A sales rep gets a call from a long-time customer asking about lead times on a specific product configuration. To answer, they need to check inventory in the ERP, look up the customer's price history in the CRM, and verify production capacity with operations. Three systems, fifteen minutes, and the customer is still waiting.
Meanwhile, the company pays for Microsoft 365 with Copilot. But Copilot cannot help because it has no idea what products they sell, what is in stock, or who this customer is.
This is the gap we close.
What we do
We connect your existing AI tools - Microsoft Copilot or ChatGPT Enterprise - to the systems that hold your actual business data. After that, your team can ask questions in plain language and get real answers about your products, inventory, customers, and orders.
No new software to learn. No change to how people work. The AI they already have access to simply becomes useful for their actual job.
What this looks like in practice
Here are the kinds of questions your team could ask - and actually get answered:
"What is our current stock on product SKU-4521 across all locations?"
Pulls real-time inventory from your ERP
"When did Acme Corp last order from us, and what did they buy?"
Looks up customer history from your CRM
"What is the lead time if we need to produce 500 units of the X200 series?"
Checks production capacity and current schedule
"Which products are running below safety stock right now?"
Analyzes inventory levels against thresholds
"Show me the technical specs for the M-series and compare to this RFQ."
Retrieves product documentation and does the comparison
These are not hypothetical. This is exactly what becomes possible when the AI can actually access your business systems.
Systems we typically connect
ERP / Business System
Inventory, orders, pricing, production data
CRM
Customer records, quotes, sales history
Product Information
Specs, configurations, technical docs
Warehouse / Logistics
Stock by location, shipments, delivery tracking
The specific systems vary - we work with whatever you have. The goal is the same: make the data your team needs accessible through the AI interface they already use.
Who finds this most useful
Sales and customer-facing teams tend to see the biggest immediate impact. They spend a lot of time looking up information to answer customer questions - stock levels, lead times, order history, pricing. When that information is accessible through a simple question, response times drop significantly.
Operations and planning benefit from being able to ask ad-hoc questions about inventory, production status, and demand patterns without building reports or waiting for IT.
Management can get quick answers about business performance without scheduled reports. "How are we tracking against forecast in Germany this quarter?" becomes a question you can just ask.
Beyond answering questions
Once the AI has access to your systems, you can go further than just asking questions. You can start automating repetitive tasks that currently eat up hours across your team.
Some examples we see working well in manufacturing:
Quote preparation - Customer sends an RFQ, the AI pulls relevant product info, checks inventory, applies the right pricing tier, and drafts a quote for review.
Inventory monitoring - Instead of someone checking stock levels manually, the AI watches for products hitting reorder points and sends alerts with context.
Order status updates - When customers ask about their order, the AI can look up the status, check the delivery timeline, and draft a response automatically.
This kind of automation builds on the same connections. We usually recommend starting with the basic data access - let people get comfortable asking questions - and then identifying specific workflows worth automating based on where the time is actually going.
How we work
We start with a conversation to understand which systems matter and what questions your team would want to ask. This also helps us assess what is technically feasible - some systems are easier to connect than others, and we will tell you upfront what is realistic.
From there, we handle the technical work: setting up secure connections, configuring access controls, and testing thoroughly. A typical project takes 4-6 weeks, though this varies depending on the systems involved.
Pricing is project-based. Most projects fall in the EUR 10,000-40,000 range depending on scope. No subscriptions, no per-user fees. Once we build it, the integration is yours.
Worth exploring?
If you are curious whether this could work for your setup, we are happy to talk it through. No commitment, just an honest conversation about what is possible.