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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.

프로젝트가 실패하는 이유

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.

컴플라이언스

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.

우리가 만드는 것

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

우리의 프로세스

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

자주 묻는 질문

AI 통합 비용은 얼마인가요?

범위를 알면 가격은 매우 명확합니다. 웹사이트와 FAQ 데이터베이스에 연결된 간단한 AI 챗봇은 $8,000~$15,000입니다. AI를 단일 시스템(CRM 또는 Shopify 스토어)에 연결하면 $15,000~$40,000입니다. 3~5개 도구에 걸친 워크플로우 자동화를 포함한 멀티시스템 통합은 $40,000~$100,000입니다. 맞춤형 RAG, 여러 부서, 규정 준수 요구사항을 갖춘 엔터프라이즈 구축은 $100,000~$250,000입니다. 1주일 발굴 스프린트 후 모두 고정 가격입니다. 시간당 청구 예상치 없음.

어떤 시스템에 AI를 연결할 수 있나요?

솔직히 말해서 API나 데이터베이스가 있으면 AI를 연결할 수 있습니다. 프로덕션에서 우리는 Claude와 ChatGPT를 Shopify, Salesforce, HubSpot, Slack, SAP, Oracle, PostgreSQL, MongoDB, Epic, Cerner, FedEx, DHL, Stripe, Twilio 및 수십 개의 다른 시스템과 통합했습니다. 업계 외에는 아무도 모르는 맞춤형 ERP? 대부분 괜찮습니다. 문제는 우리가 시스템에 연결할 수 있는지 여부가 아니라 먼저 무엇을 연결할 가치가 있는지입니다.

이것이 ChatGPT를 사용하는 것과 어떻게 다른가요?

기본 ChatGPT는 귀사의 비즈니스에 대해 아무것도 모릅니다. 고객, 재고, 가격 책정 또는 정책을 알지 못합니다. 우리의 통합은 AI를 실시간으로 실제 데이터 소스에 직접 연결하여 이를 수정합니다. 따라서 간호사가 환자 정보를 채팅 창에 복사하고 AI가 유용한 결과물을 제공하기를 바라는 대신, 그녀는 "Patel 박사와의 후속 진료를 예약하세요"라고 말하고, AI는 Epic 캘린더를 확인하고, 목요일 슬롯을 찾고, 예약합니다. 그것이 차이입니다.

AI 통합으로 데이터가 안전한가요?

예, 그리고 우리는 이를 진지하게 생각합니다. 모든 데이터는 귀사의 인프라에 남아 있습니다. 우리는 소비자 ChatGPT 제품이 아닌 엔터프라이즈급 암호화를 사용하는 Claude API를 사용합니다. 의료 클라이언트의 경우 BAA가 서명되고 실행 중인 HIPAA 준수 시스템을 구축합니다. 금융 클라이언트의 경우 FCA, SEC 및 PCI DSS 요구사항을 따릅니다. AI는 메모리에서 데이터를 처리하며 세션 간에 저장하지 않습니다. 귀사의 데이터는 시스템을 벗어나지 않습니다.

AI 통합에 얼마나 오래 걸리나요?

일정은 범위에 따라 다르지만 현실적인 분석은 다음과 같습니다. 간단한 AI 챗봇은 2~3주입니다. 단일 시스템 통합(예를 들어 AI를 CRM에 연결)은 3~4주 걸립니다. 워크플로우 자동화를 포함한 멀티시스템 통합은 6~10주입니다. 규정 준수 요구사항 및 팀 교육을 포함한 엔터프라이즈 배포는 10~16주 걸립니다. 그리고 끝에서만이 아니라 매주 작동 중인 데모를 볼 수 있습니다.

AI가 실제로 조치를 취할 수 있을까요, 아니면 질문에만 답할 수 있을까요?

둘 다이며, 구별이 중요합니다. 우리는 예약을 예약하고, CRM 기록을 업데이트하고, 반품을 처리하고, 이메일을 보내고, 배송을 재라우팅하고, 보고서를 생성하는 등 시스템 내에서 실제 조치를 취하는 AI 에이전트를 구축합니다. MCP 프로토콜과 함수 호출을 사용하여 AI는 무엇이 일어나야 하는지에 대해 채팅할 수 없습니다. 실제로 워크플로우를 실행합니다. 민감한 항목에 대한 휴먼인더루프 제어를 사용하므로 완전히 맹목적으로 비행하지 않습니다.

어떤 AI 모델을 사용하나요?

우리는 주로 Anthropic의 Claude API를 사용합니다. 대부분의 대안보다 추론, 명령 준수 및 긴 컨텍스트 창 처리에 훨씬 우수합니다. 특정 사용 사례의 경우 OpenAI의 GPT-4o도 도입합니다. 문서 처리 및 의미론적 검색은 pgvector 임베딩에서 실행됩니다. 음성 통합은 ElevenLabs를 사용합니다. 우리는 한 공급업체에 잠기지 않으므로 중요합니다. 보스턴의 의료 일정 시스템에 적합한 모델이 오스틴의 전자상거래 반품 워크플로우에 반드시 적합한 모델은 아니기 때문입니다.

에이전시가 화이트라벨로 AI 통합을 제공하나요?

예, 그리고 AI 실무를 구축하지 않고 AI를 제공하려는 에이전시를 위한 깔끔한 비즈니스 모델입니다. AI 기능을 자신의 브랜드 아래로 클라이언트에게 판매합니다. 우리는 통합을 구축하고, 시스템을 연결하고, 백엔드의 모든 기술적 복잡성을 처리합니다. 클라이언트 관계를 판매하고 지원합니다. 일반적인 에이전시 마크업은 40~60%입니다. 우리는 50명 이상의 클라이언트를 보유한 에이전시를 위한 화이트라벨 AI 솔루션을 구축했습니다. 모델이 설정되면 규모가 잘 조정됩니다.

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