Your AI Can't See Your Data. That's Why It Can't Do Your Job.
If you're a founder who's tried to build an AI workflow and hit the wall at 'how does it access Salesforce,' you've found the missing piece.
You use ChatGPT for drafting emails and brainstorming. But what if AI could read your CRM, check your inventory, book appointments, process insurance claims, and answer customers -- automatically? We connect Claude and ChatGPT to your existing business systems so AI stops being a chatbot and starts being an employee. Not a science project. Not a 6-month R&D initiative. A working AI integration in 2 to 4 weeks that plugs into the tools you already use.
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Frequently Asked Questions
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.
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.
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.
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.
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.
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.
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.
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.
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