brand's visual clarity (style and personality both defined, at least three colors with a declared emotion, at least two fonts, both desired and undesired perception declared, at least three documented critical errors). From there the engine produces a named list of risks (each with a cause, an impact and a recommendation), a named list of contradictions (a conflict, an explanation, an impact and a correction — sophistication declared as premium but style described as casual is one; a serif-plus-display font pairing with no supporting neutral typeface is another), a gap analysis comparing the declared intention against the probable resulting perception with its own severity level and cause, and a prioritized list of up to five levers — the specific actions estimated to have the highest impact on closing the gap, each tagged with an urgency. Five numeric dimensions, each scored 0 to 10 on fixed point rules, roll up into one overall score: Clarity (built from whether style, desired perception, three-second impression and core sensation are declared), Differentiation (visual personality, what to avoid looking like, documented critical errors, undesired perception), Coherence (the alignment-minus-misalignment count from the check above), Visual Strength (color count, font count, declared style, sophistication level) and Consistency (application guidance declared across Instagram, ads, website and WhatsApp, plus the absence of unresolved contradictions). A separate data-completeness percentage, built from a fixed sixteen-field checklist, drives an explicit confidence label — low, medium or high — attached to the whole analysis, so a score built from a mostly-empty branding record is labeled exactly as uncertain as it actually is.

What is actually built today

  • A pure, deterministic scoring function with no generative-AI call in the analysis path — the same branding and strategy inputs always produce the identical score and findings.

  • Five numeric dimensions, each 0-10 on fixed point rules — Clarity, Differentiation, Coherence, Visual Strength, Consistency — rolled up into one overall score with a plain-language interpretation.

  • A named list of risks, each carrying its cause, its impact and a specific recommendation, not just a generic warning.

  • A named list of contradictions between declared attributes — sophistication level versus visual style, conflicting typography pairings — each with an explanation and a correction.

  • A gap analysis comparing the declared intended perception against the probable resulting perception, with its own severity level, cause and adjustment.

  • A prioritized list of up to five levers, each explaining why it is high-impact, what specifically it improves, and its urgency.

  • A data-completeness percentage built from a fixed sixteen-field checklist, driving an explicit low/medium/high confidence label attached to the entire analysis.

  • A structurally separate engine from Vesper's general cross-block consistency checker — this one compares branding specifically against strategy; the other compares every strategy block against every other strategy block.

What changes operationally

A brand-strategy disagreement stops depending on someone happening to notice it during a review meeting and instead gets named the moment enough data exists to compare — with a specific cause and a specific correction attached, not a vague sense that "something feels off." A team gets a ranked list of what to fix first instead of an undifferentiated pile of branding tasks. And a score built on a half-empty record is labeled low-confidence rather than presented with the same authority as one built on a complete profile.

  • A brand-strategy disagreement stops depending on someone happening to notice it during a review meeting and instead gets named the moment enough data exists to compare — with a specific cause and a specific correction attached, not a vague sense that "something feels off." A team gets a ranked list of what to fix first instead of an undifferentiated pile of branding tasks. And a score built on a half-empty record is labeled low-confidence rather than presented with the same authority as one built on a complete profile.

A premium positioning meets an unfinished palette (illustrative scenario, not a real client)

A project declares its positioning as "premium, for a discerning, exclusive clientele" and fills in a detailed ideal-customer profile and value proposition. The branding side is thinner: a brand style described only as "clean and simple," no colors entered yet, one font selected with no declared role.

The engine flags a specific misalignment — a style that reads as simple against a territory that reads as premium — and a specific risk: "posicionamento definido mas sem paleta de cores para sustentar visualmente," a positioning defined with no color palette to visually carry it. The gap analysis reads the probable perception as weaker than the declared intention, with the cause named plainly: missing fundamental visual elements. Data completeness lands under 40%, so the whole analysis carries a "media" confidence label rather than presenting a precise-looking score built on a mostly-empty record. The top lever surfaced is exactly the gap the record shows: "Criar paleta estratégica de cores," building a color palette with real strategic intent, flagged as high urgency.

A premium positioning meets an unfinished palette (illustrative scenario, not a real client)

Como começar

Perguntas frequentes

Does an AI model decide the coherence score?

No — the scoring engine is a pure, deterministic function over fixed rules. A separate feature (AI-assisted filling) can help populate the underlying branding and strategy fields, but it does not run the coherence comparison itself.

What five dimensions make up the overall score?

Clarity, Differentiation, Coherence, Visual Strength and Consistency, each scored 0 to 10 on fixed point rules and rolled up into one overall number with a plain-language interpretation.

What does a "contradiction" finding actually look like?

A named conflict between two declared attributes — for example, a premium sophistication level paired with a visual style described as casual or simple — with an explanation of the impact and a suggested correction.

Why does the analysis carry a confidence label?

Because the score is only as reliable as the data behind it. A data-completeness percentage, based on a fixed sixteen-field checklist, drives an explicit low, medium or high confidence label attached to the whole result.

Is this the same engine that checks consistency across Vesper's other strategy frameworks?

No — that is a separate, more general engine comparing every strategy block against every other block. This engine is scoped specifically to branding declarations against strategy declarations.

Can this analysis run with no strategy declared yet?

It runs, but with much less to compare against — most of the coherence and gap checks depend on strategy fields like positioning and ideal-customer profile actually being filled in.

What does Centriu Vesper cost?

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

See how Centriu Vesper scores brand-strategy coherence

A brand can declare a premium positioning in one document and describe its own visual style as "simple and casual" in another, and nothing forces anyone to notice the two disagree until a client asks why the website does not feel premium. Centriu Vesper runs a deterministic, rule-based engine — no AI model's judgment involved — that compares a project's branding declarations (style, colors, fonts, desired perception) directly against its strategy declarations (positioning, ideal customer, value proposition, message pillars), and scores the agreement across five fixed dimensions: Clarity, Differentiation, Coherence, Visual Strength and Consistency. The output names specific risks and contradictions in plain language — "colors defined with no strategic function," "premium positioning paired with a casual, simple visual style" — plus a prioritized list of the levers most likely to close the gap, and every score carries a confidence level tied explicitly to how much of the underlying branding and strategy data was actually filled in.