AI implementation for mid-sized businesses

AI that takes workoff your hands.

Prepare quotes, check invoices, find knowledge instantly: we put AI to work exactly where your team loses time today – and guide you from the first idea to everyday operations.

  • No obligation
  • Directly with the founder
  • Reply usually within 48 hours
How a task flowsIllustrative example
Email · Customer inquiry08:14

Inquiry: maintenance and training

Hello, we need maintenance for three machines and a training session for our team. Ideally by the end of October.

AI module at workMatch services, templates and approved prices

ResultReady for review

Draft quote

  • Item 1Maintenance · 3 machines
  • Item 2On-site training
  • Dateby end of October
  • QuestionConfirm machine type for the price rule

Source: Service catalog · price rules

Your team decides. You approve prices, scope and sending.

  • 85AI modules for concrete tasks
  • 10business areas – from sales to production
  • 4steps from idea to everyday use
  • 1personal point of contact throughout

Clients & partners

  • Börsenmedien AG
  • Plassen Buchverlage
  • DER AKTIONÄR
  • Stellar Development Foundation
  • Realiz
  • MultiversX

01From your task to a solution

Where does your team lose time today?

Pick what slows you down most. We show matching AI modules and the difference they make day to day.

Customer inquiries pile up and quotes take too long.

3 matching modules

Customers & salesModule 03

Quote preparation (German)

Today

Information is gathered by hand and quotes are rewritten from scratch.

With AI

From customer request to the right quote.Result: Draft quote

Customers & salesModule 01

Customer service assistant (German)

Today

The same questions are answered by hand again and again.

With AI

Help customers. Relieve your team.Result: Reply for review

Customers & salesModule 02

Phone and appointment assistant (German)

Today

Calls interrupt work or go unanswered.

With AI

Stay reachable. Coordinate appointments easily.Result: Appointment or call-back task

02Do the maths

Small task.
Big difference.

How much time goes into a recurring task? Set your own values and watch the result update live.

  • A transparent formula instead of promises
  • Net figures – necessary review time is deducted
  • In the pilot we measure with real cases
How we calculate value (German)
Your scenario
50hours per month
75working days per year
2.250 €capacity value per month
27.000 €capacity value per year

Example calculation, not a promise: capacity value shows what the freed-up time is worth on paper – not automatically a cost reduction. Implementation and running costs are not deducted. Working day = 8 hours.

Review this scenario with us

03Approach

Start small.
Grow with the value.

You do not need to transform everything at once. We start where the value is tangible – and expand what proves itself.

  1. Understand

    Together we look at your workflows, data and goals and choose the first use case that is truly worth it.

    ResultPrioritised use cases

  2. Build a pilot

    We implement a focused pilot and test it with real cases from your company.

    ResultA measurable before-and-after comparison

  3. Roll out

    We connect the solution to your existing systems. Your team learns to use it confidently and independently.

    ResultThe solution in everyday work

  4. Improve

    We measure value, improve quality and expand where it pays off.

    ResultExpansion based on impact

What you bring

You do not need a finished AI strategy.

  • One concrete task that costs time today
  • One contact person from your team
  • A few real examples from everyday work
Discuss the first step

04Our principles

Your team stays
in control.

AI should relieve your team, not unsettle it. That is why approvals, data protection and measurability are part of the solution from day one.

Principle no. 1

AI prepares.
People decide.

Binding commitments, payments and personnel decisions stay with your team. The module delivers the draft, flags anything unclear and hands over to the right person.

Data with a plan.

Before we start, we agree on data types, access rights, storage locations and providers. The AI only receives the information agreed.

Traceable.

Results with sources, flagged uncertainties and clear review steps: you can see where an answer comes from.

Measurable.

We agree on a baseline and a target before the pilot, so you can see whether it really pays off.

Fits your systems.

We are technology-agnostic and work with the software you already use – no complete overhaul.

Sascha Roehrer, founder and managing director of EnRo
Sascha RoehrerFounder & Managing Director

05Your point of contact

One counterpart.
From first question to live operation.

Sascha Roehrer personally guides your project as founder and managing director of EnRo. He turns technical possibilities into solutions that fit your business – and remains your direct point of contact.

  • deeptech INSIGHTSPodcast on technologies that change business – produced with Börsenmedien AG.

  • AuthorArticles for publications including FOCUS online, Finanzen100 and CHIP.

Industries we've worked in

  • Real Estate & Private Markets
  • Banking & Financial Services
  • Industrial Technology
  • B2B Software
  • Infrastructure & Energy
  • New Technology

06Insights

Good decisions
start with clarity.

All insights (German)

FAQ

The important questions first.

Your question is not listed? Write to us – we answer personally.

Ask a question
Do we need an AI strategy or in-house AI experts?

No. One concrete task that costs time today and one contact person from your team are enough to start. We bring the technical implementation and enable your team to use the solution themselves.

Do we have to replace our existing software?

Usually not. We first check how a module can connect to your existing environment. Whether an interface, an additional tool or an adjustment makes sense depends on your software and the chosen workflow.

What does implementation cost?

Implementation and operation depend on your data, interfaces, scope and review requirements. Once your use case is clear, you receive a concrete proposal. The first conversation is free of obligation.

How do we know whether it pays off?

We record the current effort and agree on a measurable target. A pilot with representative cases shows how time and quality actually change. Running costs and any rework are part of the assessment.

What happens to our data?

Before implementation, we clarify data types, access rights, storage locations and the providers involved. The module only receives the information agreed. For confidential content we define suitable technical and organisational measures.

How soon will we see first results?

That depends on the use case. We deliberately start with a focused pilot so you can see early on, with real cases, what works – and only then expand.

Which companies is this for?

Our modules are designed for established small and mid-sized businesses – from trades and retail to services and industry. What matters is not size but a recurring task with noticeable effort.

The next step

Where could we take work off your plate?

Tell us which task takes up too much time in your business. We will discuss openly whether and how AI can help.

  1. Describe the task in a few sentences.

    No preparation and no AI strategy required.

  2. We get back to you personally.

    Usually within 48 hours – directly from the founder.

  3. We agree on a sensible first step.

    No obligation: what is worth doing, what it takes and how we measure value.

Sascha RoehrerFounder & Managing Director, EnRoinfo@enro.solutions

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