WAAC

AI Operating System

Is your company ready to run AI across the entire operation?

We design AI-First Operating Systems that connect people, processes, documents, APIs and intelligent agents in one operational architecture.

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The problem

Disconnected tools, manual work, and AI used only in ChatGPT — no operational scale.

Today

  1. 01Pessoa
  2. 02Sistema
  3. 03Planilha
  4. 04E-mail
  5. 05ERP
  6. 06CRM
  7. 07WhatsApp
  8. 08Documento
  9. 09Outro sistema

AI-First

  1. 01Pessoa
  2. 02Agente IA
  3. 03Todos os sistemas
  4. 04Automação
  5. 05Monitoramento
  6. 06Aprendizado

What is an AI-First Operating System?

Not isolated software, a chatbot, or point automation. An intelligent layer for orchestration, context, memory, decision and execution.

  • — Not a chatbot
  • — Not isolated RPA
  • — Does not replace ERP/CRM overnight
  • → Process and agent orchestration
  • → Corporate memory and context
  • → Assisted decision and execution
  • → Governance and observability

Operating system components

  • Memória corporativa

    Conhecimento centralizado e recuperável.

  • Agentes especializados

    RH, Financeiro, Jurídico, Vendas, Suporte, Marketing, Compliance, Operações.

  • Integrações

    ERP, CRM, APIs, bancos, cloud, WhatsApp, e-mail, Teams, Slack, documentos.

  • Orquestração

    Fluxos, eventos, triggers e workflows.

  • Observabilidade

    Logs, métricas, custos, tokens, performance e segurança.

  • Governança

    Permissões, LGPD, auditoria e versionamento.

  • Base de conhecimento + RAG

    Documentos, normas e busca contextual.

  • MCP e multi-agent

    Integração padronizada e agentes trabalhando em conjunto.

Use cases

  • Atendimento
  • Financeiro
  • Comercial
  • RH
  • Suporte
  • Operações
  • Jurídico
  • Marketing
  • Compliance
  • Qualidade
  • Compras
  • Backoffice

Architecture

  1. 01Usuários
  2. 02Portal
  3. 03AI Gateway
  4. 04Router
  5. 05Agentes
  6. 06Memória
  7. 07Vector DB
  8. 08Banco
  9. 09ERP / CRM / APIs / Cloud
  10. 10Monitoramento

Capabilities

  • Memória de longo prazo e de sessão
  • Planejamento e execução
  • Ferramentas e APIs
  • Documentos e raciocínio
  • Workflows e múltiplos agentes
  • Escalabilidade, observabilidade e segurança

Benefits

  • Redução operacional
  • Escalabilidade sem custo linear de headcount
  • Menos retrabalho
  • Padronização
  • Resposta mais rápida
  • Integração total
  • Melhores decisões
  • Operação 24/7

How we implement

  1. 01

    Descoberta

    Mapeamento da empresa e do contexto operacional.

  2. 02

    Diagnóstico

    Identificação dos processos e oportunidades de agentes.

  3. 03

    Arquitetura

    Definição da plataforma, memória, gateway e governança.

  4. 04

    Desenvolvimento

    Construção dos agentes e workflows.

  5. 05

    Integração

    Conexão com sistemas legados e APIs.

  6. 06

    Evolução

    Melhoria contínua com observabilidade.

Technologies

LLMs

GPT · Claude · Gemini · Llama · Mistral · DeepSeek

Frameworks

LangGraph · CrewAI · OpenAI Agents · AutoGen · Semantic Kernel · ADK

Infra

Docker · Kubernetes · AWS · Azure · GCP

Vector

pgvector · Qdrant · Weaviate · Pinecone · Milvus

Mensageria

Kafka · RabbitMQ · SQS

Observabilidade

OpenTelemetry · LangFuse · Grafana · Prometheus

Security

LGPD · RBAC · Auditoria · Criptografia · Gestão de segredos · Controle de acesso · Monitoramento

FAQ

Do we need to replace current systems?
No. An AI-First Operating System integrates with existing systems and evolves incrementally.
How long does implementation take?
It depends on scope. We start with diagnosis and continuous delivery, often with a 90-day roadmap.
Can you integrate with ERP?
Yes — ERP, CRM, APIs, messaging and document stores via connectors and MCP.
Can we use local models?
Yes, when privacy, latency or cost require it — with the same governance layer.
How does security work?
RBAC, audit, encryption, secrets management and monitoring from day one.
Can we start small?
Yes. Incremental implementation with continuous delivery and measurable operational value.
How does AI learn about our company?
Through corporate memory, knowledge base, RAG and operational context connected to systems.
How do you avoid incorrect answers?
With grounding in official sources, controlled tools, evaluation and response observability.

You already have the data. You need the architecture.

Request an AI-First diagnosis and learn how to build an Intelligent Operating System for your organization.

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