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AI Integration
Claude + ChatGPTMCP Protocol2-4 Week Delivery

AI集成服务

将AI连接到您的业务系统 -- 让它真正工作

18+
System Integrations
APIs in production
5,000+
Sites Built
12+ years experience
2-4 Wks
Typical Delivery
Working AI, not a prototype
95+
Lighthouse Score
Performance target
What Is AI Integration?

AI integration is the process of connecting artificial intelligence models like Claude and ChatGPT to your existing business systems -- CRM, ERP, ecommerce platform, databases, communication tools, and industry-specific software -- so the AI can actually read your real data, understand your business context, and take meaningful action. And that last part matters more than people realize. Here's the thing: most businesses are still using AI like it's a fancy search engine. You paste something in, you get something out, and then you manually apply it somewhere. That's not integration -- that's just a more expensive copy-paste. Real AI integration is different. It means your AI assistant knows that Customer #4821 in your Salesforce has two open tickets, a pending return on order #7734, and hasn't reordered in 90 days. It means when a patient calls your Chicago clinic, the AI can check their Epic record, see Dr. Patel has a Thursday opening, and book it -- without a human in the middle. It means your contracts get drafted with your actual boilerplate, your shipments get rerouted when FedEx flags a delay, and your claims get processed against your real policy data. This goes way beyond chatbots and content generation. We're talking about AI assistants that book appointments, process insurance claims, analyze return patterns, draft context-aware contracts, route shipments, and automate workflows across your entire operation. Not someday. Right now, for businesses with 10 employees or 10,000.

项目失败的原因

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.

合规

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.

我们构建的内容

AI That Reads Your Actual Data

This isn't a chatbot someone trained on your FAQ page for a weekend. It's an AI assistant with a live connection to your database, your CRM, your inventory, and your business systems -- via secure API connections and MCP protocol. Real-time context means real-time answers. When something changes in your system at 2pm, the AI knows at 2pm.

Actions, Not Just Answers

There's a big difference between AI that tells you what to do and AI that actually does it. Our integrations do it. Books the appointment. Processes the return. Updates the record. Sends the notification. Generates the report. And for anything that warrants a human review -- contract approvals, large refunds, escalations -- configurable approval workflows make sure the right person stays in the loop.

2-4 Week Delivery, Not 12 Months

You don't need a 12-person consulting team with a 9-month runway. One senior architect, AI-accelerated development, working demos every single week. What firms in San Francisco quote as a 6-month engagement, we typically deliver in weeks. Fixed-price after discovery -- so you know exactly what you're getting and exactly what it costs before we write a line of code.

HIPAA, FCA, PCI DSS Compliant

Regulated industries aren't a problem -- they're something we've built for specifically. Healthcare data stays encrypted with BAAs in place, built to HIPAA requirements. Financial integrations follow FCA, SEC, and PCI DSS frameworks. AI processes data in memory and doesn't store it. Your data stays in your infrastructure, full stop.

White-Label for Agencies

If you're a WordPress or web agency, here's a real opportunity. You sell AI features to your clients under your own brand. We build the integrations, maintain the systems, handle the technical complexity. You take 40 to 60 percent margin on top. We've done this with agencies running 50+ clients, and it works cleanly. Your brand, your client relationship, our engineering.

MCP and Agentic Architecture

We use Model Context Protocol and function calling to build AI agents that don't just respond -- they act inside your systems autonomously. Same architecture you see in enterprise deployments at companies spending millions. But scoped and priced for SMBs. That's not a pitch -- that's just what MCP makes possible now, and we build with it every day.

我们的流程

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

常见问题

How much does AI integration cost?

Pricing is pretty straightforward once we know your scope. A simple AI chatbot connected to your website and FAQ database runs $8,000 to $15,000. Connecting AI to a single system -- your CRM or Shopify store -- is $15,000 to $40,000. Multi-system integration across 3 to 5 tools with workflow automation runs $40,000 to $100,000. Enterprise builds with custom RAG, multiple departments, and compliance requirements range from $100,000 to $250,000. All fixed-price after a 1-week discovery sprint. No hourly billing surprises.

What systems can you connect AI to?

Honestly, if it has an API or a database, we can connect AI to it. In production we've integrated Claude and ChatGPT with Shopify, Salesforce, HubSpot, Slack, SAP, Oracle, PostgreSQL, MongoDB, Epic, Cerner, FedEx, DHL, Stripe, Twilio, and dozens of others. Custom ERPs that nobody outside your industry has heard of? Usually fine. The question isn't really whether we can connect to your system -- it's what's worth connecting first.

How is this different from just using ChatGPT?

ChatGPT out of the box knows nothing about your business. It doesn't know your customers, your inventory, your pricing, or your policies. Our integrations fix that by connecting AI directly to your actual data sources in real time. So instead of a nurse copying patient info into a chat window and hoping the AI gives useful output, she just says "schedule a follow-up with Dr. Patel" -- and the AI checks the Epic calendar, finds the Thursday slot, and books it. That's the difference.

Is my data safe with AI integration?

Yes, and this is something we take seriously. All data stays in your infrastructure. We use the Claude API with enterprise-grade encryption -- not the consumer ChatGPT product. For healthcare clients we build HIPAA-compliant systems with BAAs signed and in place. For financial clients we follow FCA, SEC, and PCI DSS requirements. AI processes data in memory and doesn't store it between sessions. Your data doesn't leave your systems.

How long does AI integration take?

Timelines depend on scope, but here's a realistic breakdown: a simple AI chatbot is 2 to 3 weeks. Single-system integration -- connecting AI to your CRM, for example -- takes 3 to 4 weeks. Multi-system integration with workflow automation runs 6 to 10 weeks. Enterprise deployments with compliance requirements and team training take 10 to 16 weeks. And you see working demos every week throughout, not just at the end.

Can AI actually take actions or just answer questions?

Both, and the distinction matters. We build AI agents that take real actions inside your systems -- booking appointments, updating CRM records, processing returns, sending emails, rerouting shipments, generating reports. Using MCP protocol and function calling, the AI doesn't just chat about what should happen. It actually executes the workflow. With human-in-the-loop controls for anything sensitive, so you're never flying completely blind.

What AI models do you use?

We primarily use Claude API from Anthropic -- it's genuinely better for reasoning, instruction-following, and handling long context windows than most alternatives. For specific use cases we also bring in OpenAI's GPT-4o. Document processing and semantic search runs on pgvector embeddings. Voice integrations use ElevenLabs. We're not locked to one vendor, which matters -- because the right model for a healthcare scheduling system in Boston isn't necessarily the right model for an ecommerce returns workflow in Austin.

Do you offer AI integration for agencies to white-label?

Yes, and it's a clean business model for agencies that want to offer AI without building an AI practice from scratch. You sell the AI features to your clients under your own brand. We build the integrations, connect the systems, and handle all the technical complexity on the back end. You sell and support the client relationship. Typical agency markup is 40 to 60 percent. We've built white-label AI solutions for agencies with 50 or more clients -- it scales well once the model is set up.

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