Practical applications of Prompt Engineering for Business Analysis, Digital Transformation, Knowledge Management, and Decision Support.
This repository demonstrates how modern AI systems can be effectively used to solve real business problems rather than simply generate content.
Prompt Engineering is not about asking better questions.
It is about designing structured interactions that help AI systems:
- analyze information;
- identify patterns;
- support decision making;
- automate routine tasks;
- improve productivity;
- create business value.
Examples of prompts for:
- Requirements Gathering
- Business Requirements Documents (BRD)
- Functional Specifications
- User Stories
- Acceptance Criteria
- Gap Analysis
Prompt frameworks for:
- AS-IS Analysis
- TO-BE Design
- BPMN Modeling
- Process Discovery
- Process Optimization
AI-assisted approaches for:
- Market Research
- Competitor Analysis
- SWOT Analysis
- Industry Research
- Opportunity Identification
Examples of prompts for:
- Executive Summaries
- Strategic Analysis
- Scenario Evaluation
- Risk Assessment
- Root Cause Analysis
Applications for:
- Knowledge Bases
- Corporate Assistants
- Expert Systems
- Information Retrieval
- Organizational Learning
Examples and experiments include:
- ChatGPT
- GPTs
- OpenAI Assistants
- Claude
- Gemini
- Perplexity
- LangChain
/business-analysis
/process-analysis
/business-research
/decision-support
/knowledge-management
/prompt-library
/case-studies
The approaches presented in this repository are based on practical experience in:
- Business Analysis
- Banking & Finance
- Digital Transformation
- Consulting
- AI Adoption
Aleksei Bashtanik
Lead Business Analyst | AI Solutions Consultant | Founder @ NeuroCube
Website: https://neurocube.pro