𝗧𝗲𝗮𝗰𝗵𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗔𝗜 𝘁𝗼 𝗥𝗲𝗮𝗱: 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗻𝗴 𝗞𝗲𝘆 𝗙𝗮𝗰𝘁𝘀 𝗳𝗿𝗼𝗺 𝗦𝗰𝗮𝗻𝗻𝗲𝗱 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝘀 𝗮𝗻𝗱 𝗣𝗗𝗙𝘀
Solo investigators spend hours reading bank statements, repair estimates, and court filings. Manually finding dates, names, or amounts wastes time you need for field work. AI turns these documents into facts quickly if you use the right approach.
Ask Investigative Questions
The best way to get info from AI is to ask a specific question instead of a vague command like summarize. If you ask, "What are the transaction dates, descriptions, and amounts on this bank statement?" the model knows which fields to find. Generic prompts make the AI guess. This leads to missed details. Instead, anchor every request to a clear question about dates, people, locations, or financial facts. This makes the AI act like a diligent assistant.
Azure Document Intelligence
Azure Document Intelligence turns scanned PDFs into data machines can read. It reads images and extracts text, tables, and key-value pairs. It produces structured data for your AI models. This removes the manual data entry step.
Scenario in Action
You receive a vehicle repair estimate for an insurance fraud case. Instead of clicking summarize, you ask the tool to list every part, labor hour, and total cost. You then compare this list to the actual invoice to find errors.
How to Implement
Prepare your files. Use a mobile scan or printer OCR to ensure your PDF is searchable before you start.
Process the data. Run your document through Azure Document Intelligence to pull structured text and tables.
Ask your question. Feed that data into an AI model and ask your specific investigative question, such as "Identify inconsistencies in this timeline."
Summary
Treat every document as a question. Start with a clear prompt, use Azure Document Intelligence for clean data, and let the AI deliver the facts. This method saves time and improves your accuracy in the field.
Optional learning community: https://t.me/GyaanSetuAi