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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.

プロジェクトが失敗する理由

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.

コンプライアンス

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.

構築する内容

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

私たちのプロセス

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

よくある質問

AI インテグレーションのコストはいくらですか？

スコープがわかれば、料金はかなり明確です。ウェブサイトと FAQ データベースに接続されたシンプルな AI チャットボットは $8,000 から $15,000。AI を単一システム（CRM や Shopify ストア）に接続するのは $15,000 から $40,000。3 ～ 5 つのツールにまたがるマルチシステム統合とワークフロー自動化は $40,000 から $100,000。カスタム RAG、複数部門、コンプライアンス要件を伴うエンタープライズビルドは $100,000 から $250,000。すべて 1 週間の discovery sprint 後の固定価格です。時間単価の請求サプライズはありません。

どのシステムに AI を接続できますか？

正直なところ、API またはデータベースがあれば、AI を接続できます。本番環境では、Claude と ChatGPT を Shopify、Salesforce、HubSpot、Slack、SAP、Oracle、PostgreSQL、MongoDB、Epic、Cerner、FedEx、DHL、Stripe、Twilio、その他多数と統合してきました。業界の外では誰も聞いたことのないカスタム ERP？通常は大丈夫です。本当の問題は、AI を接続できるかどうかではなく、まず何を接続する価値があるかです。

これは単に ChatGPT を使うのとどう違いますか？

ChatGPT は箱から出すと、あなたのビジネスについて何も知りません。顧客、在庫、価格設定、ポリシーについて知りません。私たちの統合は、AI をリアルタイムであなたの実際のデータソースに直接接続することでこれを修正します。だから、看護師が患者情報をチャットウィンドウにコピーして AI が有用な出力を出してくれることを望む代わりに、彼女は「Dr. Patel とのフォローアップをスケジュール」と言うだけです -- AI は Epic カレンダーをチェックして、木曜日のスロットを見つけて、予約します。それが違いです。

AI インテグレーションでデータは安全ですか？

はい、そしてこれは私たちが真剣に受け止めることです。すべてのデータはあなたのインフラ内に留まります。私たちは consumer ChatGPT 製品ではなく、エンタープライズグレードの暗号化で Claude API を使用しています。ヘルスケアクライアントの場合、BAA が署名されている HIPAA 準拠システムを構築します。ファイナンシャルクライアントの場合、FCA、SEC、PCI DSS の要件に従います。AI はメモリ内でデータを処理し、セッション間で保存しません。データはあなたのシステムを離れません。

AI インテグレーションにはどのくらい時間がかかりますか？

タイムラインはスコープによって異なりますが、ここに現実的な内訳があります：シンプルな AI チャットボットは 2 ～ 3 週間。単一システム統合（たとえば、AI を CRM に接続する）には 3 ～ 4 週間かかります。ワークフロー自動化を備えたマルチシステム統合は 6 ～ 10 週間実行されます。コンプライアンス要件とチームトレーニングを伴うエンタープライズデプロイメントには 10 ～ 16 週間かかります。そして、最後だけでなく、毎週実際のデモが表示されます。

AI は実際にアクションを取ることができますか、それとも質問に答えるだけですか？

両方です。そして、この違いは重要です。私たちは、あなたのシステム内で実際のアクションを取る AI エージェントを構築しています -- 予約を予約し、CRM レコードを更新し、返品を処理し、メールを送信し、出荷を再ルーティングし、レポートを生成します。MCP プロトコルと関数呼び出しを使用して、AI は何が起こるべきかについてチャットするだけではありません。実際にワークフローを実行します。敏感な事項に対する human-in-the-loop 制御を使用しているので、完全にブラインドで飛行することはありません。

どの AI モデルを使用していますか？

私たちは主に Anthropic の Claude API を使用しています -- これは推論、命令追従、長いコンテキストウィンドウの処理において、ほとんどの代替案よりも本当に優れています。特定のユースケースについては、OpenAI の GPT-4o も導入しています。ドキュメント処理とセマンティック検索は pgvector エンベディングで実行されます。音声統合は ElevenLabs を使用します。私たちは 1 つのベンダーにロックされていません。これは重要です -- ボストンのヘルスケアスケジューリングシステムに適切なモデルが、オースティンのイーコマース返品ワークフローに適切なモデルと必ずしも同じではないためです。

エージェンシーがホワイトラベル化するための AI インテグレーションを提供していますか？

はい。そして、これはスクラッチから AI 実践を構築することなく、AI を提供したいエージェンシーにとって優れたビジネスモデルです。あなたはあなた自身のブランドの下でクライアントに AI 機能を販売します。私たちはインテグレーションを構築し、システムを接続し、バックエンド上のすべての技術的な複雑性を処理します。あなたがクライアント関係を販売してサポートします。典型的なエージェンシーマークアップは 40 ～ 60 パーセントです。私たちは 50 以上のクライアントを持つエージェンシーのためにホワイトラベル AI ソリューションを構築してきました -- モデルが設定されると非常によくスケールします。

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