TFF #4: How SMEs can achieve real ROI with AI - and avoid the biggest pitfall

AI can be a real game changer for SMEs - but only if the right priorities are set. The biggest danger is usually not the price, but that you invest time and money in AI projects that don't bring any real benefit.

Many SME bosses are currently asking me the same question: "We hear so much about AI - but what does it really do for us?"

The uncertainty is great. Some rely on AI tools in the hope of quick success. But it often ends differently:

  • Projects are not progressing.
  • Costs rise unexpectedly.
  • The new systems are hardly used in everyday life.

The result? Frustration. Waste of time. No return on investment (ROI).

We experienced it recently:

  • A service provider introduced automated quotation generation - but employees continued to work as before because they didn't understand the opportunities.
  • A production company relied on AI-supported maintenance - but the quality of the machine data was insufficient. The result was a standstill.
  • A retailer hoped to reduce customer inquiries with chatbots - but customers weren't satisfied because the bot didn't know the important questions.

The technology wasn't the problem - the wrong priorities were. These companies have followed the hype instead of focusing on the real benefits.

This ensures that your AI investments pay off:

Step 1: Impact instead of hype

Rate each AI project according to two clear criteria:

  1. Business Impact: Does it increase sales, reduce costs or increase efficiency?
  2. Implementation effort: How much time does the project take? What are the costs? What skills do we need?

Organize all ideas into an AI ROI matrix:

▶ High potential, low effort → IMMEDIATELY implement (Quick Wins)

▶ High potential, high effort → PLANNING (Strategic projects)

▶ Low potential, low effort → TEST (Small optimizations)

▶ Low potential, high effort → STRIKE (time and money waster)

Step 2: Calculate ROI

The return on investment (ROI) of AI is not only calculated by Cost reduction. You can also measure success in other ways:

Time saving → Efficiency ROI: (hours saved × labor costs per hour) ÷ investment

More sales → growth ROI: (sales profit - investment) ÷ investment

Risk minimization → avoidance ROI: (Avoidable error costs or downtime) ÷ Investment

Example: An SME automates invoicing with AI:

▶ Saves 10 hours per week at CHF 50 per hour = CHF 500 per week

▶ Annual savings: CHF 26,000

▶ Costs of the AI solution: CHF 5,000 per year

ROI: (26,000 - 5,000) ÷ 5,000 = 420 %

Step 3: Where AI brings the greatest benefits for SMEs

These fields of application have proven their worth with SMEs:

Productivity: AI assistants automate routine tasks (30-50 % efficiency gain).

Distribution: AI-supported analyses increase the closing rate (20-40 % sales increase).

Customer service: Chatbots drastically reduce response times (up to 70 % cost savings).

Marketing: AI personalizes campaigns, campaign success increases (up to 3x higher engagement rate).

Maintenance: Predictive maintenance prevents breakdowns (up to 40 % less downtime).

Use these figures as a guide for estimating your AI potential.

Step 4: Start small - but don't wait

▶ List all AI ideas for your company.

Prioritize the quick wins with the AI ROI matrix.

▶ Start your first project with low effort and high benefit.

▶ Measure the ROI after 3 months - adjust and scale further.

The goal is not perfection - it is momentum.

SMEs that start now are building the AI fitness that will set them apart in the future.

👉 Download the KI-ROI matrix (available in English).

Are you ready?

We are glad you asked! Schedule an appointment with us directly to begin this important first step of the innovation process - the needs analysis. We look forward to working with you to overcome the challenges and drive digital innovation in your business.

Our blog

Latest post

TFF #38: The four-gap trap: Why 62% of AI projects remain piecemeal

Some typical scenes from everyday AI life: Scene 1: The hopeful start A financial services provider tests a custom GPT for customer communication. Works great. The team is enthusiastic. 3 months later: Only 2 people are using it. Scene 2: The resistance A production company wants to introduce AI for process optimization. The management pushes. The team puts the brakes on. Not out of unwillingness. Out of fear [...]

TFF #37: Cloud first, then AI - why the order matters

While artificial intelligence is developing inexorably from a trend to a decisive factor for competitiveness, SMEs are still hesitant to actually use it. High complexity. Lack of resources. Unclear legal framework. Many managers say: "We don't know where to start." To find clarity, we invite you to the next AI Café: Date: Wednesday, December 10, 2025Time: 16:30-19:00 [...]

TFF #36: From either/or to both/and - What AI is currently teaching us

Three days of the last week. Three new topics: "Friday came the customs deal. 15% instead of 39%. But it's not through yet. Parliament. Referendum. How do I plan my supply chain for 2026? [Manufacturing executive] "Our exports fell by 14% in May. Chemical-pharmaceutical minus 19%. Plus new regulations. How do we stay fast [...]