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The 100 Most Important AI Use Cases for SMEs

Practical. Actionable. Value-adding. This map shows the spectrum of what AI can concretely do in a mid-sized company today – sorted by the ten most important business areas. Wherever we already have a worked-out solution, the item links straight to the detailed use case.

Validate a use case in an AI initial consultationView detailed use cases
Overview of AI application areas for SMEs

Treat this list as an inspiration map and space of possibilities – not as a promise that every item comes ready "off the shelf". Which case truly delivers leverage for you depends on your data, processes, and goals.

Quick Win often doable yourself with off-the-shelf toolsIntegration project needs a connection to your data & systems – where we add value

Marketing & Communication

Marketing is where AI delivers the fastest visible results. From audience analysis and content creation to campaign evaluation, many tasks can be accelerated right away – simple building blocks with off-the-shelf tools, while analyzing large data sets needs a clean integration.

View AI marketing & sales →

Sales & Lead Generation

In sales the leverage is less about wording and more about working the data: which leads are worth it, what does a customer need next? The truly valuable use cases connect CRM, quote, and behavioral data – that is integration work, not a prompt.

View sales automation →

Customer Service & Support

Customer service is the classic AI case with measurable ROI: a large share of inquiries are repeats. An assistant connected to your systems relieves the team around the clock and frees up capacity for the cases that really matter.

View customer service use case →

Processes & Automation

This is the actual core business: documents, approvals, and system-to-system flows that run manually today. These cases are almost always integration projects – which is exactly why they pay off most sustainably.

View autonomous AI agents →

Finance & Controlling

Controlling is about data quality and forecasts. AI detects anomalies, checks documents, and delivers forecasts – this requires access to your financial systems and therefore a clean integration rather than a simple prompt.

View invoice verification →

People & HR

HR mixes quick wins (job postings, interview questions) with data-driven projects (screening, retention forecasts). Pay special attention to data protection and fairness here – AI in a hiring context is sensitive.

View HR & recruiting →

Product Development & Innovation

AI speeds up exploring ideas, markets, and variants. Much of this works fast with generative tools; simulating tests or systematically evaluating customer needs becomes a project with a real data foundation.

View multimodal AI →

Procurement & Supply Chain

Procurement and the supply chain live on forecasts and real-time data. Reliably predicting demand, inventory, and risks requires a connection to ERP and supplier data – consistently integration work with a clear efficiency lever.

View predictive maintenance →

IT & Data

IT is both foundation and user: only a clean data base makes all other use cases possible. From cleaning data and automating reports to predicting outages, the biggest – but also most demanding – projects live here.

View central data platform →

Strategy & Corporate Management

At the leadership level, AI supports analyses, scenarios, and decisions. Research and SWOT come together quickly; robust KPI and risk analyses need a connection to your metrics and thus become a strategic project.

View all use cases →

Already spotted a favorite?

Let's talk about your specific use case.

In 45 free minutes we clarify whether your preferred use case pays off and what a pilot could look like.

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How to get started with AI

From idea to impact in six steps.

1

Identify potential

Analyze processes and find the use cases with the greatest benefit.

2

Prioritize

Select the top use cases based on effort, value, and feasibility.

3

Start small

Begin with a pilot project, learn fast, and make early wins visible.

4

Integrate

Integrate AI solutions into existing processes and systems, then scale.

5

Build skills

Empower employees, build knowledge, and strengthen an AI culture.

6

Improve continuously

Measure results, optimize, and unlock new potential.

Best Practices

  • AI is an enabler, not an end in itself.
  • Combine humans and AI meaningfully.
  • Ensure data quality.
  • Respect privacy and compliance.
  • Iterate and measure results.

Your Benefit

  • Up to 30–50% efficiency gains
  • Better decisions
  • Higher customer satisfaction
  • Relieve & empower employees
  • Secure competitive advantages

Next step

The best time to start with AI was yesterday. The second best is now.

Which of these use cases delivers the greatest leverage for you – that's what we clarify in a free 45-minute AI initial consultation.

Request an AI initial consultation