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AR and credit control

Dynamics 365 Finance

by Microsoft

Credit and collections functionality within Dynamics 365 Finance.

Source identified, review in progress US market: Confirmed Pricing: Not publicly stated unless the cited page says otherwise

Official product page: learn.microsoft.com · Last checked: October 12, 2026

Compare across vendors: every price vendors publish

DebtTechIndex research snapshot

Recorded public facts, separated from buyer diligence. DebtTechIndex has not tested this product.

US-market record
Confirmed
Source review date
October 12, 2026
Pricing visibility
Not publicly stated unless the cited page says otherwise
Research status
Read against the eight questions this shelf asks; states none of them in the form required.
Primary category
AR and credit control
Best-fit signals
Dynamics 365 Finance users

Source: learn.microsoft.com · Last checked: October 12, 2026

Company intelligence record

Company fields appear only where the official source supports them. Missing data stays explicit rather than inferred.

Location
Not publicly stated
Coverage
Global
Supported industries
Not publicly stated
Operating model
Centralized view for managing collections information, activities, and cases, enabling agents to begin processes from predefined criteria, customer lists, or specific customer pages.
Company history or scale
Integrated within Microsoft Dynamics 365 Finance, providing automated interest note processing, write-off transactions, and not-sufficient-funds payment handling in single steps.
Documented differentiator
Utilizes customer aging snapshots for real-time balance information and customer pools for organized filtering of activities and cases across unified list pages.

Company source: learn.microsoft.com · Last checked: October 12, 2026 · Recorded confidence: high

Customers named by Microsoft

1. Accenture: Reduced AI application build time by 50% and deployed 75+ generative AI use cases using Azure AI Foundry. 2. Eaton: Reduced standard operating procedure (SOP) creation time from one hour to 10 minutes using Microsoft 365 Copilot. 3. Indiana Pacers: Achieved a 1.14% caption error rate for a live arena captioning service using Azure AI Foundry and Azure AI Speech.

Evidence source: microsoft.com · Last checked: October 12, 2026

Publicly stated capabilities

Retained from the official-source record. DebtTechIndex has not independently tested them.

Credit limits
aging
collection letters
cases
promises
customer holds

Questions to take into an RFI

  1. 01Which source-backed capabilities are active in the configuration you would evaluate?
  2. 02What operating, security, integration, and implementation assumptions should your team validate?
  3. 03Which buyer-fit statements apply to your organization, and which are the vendor's general market positioning?
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Prefer email? Write to enquiries@debttechindex.com naming Dynamics 365 Finance.

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