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AI Integration
Claude + ChatGPTMCP Protocol2-4 Week Delivery

AI Integration Services

Your AI Reads Prompts—But It Can't Read Your Customer Records

40%
Ops Cost Reduction
Typical AI workflow automation replacing manual content/data tasks
$0.003/1K
Claude Haiku Cost
Per token -- AI features affordable at scale on Anthropic API
6-16wk
Integration Timeline
AI feature build -- from spec to production including fine-tuning
$30-150K
Build Cost
AI-powered feature set integrated into existing platform
What AI Integration Actually Fixes—And What Copy-Paste Doesn't

Your sales rep opens ChatGPT, pastes in a customer email, asks for a reply draft, copies the output into Salesforce, then manually checks three other tabs to confirm inventory before hitting send. That's not automation—that's just more steps. AI integration connects Claude or ChatGPT directly to your CRM, ERP, Shopify, scheduling tools, and databases via secure APIs and Model Context Protocol. The AI reads your actual customer records, sees your real inventory counts, checks your live appointment calendar, and acts—books the slot, processes the return, updates the ticket, sends the notification. No copy-paste. No tab-switching. Your team asks a question, the AI pulls from your systems and does the work. This matters for regulated industries. Healthcare data stays encrypted with BAAs in place, built to HIPAA requirements. Financial integrations follow FCA and PCI DSS frameworks. Your data never leaves your infrastructure. AI processes in memory and doesn't store it. Same agentic architecture you see in enterprise deployments—scoped and priced for your business, not theirs.

Onde os projetos falham

Your team is copying data into ChatGPT and then manually pasting the results back into your actual systems It's the worst of both worlds -- you're doing extra work just to use a tool that's supposed to save you work. And honestly, that's not automation. That's just a different kind of manual labor with an AI in the middle.
Your AI chatbot can answer "what are your business hours?" But the moment a customer asks "where's my order?" or "can I book for Tuesday?" -- it falls apart And customers notice. Fast. Nothing kills trust in AI faster than a bot that sounds helpful but can't actually do anything useful.
You've got five systems -- maybe Salesforce, QuickBooks, a custom ERP, a scheduling tool, and Shopify -- and none of them talk to each other So when you ask AI for help, it's working completely blind. The recommendations it gives you are based on general knowledge, not your actual inventory numbers, your real customer history, or what's actually happening in your business today.
You called a traditional AI consulting firm and they quoted $500K and 12 months But here's the real kicker: by the time that project launches, your competitors will have had working AI for a full year. Markets move fast. That 12-month timeline isn't just expensive -- it's a competitive liability.
Your staff is burning roughly 3 hours every single day on admin tasks -- data entry, report pulling, status checks, routing emails That's 780 hours per year, per employee. For a team of five in Dallas or Denver or wherever you're based, that's nearly 4,000 hours annually. Gone. AI handles most of that in seconds.
So you tried building AI features in-house Your developers are smart -- but they've never built production AI integrations before, and there's no shame in that. It's a genuinely different discipline. The problem is that learning curve plays out on your live systems, with your real customer data. That's where security gaps appear, where edge cases get missed, and where things break in ways that are hard to explain to clients.

Conformidade

AI Customer Service

Imagine customer support that actually pulls up the order, checks your Shopify inventory, processes the return in Salesforce, and closes the ticket -- without ever transferring the customer to a human. That's what this looks like in practice. Claude-powered support connected directly to Shopify, Salesforce, HubSpot, and your ticketing system. It reads order history, checks inventory in real time, and resolves issues end to end.

AI Internal Assistant

Instead of digging through dashboards or waiting for your analyst to pull a report, you just ask. In Slack or your own dashboard -- "what were returns last week in the Chicago region?" or "summarize yesterday's sales call notes." Connected to your actual database, it pulls real answers. KPIs, documents, meeting summaries, report data -- all through plain language queries.

AI Workflow Automation

Most AI tools give you suggestions. This actually does the work. Books the appointment. Routes the lead to the right rep. Processes the claim. Updates the record in your CRM. Sends the notification. And for anything sensitive -- approvals, financial transactions, exceptions -- there's a human-in-the-loop control layer so nothing runs fully unsupervised unless you want it to.

RAG Document Intelligence

Got thousands of contracts, policy documents, procedure manuals, or compliance records sitting in folders? We ingest all of it into pgvector embeddings so your AI can run semantic search across the entire library. Ask a question, get a specific answer -- with citations back to the exact source document. No more "I think it's somewhere in the 2022 policy update."

AI Voice and Communication

Phone, SMS, email -- we connect AI across every channel your customers actually use. ElevenLabs voice integration for phone systems that sound natural, Twilio SMS for appointment reminders and follow-ups, AI-generated email responses tied to your real business logic. Not generic templates. Responses that know the customer's history, their open tickets, their last order.

Agentic Commerce

ChatGPT is increasingly how people shop. And if your Shopify product data isn't structured for AI to read and act on, you're invisible in those conversations. We optimize your product descriptions, data architecture, and Agentic Commerce Protocol setup so customers can literally buy through an AI conversation. It's a new channel -- and it's growing fast.

O que construímos

Reads your CRM, ERP, inventory, and scheduling systems in real-time via API

Your AI assistant sees Customer #4821 has two open tickets and hasn't reordered in 90 days—then acts

Books appointments, processes returns, updates records, and routes notifications autonomously

Your Chicago clinic's AI checks Epic, finds Dr. Patel's Thursday opening, and books the patient without staff intervention

Deploys in 2–4 weeks with working demos every week—not 12-month consulting timelines

Your team stops burning 780 hours per year per employee on data entry and status checks

Maintains HIPAA, FCA, and PCI DSS compliance for regulated healthcare and finance workflows

Your contracts get drafted with your actual boilerplate, shipments reroute when FedEx flags delays

Runs as white-label for agencies—your brand, your clients, our engineering and support

Your agency clients pay you 40–60% margin while we build and maintain the integrations under your brand

Uses Model Context Protocol and function calling to act inside your systems, not just respond

Your AI processes insurance claims, analyzes return patterns, and automates workflows across your entire operation

Nosso processo

01

System Audit

We start by mapping what you've already got -- your tools, your APIs, your data flows, and where the actual pain is. Then we identify the highest-ROI integration opportunities, the ones that pay back fastest. You walk away from discovery with a concrete integration plan and a fixed-price quote. No vague estimates, no "it depends" non-answers.
Week 1
02

Connection Architecture

Before we build anything, you see exactly what we're building. We design the API connections, data pipelines, MCP server configuration, and security layers in a technical blueprint. You review it, ask questions, request changes, and sign off. Development doesn't start until you're confident in the plan.
Week 2
03

Build and Connect

We build the integration, connect it to your live systems, and test it with your real data -- not synthetic test cases. Everything gets deployed to a staging environment first so your team can interact with it, break it intentionally, and verify it handles your actual workflows before it touches production.
Week 3-4
04

Train and Tune

After the build, we don't just hand it over and disappear. We fine-tune AI responses, optimize prompts, and add edge case handling for the weird scenarios that always come up in real use. Your team tests with real situations. You give feedback. We refine until it's right.
Week 5-6
05

Launch + Monitor

Production deployment comes with error monitoring, usage analytics, and 30 days of free support -- because the first month is always where the interesting edge cases surface. After that, an ongoing optimization retainer keeps the system tuned as your business evolves and AI models improve.
Week 7-8
Claude APIOpenAISupabasepgvectorVercelElevenLabsTwilioStripeHubSpot APIShopify APISlack API

Perguntas frequentes

Quanto custa a integração de IA?

A precificação é bem simples uma vez que conhecemos seu escopo. Um chatbot de IA simples conectado ao seu site e banco de dados de FAQ custa de R$ 8.000 a R$ 15.000. Conectar IA a um único sistema -- seu CRM ou loja Shopify -- é de R$ 15.000 a R$ 40.000. Integração multi-sistemas abrangendo 3 a 5 ferramentas com automação de fluxo de trabalho custa de R$ 40.000 a R$ 100.000. Projetos enterprise com RAG customizado, múltiplos departamentos e requisitos de conformidade variam de R$ 100.000 a R$ 250.000. Tudo com preço fixo após um sprint de descoberta de 1 semana. Sem surpresas de faturamento por hora.

Que sistemas vocês conseguem conectar à IA?

Honestamente, se tem uma API ou um banco de dados, conseguimos conectar IA a isso. Em produção, integramos Claude e ChatGPT com Shopify, Salesforce, HubSpot, Slack, SAP, Oracle, PostgreSQL, MongoDB, Epic, Cerner, FedEx, DHL, Stripe, Twilio e dezenas de outros. ERPs customizados que ninguém fora da sua indústria conhece? Geralmente funciona. A questão não é realmente se conseguimos conectar ao seu sistema -- é o que vale a pena conectar primeiro.

Como isso é diferente de apenas usar ChatGPT?

ChatGPT pronto para usar não sabe nada sobre seu negócio. Não conhece seus clientes, seu inventário, seus preços ou suas políticas. Nossas integrações resolvem isso conectando IA diretamente às suas fontes de dados reais em tempo real. Então, em vez de uma enfermeira copiar informações de pacientes em uma janela de chat e esperar que a IA dê um resultado útil, ela só precisa dizer "agende uma consulta com o Dr. Patel" -- e a IA verifica o calendário do Epic, encontra o slot de quinta-feira e marca. Essa é a diferença.

Meus dados são seguros com integração de IA?

Sim, e isso é algo que levamos muito a sério. Todos os dados ficam em sua infraestrutura. Usamos a Claude API com criptografia de nível empresarial -- não o produto ChatGPT consumer. Para clientes de saúde, construímos sistemas em conformidade com HIPAA, com BAAs assinados e em vigência. Para clientes financeiros, seguimos os requisitos FCA, SEC e PCI DSS. A IA processa dados em memória e não os armazena entre sessões. Seus dados não saem de seus sistemas.

Quanto tempo leva a integração de IA?

Os prazos dependem do escopo, mas aqui está um cronograma realista: um chatbot de IA simples leva 2 a 3 semanas. Integração de sistema único -- conectar IA ao seu CRM, por exemplo -- leva 3 a 4 semanas. Integração multi-sistemas com automação de fluxo de trabalho leva 6 a 10 semanas. Implantações enterprise com requisitos de conformidade e treinamento de equipe levam 10 a 16 semanas. E você vê demos funcionando a cada semana durante todo o processo, não só no final.

A IA pode realmente tomar ações ou apenas responder perguntas?

Ambos, e a distinção importa. Construímos agentes de IA que tomam ações reais dentro de seus sistemas -- marcando compromissos, atualizando registros de CRM, processando devoluções, enviando e-mails, redirecionando envios, gerando relatórios. Usando protocolo MCP e function calling, a IA não apenas conversa sobre o que deveria acontecer. Ela realmente executa o fluxo de trabalho. Com controles human-in-the-loop para qualquer coisa sensível, então você nunca está completamente no escuro.

Que modelos de IA vocês usam?

Usamos principalmente a Claude API da Anthropic -- é genuinamente melhor em raciocínio, seguimento de instruções e tratamento de janelas de contexto longas do que a maioria das alternativas. Para casos de uso específicos, também trazemos GPT-4o da OpenAI. Processamento de documentos e busca semântica rodam em embeddings pgvector. Integrações de voz usam ElevenLabs. Não estamos presos a um único fornecedor, o que importa -- porque o modelo certo para um sistema de agendamento de saúde em Boston não é necessariamente o modelo certo para um fluxo de devolução de ecommerce em Austin.

Vocês oferecem integração de IA para agências fazerem white-label?

Sim, e é um modelo de negócio limpo para agências que querem oferecer IA sem construir uma prática de IA do zero. Você vende os recursos de IA para seus clientes sob sua própria marca. Construímos as integrações, conectamos os sistemas e tratamos de toda a complexidade técnica no back end. Você vende e oferece suporte ao relacionamento com o cliente. A margem típica de agência é 40 a 60 por cento. Construímos soluções de IA white-label para agências com 50 ou mais clientes -- escala bem uma vez que o modelo está pronto.

AI Integration From $8,000
Chatbot to enterprise. Fixed-price after a 1-week discovery sprint.
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