AI automation services

AI automation services rebuild the repetitive, high-volume work your team does by hand — invoice entry, order processing, reconciliation, data moved between tools — as agents and workflows wired to your real systems. Unlike rule-based RPA, AI handles the steps that need judgment, with a human in the loop where it counts and an audit trail of every action. You're measured on task-time saved against a manual baseline, not features shipped.

A first production workflow is a fixed-price project, typically between a few thousand and a few tens of thousands of euros; our packaged AI agents start at a one-off setup of €1,500 per agent for one workflow. The number moves with the systems involved, the quality of their APIs and the exception rate — not the model. Most single workflows reach production after two to four weeks of build. After go-live it's a fixed monthly fee if we operate it, or nothing extra if your team owns it. No per-task charges.

There isn't one best platform — there's a right one per workflow. n8n covers most business process automation and can be self-hosted; Zapier and Make suit simple SaaS-to-SaaS triggers; Power Automate fits companies already on Microsoft 365; RPA tools such as UiPath are for systems with no API. When volume, latency or compliance push past what a platform handles cleanly, custom code wins. Pick the tool after mapping the process, never before.

Pick one high-volume workflow that hurts and measure it: minutes per case times cases per week. Map it step by step and mark which steps need judgment. Automate the mechanical steps, run the automation in parallel with the manual process on real cases, and only hand over what it gets right. Measure task-time saved against the baseline, then choose the second workflow. A 30-minute process call with an engineer is enough to pick the first one.

We won't automate a broken process — fixing it first is usually the bigger win, and we'll say so before you spend money on a build. We won't take a person out of a decision that needs judgment just to claim it's fully autonomous. And if the volume is too low to ever pay back the build, we'll tell you it's not worth automating.

They overlap and often run together; the difference is the job to be done. Automation takes an existing internal, repetitive workflow and makes software do it, measured in task-time saved. AI agents (under Solutions) are customer- or domain-facing agents packaged for a specific industry. Custom AI development builds a new product or feature you ship to your users. Integration is the capability of connecting AI to your systems — automation uses it to do a specific job end to end. If you're not sure which you need, that's what the first call is for.

That's why we run it in parallel before trusting it and build real error handling, exception routing and monitoring rather than a happy-path script. When a source system changes, the automation raises an exception to a human instead of silently writing garbage. And there's a named owner after go-live, so when maintenance is needed it's clear who fixes it. Senior engineers build it — no juniors, no handoffs.

Yes. Our AI chatbot development services design, build and ship conversational assistants connected to your systems. We ground each one in your data so it answers from your real content, wire it into your tools so it can act — look up an order, update a record, open a ticket — and add guardrails plus a handoff to a person. You get a working assistant in production on your website, WhatsApp or internal tools, not a demo.

It depends on three things: how many systems the chatbot reads from and writes to, how many channels it runs on, and how much of your content needs cleaning before it can answer reliably. A single-workflow assistant on a clean knowledge base sits at the low end — our packaged AI agents start at a one-off setup of €1,500 per agent. A chatbot that acts across a CRM, an ERP and WhatsApp is scoped as a fixed-price project, with a ceiling on running cost per conversation.

A rule-based chatbot follows a fixed decision tree. It only handles the paths someone scripted, and anything off-script breaks or dead-ends. The assistants we build understand the request in plain language, retrieve the right context from your data, and act in your tools to finish the task. They handle cases nobody scripted, escalate to a person when they're unsure, and improve as you refine the data and guardrails behind them.