Using AI to convert unstructured information to structured information

This is a very relevant and powerful use case — and you're definitely on the right track by exploring Co-Pilot Studio. From what we’ve seen at AIChief, converting unstructured data into structured formats requires a hybrid approach of AI + traditional data processing pipelines.

Here’s a recommended tech stack for your use case:

✅ Azure Form Recognizer / Document Intelligence – Excellent for extracting key-value pairs, tables, and layout data from PDFs, Word, and images.

✅ Power Automate + AI Builder – Good for automating workflows, but can be limiting for complex document types. Can still be used to trigger processes post-extraction.

✅ Azure OpenAI or Azure Cognitive Services (via LangChain) – Use GPT-powered models to extract or infer structured data from semi-structured formats, especially where templates vary.

✅ Dataverse / SQL / Cosmos DB – For storing the extracted structured data and enabling analytics or visualization downstream.

If you're looking to scale this for enterprise use, consider layering a custom GPT or Co-Pilot model trained on your specific document formats.

We’ve published tools and curated insights at https://aichief.com to help AI builders and teams working with similar automation use cases. Happy to connect or help further if needed!