techone --ai-automation
Automation you don't have to wire up by hand
Power Automate, Zapier, Make - they work. But you build every integration by hand, fix it by hand, and the maintenance bill adds up. With AI and MCP, you say what you need and the systems do it.
What changed
AI automation is a way of running business processes where instead of manually configured workflows you give instructions in natural language and AI executes them through connections to your systems.
For the past 10 years, business process automation looked the same. Open Power Automate, Zapier or Make. Pick a trigger: "when an email with an invoice arrives". Add an action: "extract the attachment". Another action: "send to ERP". A condition: "if the amount exceeds 50,000, route for approval".
It works. But it has three problems.
First, you build every workflow from scratch. Connecting an e-shop to ERP is a different workflow than processing invoices. And different from syncing inventory. Each needs its own trigger, actions and conditions. For 10 processes you have 10 workflows, each with dozens of steps.
Second, maintenance. A supplier changes their invoice format. An API gets updated. The ERP gets a new version. The workflow breaks and you find out when the accountant calls to say invoices haven't come through for three days.
Third, non-standard scenarios. A customer sends an invoice as a scanned email attachment. Another sends it as Excel. A third calls and dictates it. Power Automate can't handle this because it doesn't understand context. It only does exactly what you configured.
How MCP works
MCP stands for Model Context Protocol - an open standard that lets AI connect directly to business systems. ERP, warehouse, email, files, databases. AI doesn't need a pre-built workflow. It needs access to systems and instructions on what to do.
Simply put: MCP is a bridge between AI and your systems. Instead of "set up a trigger, condition, action" you say "process today's mail". AI connects to email, reads attachments, validates data against your ERP and routes it for processing.
The difference from traditional automation:
- Power Automate - "When an email arrives with a PDF attachment, extract field Invoice Number from row 3, field Amount from row 12, verify tax ID in the registry, create a record in the Purchase Invoices table with values..."
- AI + MCP - "Process today's mail."
Same result. Fundamentally different path.
Traditional automation vs AI + MCP
| Power Automate / Zapier | AI + MCP | |
|---|---|---|
| Setup | Configure triggers, conditions, and actions for each process | Connect AI to systems once, then say what you need |
| Maintenance | API or format changes break the workflow | AI adapts - understands context, not just rules |
| Non-standard inputs | Invoice in a different format = error | AI reads PDF, scan, Excel and email |
| New process | New workflow from scratch (hours/days) | New command in minutes, but testing and tuning remains |
| Reporting | A dashboard you have to open and interpret | Ask a question and get an answer |
| Cost | License + setup time + maintenance time | MCP server + AI credits (pay as you go) |
| Voice control | No | Yes |
Where it makes the biggest difference
We don't automate for the sake of technology. We do it where it saves real time and money. Here are the areas where we see the biggest shift.
Sales and CRM
"What's the status of the proposal for client X?" - answer from CRM in seconds, without opening the system. "Prepare materials for tomorrow's meeting" - AI pulls collaboration history, open quotes, unpaid invoices and summarizes it on one page.
"Which proposals have been waiting for a response for more than 14 days?" - instead of filtering in CRM you get a list with contacts and amounts. Sales reps focus on business, not clicking through systems.
ERP and orders
"Which orders are running behind schedule?" - instant overview. "Create a purchase order for materials for order X" - AI assembles it, adds the right quantities and suppliers. "What are our margins for last quarter?" - numbers right away, no report to run.
Accounting and documents
Incoming documents (invoices, delivery notes, purchase orders) - AI reads, validates and routes them for review. No manual retyping. Outgoing documents created on command - "issue an invoice for client X for March" and it's done.
Marketing and web
AI connects to Search Console and Analytics via MCP, pulls data and runs a content audit. What people search for, which pages perform, which don't. Based on that, copy gets rewritten, structure adjusted, missing topics added. A continuous cycle: data → audit → on-site changes → better rankings.
Warehouse and logistics
"What's the stock level for item X?" - instant answer, no navigating menus and filters. "Which items dropped below minimum?" - a list with a suggested order.
FEFO checks (First Expiry, First Out) - AI verifies that goods with the shortest expiry leave the warehouse first. If not, it flags it. No manual report scanning.
IT and operations
Deploying a new version. Checking all servers are running. Backup status. Instead of opening an SSH session and reading logs, you ask "is everything OK?" and get an answer with specific numbers.
This runs in production on our projects. Monitoring, service health, database status - all through MCP. More about how we handle DevOps and infrastructure.
Manufacturing
"How much material do I need for order X?" - an MRP calculation that used to take several clicks through the manufacturing module. AI computes it on request.
"What's the machine utilisation this week?" - instead of a dashboard, you get a direct answer ready to share.
See what this looks like for your business
MCP opens possibilities that didn't exist before. Get in touch - we'll show you what it means for your business.
Learn moreWhat you need to get started
AI automation isn't for everyone. Here is what you need to have:
A system with an API - or without one. Dynamics 365, SAP, Salesforce, an e-shop - if they have an API, we connect AI directly. If they don't, we build one. With MCP we can integrate even systems that were never designed for it.
Defined processes. AI automates what you can describe. "Process an invoice" works because you know what it means: check the supplier, verify the amount, route for approval. If your processes aren't documented, we start with a process analysis first.
Data in digital form. Invoices in PDF, orders in email, data in ERP. If you have a filing cabinet full of paper invoices, digitization comes first.
Where it runs. The MCP server runs on your server or in your cloud. AI only receives what the MCP server sends it - and you decide what that is. No sending your entire database externally. For companies with strict requirements we offer a fully on-premise setup with a local AI model.
What you don't need: in-house AI experts or months of implementation. We connect the MCP server to your systems in days, not months. We handle ongoing maintenance and updates.
Voice control
MCP is a text-based protocol. We add voice control on top - you speak, AI listens, sends the command via MCP and reads the result back to you.
You're in a meeting and say: "Which orders are running behind schedule?" Answer from ERP in seconds, without opening a laptop.
You're in the warehouse: "Which items dropped below minimum?" A list with a suggested order on your phone.
You're driving: "How many unbilled hours do we have for March?" Numbers from ERP, without a single click.
AI understands language. MCP has access to your systems. We connect them.
FAQ
How much does AI automation with MCP cost?
It depends on the number of systems and the scope. Book a call - we'll walk through what makes sense to automate and give you a realistic cost range.
How long does deployment take?
The connection itself is fast - a matter of days. The main time goes into understanding your processes and testing. But the result is automation you would build much slower the traditional way - or not build at all.
Is it secure? AI has access to company data.
The MCP server runs on your infrastructure. You configure which data AI can access - read-only, specific modules, specific operations. Everything is logged and auditable.
What if AI makes a mistake?
Critical operations (creating invoices, ordering materials) include an approval step - AI prepares, a person confirms. For routine operations (reading data, reporting) AI works independently. If something goes wrong, the log shows what happened and why.
Do we have to replace our existing automation?
No. AI + MCP complements what you already have. Power Automate, Zapier, Make - workflows that work stay in place. You add AI where traditional tools fall short - non-standard inputs, voice control, data queries.
What is AI automation?
A way of running business processes where instead of manually built workflows you give instructions in natural language. AI executes them through connections to your systems (ERP, CRM, warehouse, email). Unlike traditional tools, it understands context and handles non-standard inputs.
What is MCP?
Model Context Protocol - an open standard for connecting AI to business systems. The MCP server runs on your infrastructure and gives AI access to data from ERP, CRM, warehouse and other tools. AI can then read data, create records or trigger processes based on your commands.
Where does the MCP server run?
On your infrastructure - your own server or cloud. You control what AI sees and what it doesn't. We also offer a fully on-premise setup with a local AI model.
Does it work with our system?
Yes. Systems with an API we connect directly. Systems without an API we integrate via database, files or custom protocol. We have experience with ERP, CRM, e-commerce platforms, accounting systems and internal tools.
Less clicking. More doing.
We'll show you where in your processes AI has the biggest potential. One call, specific proposals.
Book a call