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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.

Waar projecten falen

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.

Compliance

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.

Wat we bouwen

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

Ons proces

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

Veelgestelde vragen

Hoeveel kost AI-integratie?

De prijsstelling is redelijk eenvoudig zodra we uw scope kennen. Een eenvoudige AI-chatbot verbonden met uw website en FAQ-database kost €8.000 tot €15.000. AI aansluiten op één systeem -- uw CRM of Shopify-winkel -- kost €15.000 tot €40.000. Multi-systeemintegratie over 3 tot 5 tools met workflowautomatisering kost €40.000 tot €100.000. Enterprise-implementaties met aangepaste RAG, meerdere afdelingen en nalevingsvereisten variëren van €100.000 tot €250.000. Allemaal tegen vaste prijs na een 1-week discovery sprint. Geen verrassingen bij uurtarief.

Welke systemen kunt u aansluiten op AI?

Eerlijk gezegd: als het een API of een database heeft, kunnen we AI eraan aansluiten. In productie hebben we Claude en ChatGPT geïntegreerd met Shopify, Salesforce, HubSpot, Slack, SAP, Oracle, PostgreSQL, MongoDB, Epic, Cerner, FedEx, DHL, Stripe, Twilio en tientallen anderen. Aangepaste ERP's die niemand buiten uw branche heeft gehoord? Meestal prima. De vraag is niet echt of we uw systeem kunnen aansluiten -- het is wat het waard is om eerst aan te sluiten.

Hoe verschilt dit van gewoon ChatGPT gebruiken?

ChatGPT uit de doos weet niets over uw bedrijf. Het kent uw klanten niet, uw inventaris niet, uw prijzen niet of uw beleidsregels niet. Onze integraties verhelpen dit door AI rechtstreeks aan te sluiten op uw werkelijke gegevensbronnen in real-time. Dus in plaats van dat een verpleegkundige patiëntgegevens in een chatvenster kopieert en hoopt dat de AI nuttige uitvoer geeft, zegt ze gewoon "plan een vervolgafspraak in met Dr. Patel" -- en de AI controleert de Epic-agenda, vindt de donderdag-slot en boekt deze. Dat is het verschil.

Is mijn data veilig met AI-integratie?

Ja, en dit nemen we serieus. Alle gegevens blijven in uw infrastructuur. We gebruiken de Claude API met encryptie op ondernemingsniveau -- niet het consumentenproduct ChatGPT. Voor klanten in de gezondheidszorg bouwen we HIPAA-compatibele systemen met ondertekende BAA's. Voor financiële klanten volgen we FCA-, SEC- en PCI DSS-vereisten. AI verwerkt gegevens in het geheugen en slaat deze niet tussen sessies op. Uw gegevens verlaten uw systemen niet.

Hoe lang duurt AI-integratie?

De tijdlijnen hangen af van de scope, maar hier is een realistische uitsplitsing: een eenvoudige AI-chatbot is 2 tot 3 weken. Integratie met één systeem -- bijvoorbeeld AI aansluiten op uw CRM -- duurt 3 tot 4 weken. Multi-systeemintegratie met workflowautomatisering duurt 6 tot 10 weken. Enterprise-implementaties met nalevingsvereisten en teamtraining duren 10 tot 16 weken. En u ziet werkende demo's elke week, niet alleen aan het einde.

Kan AI echt actie ondernemen of alleen vragen beantwoorden?

Beide, en het onderscheid is belangrijk. We bouwen AI-agenten die werkelijke acties in uw systemen uitvoeren -- afspraken boeken, CRM-records bijwerken, retourzendingen verwerken, e-mails verzenden, zendingen omleiden, rapporten genereren. Met behulp van MCP-protocol en functieaanroepen doet de AI niet alleen alsof wat zou moeten gebeuren. Het voert de workflow daadwerkelijk uit. Met human-in-the-loop-controles voor alles wat gevoelig is, dus u bent nooit helemaal blind aan het vliegen.

Welke AI-modellen gebruikt u?

We gebruiken primair Claude API van Anthropic -- het is echt beter voor redenering, instructievolging en omgang met lange contextvensters dan de meeste alternatieven. Voor specifieke use cases brengen we ook OpenAI's GPT-4o. Documentverwerking en semantisch zoeken draaien op pgvector-embeddings. Spraakintegraties gebruiken ElevenLabs. We zijn niet aan één leverancier gebonden, wat belangrijk is -- omdat het juiste model voor een gezondheidszorgsysteem voor het inplannen van afspraken in Boston niet noodzakelijk hetzelfde is als het juiste model voor een e-commerce-retouren-workflow in Austin.

Biedt u AI-integratie voor agencies om white-label aan te bieden?

Ja, en het is een schoon businessmodel voor agencies die AI willen aanbieden zonder zelf een AI-praktijk op te bouwen. U verkoopt de AI-functies onder uw eigen merk aan uw klanten. We bouwen de integraties, verbinden de systemen en verwerken alle technische complexiteit aan de achterkant. U verkoopt en ondersteunt de klantrelatie. De typische marge voor agencies is 40 tot 60 procent. We hebben white-label AI-oplossingen gebouwd voor agencies met 50 of meer klanten -- het schaalt goed als het model eenmaal is ingesteld.

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