Applied AI
Applied AI in companies: 5 pragmatic scenarios without hype.
AI becomes useful when it is tied to a concrete process, controlled data and a verifiable result. Otherwise it remains an interesting demo that is hard to use.
The short version
1. Internal documentation search
A strong scenario is search across procedures, manuals, policies or technical documentation. Value appears when people find answers and sources quickly instead of searching through scattered files.
2. Summarization for repetitive activities
AI can summarize tickets, emails, documents or operational notes. The summary should support a decision or action, not just look elegant.
3. Classification and routing
Documents, requests or incidents can be classified automatically so they reach the right person or workflow. This reduces delays and triage work.
4. Data extraction
AI can extract fields from semi-structured documents, with additional validation and human review where risk is high.
5. Internal assistants
An internal assistant can answer based on company documentation, explain work steps or help generate standard responses. It should be limited and monitored.