Seven practical AI features you can add to an existing .NET app
Useful, proven AI features that fit into the software you already have — no rewrite required.
Start from the workflow, not the technology
The best AI features remove a step your users already find tedious. Each of the features below can be added to an existing ASP.NET application behind a clean interface, usually in weeks rather than months.
Seven features that consistently pay off
- Natural-language search: users type questions instead of guessing keywords.
- Summaries: long records, tickets or reports condensed to the key points.
- Classification and tagging: incoming e-mails, tickets or documents sorted automatically.
- Data extraction: fields pulled from invoices, forms and contracts.
- Drafting: first drafts of replies, descriptions or reports for a person to approve.
- Recommendations: related products, articles or next actions.
- An in-app assistant: answers 'how do I…?' questions about your own application.
Building them responsibly
We keep a person in the loop wherever mistakes are costly, log every AI decision, set usage and cost limits, and build an evaluation suite so quality can be measured when prompts or models change.
The .NET building blocks
Microsoft.Extensions.AI gives a common abstraction over model providers, Semantic Kernel adds orchestration and plugins, ML.NET covers classic machine learning such as forecasting and anomaly detection, and Azure AI services provide document intelligence and search. Together they let AI features sit naturally inside an existing .NET codebase.