Microsoft Financial Services United States

ASC Technologies AG

Customer Service Automation · Document Processing · Security and Compliance

Being a technology leader in a highly regulated sector like the financial services industry has never been more challenging and ASC Technologies has been taking on that challenge for the last 60 years.

Reported impact

Business outcome

The partnership between ASC and Microsoft started as software co-development partners on the compliance API in 2018 and has since grown to incorporate additional Microsoft solutions including Microsoft Teams.

  • Compliance
  • Productivity Improvement
  • Revenue Growth
  • Risk Reduction

Solution

ASC Technologies AG, a Financial Services organization in United States, modernized this customer service automation workload with Microsoft Teams, Azure OpenAI Service, Azure AI Studio, Microsoft Cloud for Financial Services, and Dynamics 365. Being a technology leader in a highly regulated sector like the financial services industry has never been more challenging and ASC Technologies has been taking on that challenge for the last 60 years. Microsoft Teams acts as the collaboration surface where users consume insights, copilots, and workflow updates. Azure OpenAI Service runs the large language model workloads that power summarization, generation, or conversational reasoning in the solution. Azure AI Studio provides the managed workspace used to prototype, evaluate, and operationalize generative AI workflows.

Data flow

Business transactions and user requests move through Microsoft Teams and related Microsoft services for orchestration and processing, with Azure AI Studio delivering the resulting workflow and insight to end users.

Solution architecture

5 components · 4 layers
  1. Compute
    • Azure OpenAI Service runs the large language model workloads that power summarization, generation, or conversational reasoning in the solution.
  2. Serving
    • Microsoft Teams acts as the collaboration surface where users consume insights, copilots, and workflow updates.
    • Dynamics 365 provides the core business application platform for ERP, CRM, or service workflows.
  3. Orchestration
    • Azure AI Studio provides the managed workspace used to prototype, evaluate, and operationalize generative AI workflows.
  4. Uncategorized
    • Microsoft Cloud for Financial Services supports part of the customer’s Microsoft-based application and data workflow.

Evidence from the source

And it’s ASC’s AI-driven cloud solutions that not only enable customers to verify industry and country-specific regulations but also analyze customer communications to better serve them. “Based on our experience, a compliance team or compliance officer in a bank can listen to 2-3% of their entire calls, max. That leaves the organization with a risk of more than 97%. And they don't know what's going on in this part of the communication. So, using AI, with Azure OpenAI Service, this risk can be mitigated,” says Henkel.
Being a technology leader in a highly regulated sector like the financial services industry has never been more challenging and ASC Technologies has been taking on that challenge for the last 60 years.
Being a technology leader in a highly regulated sector like the financial services industry has never been more challenging and ASC Technologies has been taking on that challenge for the last 60 years. Partnering with Microsoft to build its cloud solutions on Azure and integrating products like Microsoft Teams and OpenAI enables ASC’s customers to maintain strict industry standards more securely, efficiently, and comprehensively.
The partnership between ASC and Microsoft started as software co-development partners on the compliance API in 2018 and has since grown to incorporate additional Microsoft solutions including Microsoft Teams.
“There are many regulations, depending on the regions or the country. But all these regulations, they have a clear rule on which part of the communication needs to be recorded and documented and archived. And who has access to this documentation, how long should it be stored, and where it is stored. Data governance is a high priority for our FSI customers.”
Transparency Evidence & methodology 61/100 reference value · 87% 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 value61/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity16/20
    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 confidence87%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 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 transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    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

    ASC Technologies AG customer story

    First-party
    https://www.microsoft.com/en/customers/story/1739407694993501688-asc-azure-openai-en
    Source type
    Vendor-published customer story
    Published
    Feb 29, 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

Date evidence

  • Published on source page Feb 29, 2024 · Microsoft · 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.