You run a company and you're interested in AI? I know what you mean. Between the glittering promises and the legitimate fears, it's not easy to make sense of it all.
Already at Smart Impact, many of our customers are asking us the same question: “AI, should we get on with it or wait?”
Table of contents
The 3 concrete uses of AI in business
- Automating repetitive tasks
- Predictive analysis for informed decisions
- Improving the customer experience
What are the pitfalls to avoid?
- Rushing without a clear strategy
- Lack of team training
- Security and confidentiality vulnerabilities
How to make a successful transition to AI?
- Start small, but start now
- Focus on continuous training
- Choose proven solutions
The 3 concrete uses of AI in business
- Automating repetitive tasks
No more time wasted on non-value-added administrative tasks. AI takes over data entry, email sorting and standard report generation.
One of our real estate customers has saved 15 hours a week by automating lead qualification. His team now concentrates on what really counts: human contact with customers.
- Predictive analysis for informed decisions
AI algorithms excel at analyzing massive data. They detect trends invisible to the naked eye and anticipate future behavior.
In retail, for example, AI optimizes inventory by predicting demand. The result? Less waste and greater product availability.
- Improving the customer experience
Intelligent chatbots, personalized recommendations, 24/7 customer service... AI is transforming customer relations.
A textile SME has boosted its 23% sales thanks to AI-based personalized recommendations. The secret? Ultra-relevant suggestions that give the impression that the brand really knows you.
What are the pitfalls to avoid?
- Rushing without a clear strategy
Don't jump at the first AI solution that comes along. First define your business objectives and identify the processes you need to optimize.
- Lack of team training
AI doesn't replace your employees, it assists them. Invest in their skills development to turn them into “augmented workers”.
- Security and confidentiality vulnerabilities
Data is the sinews of war. Make sure your AI solutions comply with the RGPD and protect sensitive information.
How to make a successful transition to AI?
- Start small, but start now
Opt for a limited pilot project. You'll limit the risks and learn quickly from your mistakes.
- Focus on continuous training
Training your teams is not an option, it's a necessity. You'll need a substantial training budget and long-term support.
- Choose proven solutions
In 2025, there will be no need to reinvent the wheel. Turnkey solutions already exist for most common uses.
What budget should you set aside to get started with AI?
It all depends on your objectives. Expect to pay between CHF 5,000 and CHF 15,000 for an initial pilot project, including the technical solution and team training.
How long does it take to see the first results?
On average, the first productivity gains are visible within 3 to 6 months. But wait 12 months for a significant ROI.
Which skills should be developed first?
First, train your teams in data analysis and AI project management. Technical skills will come later.
Note: this article reflects my experience in the field with our customers. Please feel free to Contact us to learn more about specific aspects of your business.
For further thought on AI in business, here are some great resources to complement this article:
McKinsey - The State of AI in 2024
An in-depth study reveals that 55 % of companies are using AI in one way or another. The analysis details the most advanced sectors and the returns on investment seen.
🔗 The State of AI in 2024: Generative AI's breakout year
Deloitte - Tech Trends 2025
A comprehensive report on technology trends, with a particular focus on AI. In particular, Deloitte analyzes the impact of generative AI on businesses and business processes.
Gartner - Top Strategic Technology Trends
A reference for understanding where AI fits into the global technological landscape. It details the most promising use cases for 2025.
🔗 Top Strategic Technology Trends for 2025
MIT Technology Review - AI Index Report
A rigorous academic analysis that takes stock of AI's technical advances and their adoption by companies. Particularly useful for understanding training issues.
🔗 The AI Index Report - MIT Technology Review
Boston Consulting Group - AI Maturity Report
A study that offers an assessment framework to measure your AI maturity and define a roadmap tailored to your context.
🔗 Getting AI Transformation Right
Editor's note: These sources are regularly updated. Please consult the latest available versions for the most up-to-date data.
Co-founder of Smart Impact.Passionate about the web from the outset, he launched his first project in 2006: an online music magazine that is still running today. With almost 20 years' experience in SEO, a federal diploma in marketing and a solid geek culture, he and his team transform customers' (sometimes vague) ideas into concrete digital projects.