THE POSSIBILITIES, MADE PRACTICAL
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THE USE CASE LIBRARY
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536 use cases to explore
IDEAS FOR YOUR NEXT CHAPTERProcess messages and requests in general chats
The assistant monitors the general chat, moderates messages and answers common questions. It classifies complaints, creates requests for requests and prepares message flow analytics. The result links correspondence to servicing requests rather than being limited to individual help responses to participants.
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- AI capability
- Document processing · Knowledge retrieval · Reasoning & analysis · Workflow execution
- Input data
- Text & messages
- Output
- System action · Report or summary
Handle typical support requests
The assistant understands the user's request and carries out the prescribed first-line support scenario. It answers standard questions, uses available service information, and escalates complex cases to the operator or the next line. The result is a processed request; the specific transaction actions depend on the connected script.
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- AI capability
- Document processing · Knowledge retrieval · Reasoning & analysis · Recommendations & personalization · Speech processing · Workflow execution
- Input data
- Text & messages · Audio & speech · Structured & accounting data
- Output
- Answer or recommendation · System action
Processing of geological materials
AI can extract information from geological reports, observation logs and tables, bring records into a single structure and flag inconsistencies. The result is an organized set of data and a list of sites or materials for additional study. The geologist reviews the interpretation before using it in design decisions.
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- AI capability
- Reasoning & analysis
- Input data
- Scientific & experimental data
- Output
- Report or summary
Processing of medical research
When working with medical research, AI can structure results, highlight significant indicators and prepare a summary for review. The doctor receives auxiliary material for analysis; The clinical interpretation and further decisions must be checked by a medical specialist.
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- AI capability
- Reasoning & analysis
- Input data
- Task-dependent data
- Output
- Report or summary
Inspect hydraulic structures
AI is used in digital surveys of hydraulic structures based on drone footage. Helps analyze the condition of an object as part of technical control. The result is survey data for consideration by specialists; the specific types of damage recognized depend on the available analysis method.
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- AI capability
- Perception & recognition
- Input data
- Images
- Output
- Assessment or feedback
Inspect the condition of pipelines
AI helps analyze pipeline inspection materials from the outside or inside. Uses visual data and available measurements obtained by drones or robots to monitor the condition of the pipe. The result is materials for technical inspection of areas and planning of further diagnostics by specialists.
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- AI capability
- Perception & recognition
- Input data
- Images · Equipment & sensor data
- Output
- Assessment or feedback
Training and adaptation of workers
AI can explain work instructions, answer questions about training materials, and suggest exercises to help you master common tasks. The result is a learning route, tips and a list of topics to review. The mentor checks readiness for independent work; personnel decisions remain with responsible employees.
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- AI capability
- Learning & assessment
- Input data
- Task-dependent data
- Output
- Content
Personnel training and certification
AI accompanies the development of working standards and testing of employee knowledge. Offers educational tasks and practical situations, analyzes answers according to established criteria and provides feedback. Materials and requirements can be adapted to the position, and the final assessment can be used as an additional basis for deciding on the level of training.
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- AI capability
- Knowledge retrieval · Learning & assessment
- Input data
- Text & messages · Documents & scans
- Output
- Content · Assessment or feedback
Training and running models
The computing environment supports training, retraining, and running AI models. Allows the team to organize the life cycle of their own models, but in itself does not determine the final application task. The result relates to the preparation and operation of the model; the quality of her answers and suitability for a specific work scenario must be examined separately.
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- AI capability
- Software engineering
- Input data
- Task-dependent data
- Output
- Code or software configuration
Explanation of laboratory values
AI interprets anonymized laboratory results taking into account the provided information about age, gender and reference ranges. Formulates an explanation of the values, helping the user navigate the report. Such an analysis does not establish a diagnosis or determine treatment: the clinical significance of the indicators is assessed by the doctor in the context of symptoms, history and other studies.
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- AI capability
- Reasoning & analysis
- Input data
- Structured & accounting data · Documents & scans
- Output
- Answer or recommendation · Report or summary
Restrict access to dangerous content
AI analyzes the web pages you visit and determines the category of acceptable content. Based on the assessment, the system allows access or blocks materials determined to be dangerous for the selected audience. The working result is automatic application of content access rules without manually reviewing each page.
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- AI capability
- Anomaly detection · Workflow execution
- Input data
- Text & messages
- Output
- Assessment or feedback · System action
Clothing on a virtual model
The AI creates an image of an item of clothing on a virtual person based on the original photograph of the item. Helps prepare a visual representation of the product without separately shooting each option on the model. Before publication, you need to check the integrity of the shape, color and details of the product and not use the generative result as an accurate confirmation of the actual fit.
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- AI capability
- Content generation
- Input data
- Images
- Output
- Content
These are potential applications, not implementation results. Industry categories are a starting point; suitability depends on your process, data and constraints.
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