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 CHAPTERCollect research basket according to purpose
The assistant parses a specialist's appointment or text request, compares it with the research catalog and checks the availability of the required positions. It creates a ready-made cart and provides a link to continue checkout. The result is a prepared order, and not an independent appointment of examinations.
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- AI capability
- Document processing · Recommendations & personalization · Workflow execution
- Input data
- Documents & scans · Text & messages · Structured & accounting data
- Output
- System action
Collect feedback and escalate issues
The system initiates a survey after a purchase, training, or complaint and collects customer responses. Negative feedback is sent to the responsible manager for review. The result is feedback received and problematic requests forwarded; When signaling about a product, the survey can include other buyers of the product. Follow-up work begins with client responses already received.
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- AI capability
- Reasoning & analysis · Workflow execution
- Input data
- Text & messages · Structured & accounting data
- Output
- System action · Structured record
Collect work reports and respond to backlogs
The assistant receives photos and information about completed work, monitors the receipt of reports and sends reminders. He compiles a summary, and in the envisaged scenario, creates a task for the person responsible for eliminating the backlog. The outcome combines the collection of facts about progress with organizational action. The summary consolidates the received materials into an overall working overview.
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- AI capability
- Content generation · Workflow execution
- Input data
- Images · Text & messages · Structured & accounting data
- Output
- Report or summary · System action
Collect needs and prepare client briefs
To prepare the first meaningful conversation, AI can ask the client clarifying questions about needs, limitations and readiness for the next step. The specialist receives a structured brief with answers and open-ended questions to continue the discussion.
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- AI capability
- Workflow execution
- Input data
- Text & messages
- Output
- Structured record · Assessment or feedback
Collect symptoms of malfunction and create a request
The assistant asks the customer about signs of trouble, offers a likely explanation for the problem, and generates a pre-filled order for the technician. The result helps to start diagnosing with the information already collected. The suspected cause is not declared as a confirmed technical report and repairs are not performed automatically.
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- AI capability
- Reasoning & analysis · Workflow execution
- Input data
- Text & messages
- Output
- Structured record · System action
Collect structured organization cards
The system receives information about organizations from available sources and combines them into structured cards. Such collection prepares materials for navigation or reference services. The result is organized records about organizations, rather than an assessment of their reliability, a recommendation for a specific supplier, or a completed transaction.
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- AI capability
- Document processing · Workflow execution
- Input data
- Structured & accounting data
- Output
- Structured record
Create interior options
AI creates visual interior and renovation options based on an image or model of the room. If a catalog is available, it uses available furniture and helps show the intended result of changing the space. The working result is a visualization for discussion and selection of a solution, requiring further design development.
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- AI capability
- Content generation · Design & discovery · Perception & recognition · Recommendations & personalization
- Input data
- Images · Drawings & design models
- Output
- Design proposal · Content
Create queries for data based on description
The model converts a plain language task description into a database query. When composing the request, it takes into account the available application context. The result is program text for accessing the data; Automatic query execution, changing records, or checking the result separately are not expected. The user specifies a need without formulating the query syntax himself.
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- AI capability
- Software engineering
- Input data
- Text & messages
- Output
- Code or software configuration
Create and modify program code
The assistant supports programming at the request of the developer: creates, supplements, explains and helps refine the code. Peer review and production of supporting materials are available depending on the instrument. The result is program text or an engineering hint; release and deployment actions are not separately implied. A developer request specifies a required software change or explanation.
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- AI capability
- Learning & assessment · Software engineering
- Input data
- Text & messages · Source code
- Output
- Code or software configuration · Answer or recommendation
Create and launch trading robots
The user describes a trading idea, and the model converts it into program code. The prepared algorithm is tested on historical data and, in the prescribed scenario, is launched on the account. The result relates programming to testing and executing a trading algorithm, without promising profitability of its operation.
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- AI capability
- Software engineering · Workflow execution
- Input data
- Text & messages · Structured & accounting data
- Output
- Code or software configuration · System action
Generate and select candidate molecules
AI creates or virtually selects compounds for early drug development. Analyzes candidates, predicts significant properties, and helps identify promising areas for further testing. The result is a list of molecules and assessments for research; Computational selection does not replace experimental confirmation of the properties of the drug.
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- AI capability
- Design & discovery · Forecasting · Optimization & planning · Reasoning & analysis
- Input data
- Scientific & experimental data
- Output
- Design proposal · Assessment or feedback
Create and maintain work tasks
The assistant extracts agreements from work correspondence or meeting materials and formalizes tasks with performers and deadlines. In a connected system, it places jobs and maintains their coordination. If user confirmation is provided, creation is performed after it; the result is a real task, not a textual list of intentions.
Explore the metadata
- AI capability
- Workflow execution
- Input data
- Text & messages · Structured & accounting data
- Output
- System action
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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