D&B Receivables Intelligence powered by FIS GETPAID
Accounts receivable software
Accounting & finance software
- Features
- Ease of use
- Ease of management
- Quality of support
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- Market presence
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What is D&B Receivables Intelligence powered by FIS GETPAID
D&B Receivables Intelligence powered by FIS GETPAID is an accounts receivable (AR) and collections solution that combines Dun & Bradstreet business data with the FIS GETPAID AR automation platform. It supports credit-to-cash workflows such as customer risk assessment, collections prioritization, dispute management, and cash application reporting. The product is typically used by finance and AR teams that want to align collections actions with third-party business and risk signals. It differentiates by embedding Dun & Bradstreet data and analytics into an AR operations platform rather than operating as a standalone invoicing tool.
Integrated third-party risk signals
The solution incorporates Dun & Bradstreet company and risk data into AR decisioning and collections workflows. This can help teams segment customers, prioritize outreach, and adjust credit/collections strategies using external firmographic and risk indicators. It is particularly relevant for B2B portfolios where customer financial health and corporate structure changes affect payment behavior.
Credit-to-cash workflow coverage
FIS GETPAID is designed to support multiple AR processes beyond invoice creation, including collections work management and dispute handling. This broader workflow scope can reduce reliance on spreadsheets and disconnected tools for end-to-end AR operations. It is better aligned to AR operations needs than products focused primarily on payments acceptance or simple invoicing.
Enterprise governance and controls
The platform orientation supports standardized processes across teams and business units, which can be important for larger organizations. Centralized policies, user roles, and auditability are typically easier to enforce in an AR operations platform than in lightweight invoicing tools. This can help organizations maintain consistent collections practices and reporting.
Implementation and change effort
Deploying an AR operations platform with embedded third-party data typically requires configuration, data mapping, and process redesign. Organizations may need to align credit policies, collections stages, and dispute codes to get consistent results. This can make time-to-value longer than simpler invoicing or SMB-oriented AR tools.
Best fit for complex B2B AR
The product focus on credit-to-cash operations and risk-informed collections may be more than what smaller teams need. Companies with straightforward invoicing and low dispute volume may find the feature set heavier than necessary. In those cases, lighter AR automation or invoicing-first products can be easier to adopt.
Data dependency and coverage limits
Insights depend on the availability and quality of third-party business data for a given customer base and geography. If many customers are small, newly formed, or outside strong data coverage regions, the incremental value of embedded risk signals may be reduced. Teams may still need internal payment history and ERP data to validate and tune collections strategies.
Seller details
Dun & Bradstreet Holdings, Inc.
Jacksonville, Florida, USA
1841
Public
https://www.dnb.com/
https://x.com/DnBUS
https://www.linkedin.com/company/dun-&-bradstreet/
