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How to Automate Claims Processing Using AI Builder and Power Automate

An insurance company wants to automate claims processing. They receive claims via email attachments (PDFs) and need to extract key information (policy number, date, amount) and enter it into a Dataverse table. Then, a workflow should evaluate the claim amount: if under $5000, auto-approve and notify the customer; if over $5000, assign to a human adjuster. The solution must be low-code and use AI where beneficial. Which combination should they use?

Quick Answer

The correct combination is AI Builder, Power Automate, and Dataverse. This works because AI Builder’s prebuilt form processing model extracts policy number, date, and amount from PDF attachments, Power Automate orchestrates the conditional workflow—auto-approving claims under $5,000 and routing larger claims to a human adjuster—and Dataverse stores the structured data in a low-code, scalable table. On the PL-900 exam, this scenario tests your understanding of how Power Platform components integrate to solve a real business problem; a common trap is choosing Power Apps for data entry when the requirement is automated extraction from emails. Remember the memory tip: “AI reads the PDF, Flow decides the path, Dataverse holds the facts.”

⚠ Common exam trap

A common mix-up: candidates think Power BI or Power Pages are needed for data handling or external access, but the scenario only requires data extraction, storage, and conditional workflow—all achievable with AI Builder, Power Automate, and Dataverse alone.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

AI Builder, Power Automate, and Dataverse

It combines AI Builder (to extract data from PDFs using prebuilt AI models), Power Automate (to orchestrate the workflow and conditional logic based on claim amount), and Dataverse (to store the extracted data in a structured table). This low-code solution leverages AI where beneficial (PDF extraction) and automates the approval routing without requiring custom development.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Power BI, AI Builder, Power Automate, and Dataverse

    Why it's wrong here

    Power BI is for reporting, not workflow.

  • AI Builder, Power Automate, and Dataverse

    Why this is correct

    AI Builder extracts data, Power Automate processes workflow, Dataverse stores data.

  • Power Pages, AI Builder, Power Automate, and Dataverse

    Why it's wrong here

    Power Pages is for external portals, not needed.

  • AI Builder, Copilot Studio, Power Automate, and Dataverse

    Why it's wrong here

    Copilot Studio is for chatbots, not needed for this workflow.

About these practice questions

This PL-900 question is part of Courseiva's 904-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →

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Same concept, more angles

1 more way this is tested on PL-900

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. An organization uses Power Automate to process invoices from email attachments. Some invoices are processed incorrectly because the flow fails to parse PDFs with non-standard layouts. What should the administrator do to improve accuracy?

hard
  • A.Increase the flow run frequency to every minute.
  • B.Add a condition to route non-parsed invoices for manual approval.
  • C.Use AI Builder to create a custom document processing model.
  • D.Change the trigger to a manual button in Power Apps.

Why C: AI Builder provides prebuilt and custom document processing models that use optical character recognition (OCR) and machine learning to extract data from PDFs with non-standard layouts. This directly addresses the root cause—parsing failures due to layout variability—by training the model on sample invoices to handle diverse formats, unlike static parsing logic.

JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This PL-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PL-900 exam.