AI Business Use Cases

Frequently Asked Questions

• What can AI be used for in business?

  AI can help business owners address challenges, enhance their functionality and even reshape marketing strategy with the purpose to increase the bottom line.

• What are the use cases for AI?

  There are many. Data science and AI for business can enable paperwork process automation, streamlined business workflow, strengthened security, anomaly detection, disease prediction, product demand forecasting, customer churn prediction, customer reviews collection and analysis, brand health monitoring, etc.

• What’s the price for an AI project?

  Every case is unique, but the price of the Investigation stage which allows validating the idea at an early stage and to deliver the initial piece (PoC/Discovery) ranges from 20-30K $.

• How is generative AI used in business?

  Generative AI (GenAI) can analyze vast amounts of data, identify patterns and make predictions. The technology can enable low-cost data analysis and resource-intensive task automation. Moreover, GenAI can provide 24/7 customer support with natural interactions with customers, freeing you up from having a full customer support department.

• What are the use cases for generative AI for chatbots?

  Among the astonishing functions of GenAI are the following:

  • Customer support/Conversational AI
  • Website digital assistance
  • Appointement scheduling/setting reminders
  • Personalized content
  • Email sorting/routing
  • Customer sentiment analysis, and so on.
• What is an example of a LLM model?

  An LLM is a specialized type of AI that has been trained on vast amounts of text to understand existing content and generate original content. Being deployed on-premise or private clouds, custom-built LLMs provide strong security.

• How is AI used in marketing?

  AI-based solutions implemented provide marketing department with the comprehensive marketing analytics including:

  • customer segmentation
  • audience analysis
  • customer churn prediction
  • anomaly detection
  • marketing campaign monitoring
  • demand prediction
  • forecasting insights.
• How can AI help healthcare?

  AI is widely used in healthcare and provide the industry with incredible opportunities improving healthcare delivery including:

  • anomaly detection
  • streamlined medical imaging
  • disease prediction
  • COVID-19 smart solutions
  • physical therapy apps
  • paperwork automation
• Which business case is better solved by AI?

  Here’s to using AI to solve business problems. Best business cases for AI:

  • High volume of repetitive inquiries

  Example: E-commerce platforms answering questions like “Where is my order?”, “What’s your return policy?”, or “Do you ship internationally?”
  Why AI works: AI can instantly respond 24/7, reducing customer support workload.

  • Structured knowledge base

  Example: SaaS companies with well-documented product features, pricing tiers, or onboarding steps.
  Why AI works: AI can pull accurate answers from a static set of documents or URLs.

  • Multi-language support

  Example: Global companies needing to answer FAQs in many languages.
  Why AI works: AI models like ChatGPT can translate and respond contextually in multiple languages.

  • Dynamic or personalized questions

  Example: Banks or insurance companies answering customer-specific queries like “How can I update my address?” or “What’s the status of my claim?”
  Why AI works: When integrated with customer data (with proper privacy safeguards), AI can give tailored responses.

  • Scalable customer support

  Example: Startups or growing businesses that can’t afford large support teams.
  Why AI works: AI handles many interactions simultaneously without scaling cost linearly. Using AI to solve business problems, one can achieve greater business results.