Microsoft Scenario Library Finance Finance Q&A agent

Available with: Copilot Studio

Finance scenario: Finance Q&A agent

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Scenario

Using AI Agents to build a Q&A agent

AI-powered solution that automates finance-related query resolution, ensures real-time data access, handles complex queries, and maintains compliance alignment.

1. Handle queries

Employees ask Finance-related questions and receive responses based on data from ERP, policy documents, and FAQs and ensures accurate and consistent information.

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Copilot Studio Agent

Benefit: The agent Instantly responds to finance-related queries (invoice status, payments, expense tracking) using AI-based NLP.

The agent routes complex queries to the appropriate authority or triggers workflow actions.

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Copilot Studio Agent

Benefit: Helps to ensure that questions are answered by triggering a workflow with Finance subject matter experts.

The agent logs queries and responses and then generates regular reports to provide feedback for the Finance team on recommended document updates or training requirements.

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Copilot Studio Agent

Benefit: The Finance team receives clear feedback on common questions and areas of improvement for Finance policy documentation.

KPIs

Opportunity to impact key functional area KPIs

How Microsoft Copilot can help average request times

Microsoft Copilot can help with lowering resolution times which in turn ​leads to increased agent productivity and higher customer satisfaction rates.​
Boost productivity​
  • Rapidly find information​
  • Diagnose problems faster​
  • Check for similar issues and resolutions​
  • Quickly send follow-up communications​

How Copilot can improve risk management

Finance teams grapple with complex tasks—from credit and collections to risk management and compliance. Get real-time insights and strategic recommendations. By automating mundane tasks, Microsoft Copilot frees up time for critical decisions, streamlining audits, simplifying collections, and accelerating financial reporting.
Speed data analysis and reporting
  • Quickly analyze trends
  • Generate informative charts
  • Create strategy presentations

How Microsoft Copilot can reduce finance department spending

As a cost center, Finance teams face the challenge of constantly achieving more with fewer resources. By assisting with everyday tasks, Microsoft Copilot can help increase time for additional analysis, proactive audits, collections processes, and financial reporting.
Keep communication lines open
  • Draft communications such as approval requests, status emails, and supplier communications
  • Summarize stakeholder meetings around budget status and approvals
  • Create sourcing strategy decks

How Copilot can help reduce spend on financial systems and tooling

Microsoft Copilot can be extended into processes to bring data together and speed decision-making without performing expensive updates to financial systems.
Inform your decisions:
  • Draft budgets and spreadsheets
  • Search for cost variances across different options

How Microsoft Copilot can help reduce days sales outstanding

Collections play a crucial role in any business. Timely and efficient collections help ensure healthy cash flow, liquidity, and operational efficiency. 
Improve collections process
  • Use Copilot to organize information from past interactions
  • Draft communications with Copilot clearly outlining the collection process
  • Analyze different payment methods and its effectiveness

1Access Microsoft 365 Copilot Chat at m365copilot.com, or the Microsoft 365 Copilot Chat mobile app and set toggle to “Web”.

2Access Microsoft 365 Copilot Chat at m365copilot.com, the Microsoft 365 Copilot Chat mobile app, or the Microsoft 365 Copilot Chat app in Teams, and set toggle to “Work”.

3AI Agents allow Copilot to access your organization-specific apps. In the past this would have required an API call to get data from a system of record.

The content in this example scenario is for demonstration purposes only. You should evaluate how Copilot aligns with your organization’s business processes, regulatory requirements, and responsible AI principles.