The new Google SMB AI Playbook 2025 shows concrete practical examples of how SMEs are already using AI effectively today. The free PDF from Google provides companies with plenty of inspiration for greater efficiency through AI and new digital opportunities in over 50 use cases.
AI use cases – The Google AI Playbook for SMEs
The Google SMB AI Playbook uses concrete examples to show how small and medium-sized enterprises are already using AI productively today.
The use cases are taken from the free white paper “The SMB AI Playbook: Driving Real Value in EMEA (2025)” from Google.
The focus is on practical use cases along central business areas – from strategy and marketing to operations and compliance. Technical solutions from the Google Cloud are also presented, such as the AI platform VertexAI, the data warehouse solution BigQuery and other Google technologies from the Google Cloud.
1. AI for business strategy & management
AI helps management teams and executives to better understand markets, identify risks at an early stage and make data-based decisions.
- 1. Sentiment analysis from public data: Public content such as news, blogs or forums are automatically analyzed to identify sentiment, trends and reputational risks around markets, competitors or industries.
- 2. Peer Benchmarking & ESG Scoring: Internal and external data is analyzed to compare the company’s own ESG performance and business development with competitors.
- 3. Automated performance monitoring & reporting: Dashboards and reports are created automatically, anomalies are identified and relevant KPIs are continuously monitored.
2. Sales & Digital Commerce
In sales, AI helps to better align prices, content and offers with customer demand.
- 4. Intelligent price optimization: Prices are dynamically adjusted based on demand, competition, availability and historical sales data.
- 5. Multilingual product descriptions: Product texts are automatically created in multiple languages and adapted locally.
- 6. Automatic tagging of products & assets: Products and digital content are automatically tagged to improve search and categorization.
- 7. Personalized product recommendations: Customers receive suitable product recommendations in real time based on their behavior.
- 8. Customer value prediction: AI estimates which customers are most likely to renew, upgrade or churn.
- 9. Personalization of loyalty programs: Bonus programs and offers are individually tailored to customers.
3. Marketing
Marketing teams use AI to plan campaigns more efficiently, implement them more quickly and optimize them on an ongoing basis.
- 10. SEO optimization for campaigns: Content is automatically optimized for search engines, including keywords and metadata.
- 11. Media mix and budget optimization: budgets are allocated to channels based on data and adjusted on an ongoing basis.
- 12. Real-time campaign monitoring: Campaigns are monitored in real time in order to react quickly to trends or changes in reach.
- 13. Marketing content generation: texts, images and creative for campaigns are created automatically.
4. Customer experience & support
In customer service, AI increases efficiency, response quality and availability.
- 14. Dynamic ticket prioritization: Incoming requests are sorted by topic and urgency and automatically forwarded to the right teams.
- 15. AI-supported support emails: Answers are suggested, translated or improved in terms of language.
- 16. No-touch customer assistance: Frequent standard inquiries are answered fully automatically.
- 17. Creation of training and help content: Onboarding guides, FAQs or tutorials are generated automatically.
- 18. Call transcription & support evaluation: Customer calls are transcribed and evaluated for quality analysis.
- 19. Automated analysis of customer feedback: Free texts from surveys or reviews are summarized and analyzed.
- 20. Text-to-speech for UX & accessibility: content is automatically dubbed, e.g. for barrier-free access.
5. Product, service & solution development
AI accelerates the planning, development and quality assurance of digital products.
- 21. Automated PRD creation: Product requirements are prepared in a structured manner from key points or texts.
- 22. Code generation: source code is created directly from descriptions or requirements.
- 23. Generation of technical requirements: Business objectives are translated into technical specifications.
- 24. Automated code reviews: Code is checked in advance for errors, standards and quality.
- 25. Website and app development: prototypes and applications are created faster using AI-supported templates.
- 26. Production monitoring & bug detection: systems are monitored and errors are detected and localized at an early stage.
- 27. Technical documentation: Documentation is automatically generated from code and changes.
6. Data & analytics
AI makes data more accessible and reduces manual effort in analysis and governance.
- 28. File processing & data extraction: information from PDFs, scans or images is extracted in a structured manner.
- 29. Querying data using natural language: questions such as “What was the turnover last week?” provide direct answers.
- 30. Automated data governance: Sensitive data is recognized, classified and protected.
7. Inventory, Procurement & Logistics
In the supply chain, AI ensures better planning, fewer bottlenecks and lower costs.
- 31. Stock categorization & segmentation: Stocks are automatically grouped in a meaningful way.
- 32. Real-time inventory management: stock movements are continuously monitored.
- 33. Inventory forecasting & optimization: Demand is predicted and reorders are optimized.
- 34. Location forecasts for store expansions: New locations are evaluated based on data.
- 35. Automated order processing: Orders, invoices and reconciliations are automated.
- 36. Vendor selection: Suppliers are compared based on price, quality and performance.
- 37. Returns forecasting: Returns are predicted and better planned.
8. Finance & Accounting
Financial processes become faster, more accurate and more transparent.
- 38. Automated financial reconciliation: postings and transactions are reconciled automatically.
- 39. Automated invoice verification: incoming invoices are compared with orders and deliveries.
9. Legal, Risk, Security & Compliance
AI reduces manual checking effort and improves risk and compliance management.
- 40. Automated contract review: contracts are analyzed according to risks, deadlines and clauses.
- 41. Contract clustering & summaries: Large volumes of contracts are grouped and summarized.
- 42. Contract queries in natural language: Content can be searched by question.
- 43. Customer risk forecasting: Payment and default risks are forecast.
- 44. Vulnerability assessments: IT systems are automatically checked for vulnerabilities.
- 45. Threat detection: Suspicious activities are detected in real time.
- 46. Real-time compliance monitoring: New regulatory requirements are checked automatically.
- 47. Audit preparation: Evidence and reports for audits are created automatically.
10. Operations
In day-to-day operations, AI increases efficiency, collaboration and transparency.
- 48. Workforce forecasting: personnel requirements are planned based on data.
- 49. AI assistant for knowledge work: internal information, documents and tasks are supported centrally.
- 50. Document and article remarginization: Long content is automatically summarized.
- 51. Multilingual team communication: Internal communication is automatically translated.
Conclusion: Practical use case collection for brainstorming and technology
The use cases make it clear that AI is no longer a topic for the future, but a tool for day-to-day business operations. With manageable effort, some of the use cases shown can create measurable added value in SMEs. Google offers suitable solutions for every use case in the Google Cloud, from databases to generative AI models and more. The Google Playbook provides use cases from small to large for almost all areas in companies and organizations. Conclusion: It’s worth downloading and reading for 1 hour!
Download: The SMB AI Playbook: Driving Real Value in EMEA (2025) from Google (free of charge)
