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 AIChief.com to help AI builders and teams working with similar automation use cases. Happy to connect or help further if needed!