OpenAI Financial Services global Company newsroom

Allianz

Document Processing · Enterprise Knowledge Search

Allianz needed a secure, compliant way for employees to use generative AI with internal company content in daily workflows without exposing data to public models or violating ethical AI, compliance, and privacy standards.

all 158,000 Allianz employees worldwide
over 60,000 active users
over ten million prompts to date
sixty instances of AllianzGPT Premium across Allianz

Reported impact

Business outcome

AllianzGPT gives employees a secure, compliant way to use generative AI at scale, cutting time for summarization, translation, and comparison tasks from hours or days to minutes or seconds while broadening AI adoption across functions such as risk consulting, audit, and actuarial work.

  • Compliance
  • Productivity Improvement
  • Scalability

Solution

Allianz built AllianzGPT as an internal generative AI platform for employee workflows and launched it globally in September 2023. The application serves as the user-facing layer for chat, document analysis, translation, summarization, comparisons, and communication support. It ingests prompts together with internal Allianz content and company documents, including content stored in folder and subfolder structures, then routes requests to ring-fenced model instances rather than public services. The initial release used OpenAI's GPT-3.5, and the platform later added OpenAI GPT-4o for chat, DALL-E for image creation, and DeepSeek for additional experimentation. Allianz states that all data shared with these models remains inside the Allianz Azure Cloud provided by Microsoft, which supplies the protected hosting environment for confidential processing. The platform is delivered in Standard and Premium tiers, with Premium instances tailored to functions such as audit, risk consulting, and actuarial work.

Data flow

Employees submit prompts and internal documents or knowledge through AllianzGPT, which combines that internal content with ring-fenced model access to GPT-3.5, GPT-4o, DALL-E, or DeepSeek inside the Allianz Azure Cloud. The system analyzes company content, generates responses or document outputs, and returns answers with references such as document sources and page numbers for user verification.

Solution architecture

8 components · 3 layers
  1. Compute
    • OpenAI's GPT-3.5 It powered the initial version of AllianzGPT for text generation and language understanding.
    • OpenAI GPT-4o It is the current chat model offered within AllianzGPT for employee interactions and task support.
    • DALL-E It provides image creation capabilities inside the AllianzGPT environment.
    • DeepSeek It is offered as a ring-fenced internal model so employees can safely test and assess another generative AI option.
  2. Storage
    • Allianz Azure Cloud It hosts the protected environment where Allianz says all information shared with AllianzGPT models remains confidential.
  3. Serving
    • AllianzGPT Allianz's internal chatbot provides employees with secure generative AI access, tailored responses, document analysis, and actionable insights.
    • AllianzGPT Standard It is the general productivity tier available to all employees for everyday AI-assisted work.
    • AllianzGPT Premium It is the specialized tier for functions such as audit, risk consulting, actuarial, and other business areas.

Architecture clues

  • All information shared with models in AllianzGPT stays within the Allianz Azure Cloud.
  • Premium supports specific functions including audit, Risk Consulting, and actuarial.
  • Responses are designed to include document sources and page numbers for explainability and cross-checking.
  • Ring-fenced internal versions of GPT-4o, DALL-E, and DeepSeek are separate from vendors' public cloud services.
  • The platform has two tiers: AllianzGPT Standard and AllianzGPT Premium.

Evidence from the source

"All information that’s shared with any of the models in AllianzGPT stays within the Allianz Azure Cloud. The Azure cloud environment, provided by Microsoft, ensures data confidentiality."
"AllianzGPT, Allianz’s internal chat bot, combines the power of generative AI with secure, internal data integration."
"As of early 2025, AllianzGPT offers OpenAI GPT-4o for chat and DALL-E for image creation."
"Officially launched on September 1, 2023, AllianzGPT now serves over 60,000 active users, with the goal of being available to all 158,000 Allianz employees worldwide."
"Tasks that previously took hours or even days, such as document summarization, translation, and complex comparisons, are now being completed within minutes or even seconds."
"The initial version was based on OpenAI’s GPT-3.5"
"The platform strictly adheres to compliance and data privacy standards."
"We have a weekly engagement usage rate of 95% among active users, who have generated over ten million prompts to date."
Transparency Evidence & methodology 90/100 reference value · 94% confidence · 1 source

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 value90/100
  • 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 scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence94%
  • Source authority25/25
    The deployment is described by the adopting organization or a government source.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    8 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference 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. Allianz

    Allianz customer story

    First-party
    https://www.allianz.com/en/mediacenter/news/articles/250218-ai-at-allianz-the-impact-of-allianzgpt.html
    Source type
    Customer-published story
    Published
    Feb 18, 2025
    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

Date evidence

  • Published on source page Feb 18, 2025 · Allianz · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.