Microsoft Software / SaaS United States

Cassidy

Customer Service Automation

Deploying Azure OpenAI Service, Cassidy supports seamless and efficient automation for various business processes. Cassidy’s platform has supported over 10,000 companies from the healthcare, fashion, operations, and automotive industries. For example, RVezy, a leader in the RV rental space, implemented Cassidy’s solutions to integrate their documentation and streamline their customer support processes, fundamentally reducing the time spent on each inquiry and improving response times.

Additionally, Cassidy's educational content has reached over 200 million viewers, reflecting the growing interest and adoption of AI technologies.
By automating routine inquiries and providing agents with relevant information at their fingertips, RVezy’s customer support team saved over 10 hours per week in total.
Justin Fineberg, Co-Founder, Cassidy Discover more details CUSTOMER Cassidy PRODUCTS Azure SERVICES AND SUPPORT Azure Developer ORGANIZATION SIZE 1-49 employees COUNTRY United States BUSINESS NEED Artificial Intelligence INDUSTRY Commercial Other Industries 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.
With over 60,000 customers, the Azure AI platform’s foundational reliability, privacy, and security capabilities are well-recognized and trusted in the industry.

Reported impact

Business outcome

For example, RVezy, a leader in the RV rental space, implemented Cassidy’s solutions to integrate their documentation and streamline their customer support processes, fundamentally reducing the time spent on each inquiry and improving response times. For instance, RVezy, an RV rental company, used Cassidy to streamline customer support, reducing inquiry time and improving response times.

  • Customer Experience
  • Productivity Improvement

Solution

Cassidy used Azure OpenAI Service, Microsoft Dynamics 365, Microsoft Azure to support customer and agent interactions with AI-assisted automation. Deploying Azure OpenAI Service, Cassidy supports seamless and efficient automation for various business processes. Cassidy’s platform has supported over 10,000 companies from the healthcare, fashion, operations, and automotive industries. For example, RVezy, a leader in the RV rental space, implemented Cassidy’s solutions to integrate their documentation and streamline their customer support processes, fundamentally reducing the time spent on each inquiry and improving response times. Key implementation elements included Azure OpenAI Service generates natural-language responses and task automation for the solution; Microsoft Dynamics 365 provides the common business process layer that standardizes operations; Microsoft Azure hosts the application, data, and integrations on scalable cloud infrastructure. Customer questions enter the...

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

3 components · 2 layers
  1. Compute
    • Azure OpenAI Service Generates natural-language responses and task automation for the solution.
    • Microsoft Azure Hosts the application, data, and integrations on scalable cloud infrastructure.
  2. Orchestration
    • Microsoft Dynamics 365 Provides the common business process layer that standardizes operations.

Architecture clues

  • Emphasizes secure enterprise access to data and AI capabilities.

Evidence from the source

Additionally, Cassidy's educational content has reached over 200 million viewers, reflecting the growing interest and adoption of AI technologies.
Deploying Azure OpenAI Service, Cassidy supports seamless and efficient automation for various business processes. Cassidy’s platform has supported over 10,000 companies from the healthcare, fashion, operations, and automotive industries. For example, RVezy, a leader in the RV rental space, implemented Cassidy’s solutions to integrate their documentation and streamline their customer support processes, fundamentally reducing the time spent on each inquiry and improving response times.
For example, RVezy, a leader in the RV rental space, implemented Cassidy’s solutions to integrate their documentation and streamline their customer support processes, fundamentally reducing the time spent on each inquiry and improving response times. For instance, RVezy, an RV rental company, used Cassidy to streamline customer support, reducing inquiry time and improving response times.
September 24, 2024 Deploying Azure OpenAI Service, Cassidy supports seamless and efficient automation for various business processes.
With over 60,000 customers, the Azure AI platform’s foundational reliability, privacy, and security capabilities are well-recognized and trusted in the industry.
Transparency Evidence & methodology 85/100 reference value · 92% confidence · 2 sources

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 value85/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    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 impact15/25
    1 metric describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence92%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • 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.
  • Source transparency9/10
    2 source references document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    Cassidy customer story

    First-party
    https://www.microsoft.com/en/customers/story/18684-cassidy-azure-open-ai-service
    Source type
    Vendor-published customer story
    Published
    Sep 24, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date
  2. GetLatka

    Cassidy Revenue 2025: $3.1M Est.

    Third-party structured profile
    https://getlatka.com/companies/cassidy.ai

    The profile says: "Cassidy has 38 employees (September 2025, LinkedIn)."

    Source type
    profile
    Supports
    • Company size

Date evidence

  • Published on source page Sep 24, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region. Treat these normalized attributes as lower-confidence until a dedicated source is added.