MicrosoftHealthcareCustomer Service AutomationAI and Machine LearningGenerative AI / LLMCustomer ExperienceSpeed to Market2024MicrosoftMS#0078d4HealthcareUnited StatesVeradigm is a top provider of healthcare data and tech solutions for payers, providers, and life sciences—including billing services via its Practice Fusion EHR platform. It was fielding high volumes of basic medical…As of February 2024, Billerbot appeared to be deflecting 5 percent of billing queries.Apr 3, 20245Customer Service AutomationAzure AI Search · Azure OpenAI Service · Microsoft Azure02024-04-035
Veradigm is a top provider of healthcare data and tech solutions for payers, providers, and life sciences—including billing services via its Practice Fusion EHR platform. It was fielding high volumes of basic medical billing questions. To help customers get faster answers, Veradigm used Azure AI Search, Azure OpenAI Service, and more in a Zammo.ai software solution to develop Billerbot. The generative AI–powered self-help chatbot is programmed to field basic queries about medical terms, processes, and billing.
↗As of February 2024, Billerbot appeared to be deflecting 5 percent of billing queries.
↗I thought, maybe if we insert conversational AI into the Practice Fusion product, we could deflect a portion of these questions ....” Ian Maurer, Vice President of Development, Veradigm Discover more details CUSTOMER PARTNER Zammo.ai PRODUCTS Azure AI Search Azure Operator Call Protection ORGANIZATION SIZE 1,000-9,999 employees COUNTRY United States BUSINESS NEED Artificial Intelligence INDUSTRY Health Provider Explore related stories Stories in this industry Stories about this customer Showing 32 of 98 categories Showing 1-2 of 2 slides Previous slide Next slide We are Microsoft Empowering others Our mission is to empower every person and every organization on the planet to achieve more.
↗Veradigm has a long-term goal of deflecting 10–15 percent of support requests.
Reported impact
Business outcome
To help customers get faster answers, Veradigm used Azure AI Search, Azure OpenAI Service, and more in a Zammo.ai software solution to develop Billerbot. Reducing support calls with Billerbot Billerbot made its debut in 2023, less than a year after the idea was pitched.
Customer Experience
Speed to Market
Solution
Veradigm used Azure OpenAI Service, Azure AI Search, Microsoft Dynamics 365 to support customer and agent interactions with AI-assisted automation. Veradigm is a top provider of healthcare data and tech solutions for payers, providers, and life sciences—including billing services via its Practice Fusion EHR platform. It was fielding high volumes of basic medical billing questions. To help customers get faster answers, Veradigm used Azure AI Search, Azure OpenAI Service, and more in a Zammo.ai software solution to develop Billerbot. The generative AI–powered self-help chatbot is programmed to field basic queries about medical terms, processes, and billing. Key implementation elements included Azure OpenAI Service generates natural-language responses and task automation for the solution; Azure AI Search retrieves enterprise content so answers stay grounded in customer data; Microsoft Dynamics 365 provides the common business process layer that standardizes operations; Microsoft Azure...
Data flow
Customer questions enter the assistant from web, voice, or messaging channels; the ai layer interprets intent and generates responses or actions; answers or next steps are returned to customers, agents, or clinicians through the front-end experience.
Solution architecture
4 components · 2 layers
Compute
Azure OpenAI ServiceGenerates natural-language responses and task automation for the solution.
Azure AI SearchRetrieves enterprise content so answers stay grounded in customer data.
Microsoft AzureHosts the application, data, and integrations on scalable cloud infrastructure.
Orchestration
Microsoft Dynamics 365Provides the common business process layer that standardizes operations.
Architecture clues
Emphasizes secure enterprise access to data and AI capabilities.
Operates with real-time or near-real-time telemetry and analytics.
Evidence from the source
As of February 2024, Billerbot appeared to be deflecting 5 percent of billing queries.
To help customers get faster answers, Veradigm used Azure AI Search, Azure OpenAI Service, and more in a Zammo.ai software solution to develop Billerbot.
To help customers get faster answers, Veradigm used Azure AI Search, Azure OpenAI Service, and more in a Zammo.ai software solution to develop Billerbot. Reducing support calls with Billerbot Billerbot made its debut in 2023, less than a year after the idea was pitched.
Veradigm has a long-term goal of deflecting 10–15 percent of support requests.
Veradigm is a top provider of healthcare data and tech solutions for payers, providers, and life sciences—including billing services via its Practice Fusion EHR platform. It was fielding high volumes of basic medical billing questions. To help customers get faster answers, Veradigm used Azure AI Search, Azure OpenAI Service, and more in a Zammo.ai software solution to develop Billerbot. The generative AI–powered self-help chatbot is programmed to field basic queries about medical terms, processes, and billing.
Review how this reference was scored and trace each normalized claim back to its documented source.
01
Scoring methodology
How scores are calculated
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Customer reference value70/100
Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth20/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact0/25
0 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence95%
Source authority25/25
The deployment is described by the adopting organization or a government source.
Claim traceability23/25
11 of 12 key fields link to a named source.
Direct evidence20/20
5 direct source quotes retained.
Date provenance10/10
The publication date comes from the source page or publisher.
As of December 31, 2024, we had approximately 2,598 employees, with approximately 1,774 employees in the United States and 824 employees located outside of the United States.
Source type
Government or regulatory registry
Supports
Company size
Date evidence
Published on source pageApr 3, 2024 · Microsoft · First-party
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