Where AI Fails in Mid-Sized Companies and Where It Can Help Quickly

AI is meant to help amid skills shortages and rising cost pressure. In practice, it gets stuck in two places: the right starting point and the integration. We address both separately and clearly.

Why Implementation Often Fails

No Clear First Step

86 percent see AI as relevant, but only 23 percent implement it successfully. What's missing is the starting point.

Integration into Existing IT

65 percent name integration as the biggest hurdle. Tools that don't work together slow things down.

No Strategy, Tools Proliferate

Individual tools in individual teams, without a plan or prioritization. Where to start remains unclear.

Where AI Helps Quickly

Time Wasted on Routine Tasks

Sorting emails, answering inquiries, reviewing documents: the same tasks every day.

Manual, Error-Prone Processes

Data is entered multiple times and transferred manually. This costs time and leads to errors.

Knowledge Scattered and Hard to Find

Information sits in documents, emails, and systems. Employees search instead of working.

Sources: AI Study 2025 (455 companies) and IBM “Race for ROI” 2025 (500 executives).

Digital Assistants That Take Over Your Routine Work

AI assistants handle recurring tasks reliably and transparently.
This relieves your team and creates space for what truly matters.

Relief

Routine Handled Automatically

Answering inquiries, reviewing documents, transferring data: around the clock and without fatigue.

In practice:
The service assistant answers standard inquiries, while your team handles the tricky cases.

24/7
in use, results possible in 6 to 12 weeks
Integration

Built Into Your Existing IT

We connect AI to your existing systems instead of replacing them. This significantly reduces risk and effort.

In practice:
Wherever possible, we connect AI to CRM, ERP, or Microsoft 365. If a direct connection isn't possible, we find the best approach together.

0
forced system changes. Where a direct connection isn't possible, we advise on the best approach.
Security

Transparent and Compliant

GDPR-compliant, ISO-certified, on-premise upon request. Your team retains control over every decision.

In practice:
Classified under GDPR and the EU AI Act, adapted to your requirements. Taking into account the opportunities & risks for your company.

ISO
27001:2024 and 9001:2015 certified

Three Steps to AI in Your Company

Each step corresponds to a fixed offer, and each one is credited toward the next. This way, you proceed in a structured manner and without major risk.

1

Strategy and Current-State Assessment

In the AI Strategy Workshop or through the strategy paper, we create clarity: where AI brings the most value for you and which steps are worthwhile.

2

Implement the First Use Case as an MVP

We implement the most important use case as an MVP, integrate it into your existing systems, and test it with real data and your team.

3

Scale and Operate

Once the first assistant is running, we expand step by step, up to larger projects and the optimization of your IT.

How Digital Is Your Company? AI for Mid-Sized Businesses

Answer a few questions about your current situation and get an instant assessment, with no obligation.

Your Personal Digitalization Score

Concrete Quick Wins for a Fast Start

Risks You Should Keep in Mind Now

Recommendations Tailored to Your Situation

Start the Future Check Now

What Do Mid-Sized Companies Use AI For?
Proven Use Cases

Use cases from mid-sized companies, grouped by business area.
Each one can be started individually and expanded step by step.

Customer Contact and Service

Answer inquiries faster, reduce routine work in the inbox.

01
AI Service Assistant
Understands support inquiries, prioritizes them, prepares responses, and hands off to employees when needed.

Example: A mechanical engineering company receives many support e-mails every day. The assistant suggests suitable replies and creates a ticket when needed. Get Advice on This

02
Email and Backoffice Automation
Classifies emails, reads attachments, transfers data to CRM or ERP, and creates tasks.

Example: Incoming orders by e-mail are read automatically and transferred to the ERP instead of being typed in by hand. Get Advice on This

Sales and Marketing

Identify sales opportunities, never miss a follow-up, launch campaigns faster.

03
Sales Assistant and Predictive Selling
Prioritizes sales opportunities, suggests next steps, and makes CRM and quote data usable.

Example: Based on recent quotes and CRM notes, the assistant suggests which three customers most need a follow-up right now. Get Advice on This

04
Marketing and Campaign Assistant
Creates drafts for campaigns, copy, and posts based on your content and tone of voice.

Example: Coordinated drafts for a newsletter, LinkedIn and a landing page for a new product line are created in minutes. Get Advice on This

Documents and Knowledge

Review documents, make knowledge instantly available.

05
AI Document Assistant
Analyzes contracts, quotes, and invoices, summarizes them, and identifies deadlines and risks.

Example: At an insurance broker, the assistant reads incoming contracts, summarizes them and flags deadlines. Get Advice on This

06
Company GPT
An internal, privacy-compliant assistant built on your own company knowledge, with source citations.

Example: New employees ask about internal processes in natural language and receive an answer with a reference to the right document. Get Advice on This

07
Semantic Search
Finds content across documents and systems based on meaning, not just keywords.

Example: A search for "warranty for water damage" also finds documents that only mention "liability for moisture". Get Advice on This

Production and Data

Turn existing data into better maintenance, quality, and speed.

08
Production Data Analysis and Predictive Maintenance
Detects anomalies in machine and sensor data and provides dashboards for maintenance and quality.

Example: Sensor data from a production line is monitored. If a value deviates from the pattern, a dashboard warns you early. Get Advice on This

09
Process Automation
Automates recurring processes with clear rules or AI, robust and transparent.

Example: The monthly reporting run is automated and ready on the first working day. Get Advice on This

HR and Recruiting

Screen applications faster, answer standard questions automatically.

10
Applicant and Recruiting Assistant
Screens incoming applications, summarizes profiles, and answers standard questions from applicants.

Example: Incoming applications are prepared and pre-sorted according to the requirements profile. Get Advice on This

11
Employee Scheduling
Plans assignments, shifts, and routes based on availability, qualification, and priority.

Example: At a service provider, the assistant assigns incoming orders by skill and availability. Get Advice on This

These are just examples.

There are countless other solutions, and for every problem we find the right technology.

The first step is always to understand where your biggest leverage lies.
We clarify this together in a free initial consultation.

Free Initial Consultation

AI at a Fixed Price.
Your Path in Clear Packages:

Three steps that build on each other and are credited against one another. Directly bookable at a fixed price, with no lengthy quoting process.

1 Wissen aufbauen

AI Strategy Workshop

You build AI knowledge, determine your maturity level, and develop your own initial approaches, guided by our trainer.

€799 plus VAT

What's Included

8 hours of live instruction in one day

High hands-on component with direct implementation

Concrete first steps for your company

Detailed Content
Fundamentals: what AI can do for mid-sized companies today
Identifying meaningful use cases in your own company
Correctly assessing data protection, risks, and limitations
Developing and evaluating your own use cases
Who It's For

Management, IT and digitalization leads, and department heads who want a well-founded understanding of AI.

Format

Standalone training course, bookable independently of any project.

Direkt buchbar zum Festpreis
View Dates
3 Umsetzen

AI Pilot MVP

From concept to your first working assistant.

€4,900 plus VAT
Less €1,890 after the strategy paper

MVP stands for “Minimum Viable Product,” meaning the smallest meaningful version. We build the feature with the greatest benefit first
What's Included

Implementation of one prioritized use case

Integration into your existing systems

Testing with real data and your team

Detailed Scope of Services
Detailed concept for the selected use case
Development of the MVP
Connection to your existing systems
Joint testing and handover
Foundation for the later roll-out
Who It's For

Companies with a clear, prioritized use case who want a tangible result quickly.

Direkt buchbar zum Festpreis
Book Now

Project on Request

Additional software projects and the complete optimization of your IT. Price on request. We support you from analysis through development to operation.

Request a Project

All prices are plus statutory VAT. Detailed scope of services discussed in the initial consultation.

How Does an AI Project Work?
Our 5 Shared Steps:

Five steps, one team, one clear roadmap. You always know where your project stands.

1
Woche 0

Current-State Assessment

We analyze your data, processes, and systems, check compliance with GDPR and the EU AI Act, and select the most worthwhile use cases together with you.

›
2
Woche 1 bis 3

Concept and Costing

You receive a clear solution outline or prototype, a timeline with concrete budget figures, and a transparent, complete effort estimate as a basis for decision-making.

›
3
Woche 3 bis 12

MVP Development

We develop the functional core of your solution in short iterations and deliver the first tangible results in as little as 6 to 12 weeks.

›
4
ab Woche 12

Integration and Testing

We integrate the solution into your existing IT and test it with real data from your operations until everything runs reliably.

›
5
laufend

Go-Live and Support

We support the live operation, transfer knowledge to your team, and continue developing the solution together with you as needed.

Timeframes are typical values and depend on project scope.

Is AI GDPR-Compliant?
How We Deploy AI with Legal Certainty:

With over 23 years of software development, we build AI on a real foundation.
We only use AI tools like Claude, GitHub Copilot, and ChatGPT in a safeguarded way: no real personal data in the tools, training on your data disabled, operation in Germany, the EU, or on-premise upon request.

23+
Years of Experience
IT & Software Projects
25+
Developers
remote in Germany
2
ISO Certifications:
27001:2024 & 9001:2015
GDPR
External data protection officer (heyData)

How We Secure Every Data Transfer

Data Processing Agreement (DPA)A contract with every AI provider covering the processing, protection and deletion of your data.
EU Standard Contractual ClausesClauses approved by the EU Commission under Art. 46 GDPR, also for processing in the US.
Transfer Impact AssessmentRisk analysis of access by US authorities. Result for Claude and ChatGPT: low risk.
Data Privacy FrameworkGitHub Copilot is additionally certified under the EU-US Data Privacy Framework.
EU AI ActWe classify your application by risk level and document it in a traceable way.
Operation of Your ChoiceIn Germany, the EU or on-premise in your own infrastructure, depending on your protection requirements.

Our Content Hub

Blue arrow pointing right (link)
No items found.
No items found.
Agent Skills explained: how SKILL.md files extend Claude Code with knowledge and workflows.
07/2026

Skills in AI Software Development Explained

Blue arrow pointing right (link)
No items found.