Skip to content
Get in Touch

Service · AI Automation

AI Automation: Less Routine Work in Your Back Office

AI automation takes over recurring back-office tasks: sorting and answering emails, capturing documents via OCR, entering data into ERP and CRM, triggering workflows. We work out how much time that saves you on your actual process. At a fixed price after a free initial call, productive in 3-5 weeks.

Last updated:

  • fixed price Model
  • tailored Contract
  • free Initial call

Which processes can be automated with AI?

Processes with clear rules and high volume work best: classifying and routing inbound email, capturing invoices and delivery notes via OCR, maintaining master data in ERP/CRM, preparing quotes and reports. Rule of thumb: anything a person can grind through after a short briefing, an AI agent can take over.

  • Email routing and automatic reply drafts
  • Document capture (OCR) handed to accounting
  • Automatic ERP and CRM entries without media breaks
  • Workflow automation between your existing tools

What does AI process automation cost?

At ArkeonTech you receive a fixed-price offer for an automation agent after a free potential analysis: a one-off setup for process analysis, build and integration plus a monthly service for operation and maintenance. Start with the free potential analysis: we identify the process with the fastest return on investment.

ServiceIncluded
Potential analysis (20 min, free)Prioritising the processes with the fastest ROI
Setup (one-off)Process analysis, build, integration, testing
Operation (monthly)Hosting, monitoring, adjustments

How do I measure the ROI of automation?

Multiply hours per week by hourly rate: a process consuming 10 hours weekly costs about €23,400 per year at a €45 rate. Whether and when automating it pays off depends on the share of cases it takes over and on setup and running costs. In the free initial call we work through your specific case.

How does an automation project run?

Four steps: (1) free potential analysis with process prioritisation, (2) concept with a measurable target KPI, (3) build and integration into your systems within 3-5 weeks, (4) go-live with monitoring and ongoing optimisation in the service plan.

Which companies is AI automation suitable for?

Companies with 5 to 250 employees where a recurring back-office task permanently ties up staff - typically manufacturing, technical wholesale, financial advice and service providers with high document volumes. What decides it is not headcount but the individual task: the more often it recurs, the longer it takes and the rarer the exceptions, the sooner automation pays for itself. You can gather those three numbers without a consultant, and we work through them with you in the free initial call. Small teams benefit too: if three people each spend five hours a week on routine, that is close to two full working days.

  • Company size: 5 to 250 employees
  • A task that recurs often and costs time
  • Mostly rule-based; exceptions stay with a human
  • Typical sectors: financial advice, industry, retail, healthcare

When is AI automation the wrong solution?

When the process itself is unsettled. A workflow two departments disagree about does not become unambiguous through automation, only faster at being wrong - what is needed first is a decision, not a project. Tasks consisting almost entirely of exceptions are equally unsuitable: there you end up maintaining more special cases than you save time. Where a wrong decision would immediately endanger people or money, we automate the preparation but not the approval - the final signature stays with a human. And it takes systems with an interface: software without an API and without an export path can only be connected at a cost that usually eats the benefit.

Do you need to see a process on site to automate it?

With back-office processes, almost always. What the process description says and what actually happens rarely match: the spreadsheet running alongside the ERP, the folder of exceptions, the colleague who keeps three special cases in their head. Those deviations decide whether an automation works, and none of them appear in a document. So we start at the desk where the work happens. ArkeonTech is based in Aalen in Baden-Württemberg, and before founding it Michael Kaiser worked in ERP consulting for the region's mid-sized manufacturers, so these processes are familiar from practice rather than from theory.

Who is your point of contact?

Michael Kaiser, owner of ArkeonTech: business informatics (DHBW Heidenheim), B.Sc. Business Analytics (Aalen University), several years as an ERP consultant for mid-sized clients in mechanical engineering, retail and healthcare. He sits at the desk during the process walkthrough, builds the automation and maintains it under the ongoing service. You discuss your exception cases with the person who then models them - there is no sales or account layer in between.

Email: m.kaiser@arkeontech.de

FAQ

Frequently asked questions

No. The automation agent connects your existing systems (email, ERP, CRM, accounting) via APIs and webhooks. You keep your tools - only the manual work in between disappears.

All data flows run on EU servers under data processing agreements and are fully documented. Access follows the minimal principle: the agent only sees the data the process requires.

The agent recognises edge cases and hands them to a human for decision instead of guessing. Every action is logged and traceable - you stay in control.

Especially there: if 3 people each spend 5 hours a week on routine tasks, that is almost two full working days. Small teams feel the relief fastest.

A typical automation agent is productive in 3-5 weeks - including process analysis, integration and a test phase with your real data.

From three numbers you can gather without a consultant: how often the task runs per month, how long it takes, and what share of cases follow the rule without exception. Top of the list is the task that runs often, takes a long time and rarely has exceptions. Working out that table is what the free initial call is for.

Find the process with your fastest ROI

Free potential analysis: in 20 minutes we identify the task whose automation pays off first for you.

  • No obligation
  • 20 min call
  • GDPR compliant