Microsoft Automotive Italy

Iveco Group

Enterprise Knowledge Search

Iveco Group determined that artificial intelligence (AI) could tackle a wide-ranging opportunity and challenge for the enterprise.

Iveco Group is committed to transforming its business and leading the change to a more sustainable future. It constantly pushes towards new solutions and drives innovation in its products and services. Iveco Group has been pioneering the development of environmentally friendly technologies as part of its commitment to safe, efficient, and ecological mobility. With more than 35,000 employees, Iveco Group manufactures in 20 industrial sites around the world using the most advanced technology. Iveco Group is the home of eight unique, yet unified brands. Its product range includes light, medium, and heavy commercial vehicles (IVECO), powertrain (FPT Industrial), buses (HEULIEZ, IVECO BUS), financial services (IVECO CAPITAL), and specialty vehicles (IDV, ASTRA, and MAGIRUS).

Reported impact

Business outcome

"We used to talk about AI having a ´wow´ effect," says Ricciato, "Now we look for the ´know´ effect, as AI´s becoming a natural tool for our colleagues.

  • Compliance
  • Customer Experience
  • Productivity Improvement
  • Risk Reduction

Solution

Iveco Group, a Automotive organization in Italy, modernized this enterprise knowledge search workload with Azure, Azure OpenAI Service, Azure Operator Call Protection, and Microsoft 365. Iveco Group determined that artificial intelligence (AI) could tackle a wide-ranging opportunity and challenge for the enterprise. Azure provides the scalable cloud foundation hosting the customer’s modernized applications, data, and AI workloads. Azure OpenAI Service runs the large language model workloads that power summarization, generation, or conversational reasoning in the solution. Azure Operator Call Protection supports part of the customer’s Microsoft-based application and data workflow. Operational data and user activity flow through Azure, Azure OpenAI Service, and Azure Operator Call Protection, where the platform processes information and serves outputs back to business users.

Data flow

Operational data and user activity flow through Azure, Azure OpenAI Service, and Azure Operator Call Protection, where the platform processes information and serves outputs back to business users.

Solution architecture

4 components · 3 layers
  1. Compute
    • Azure provides the scalable cloud foundation hosting the customer’s modernized applications, data, and AI workloads.
    • Azure OpenAI Service runs the large language model workloads that power summarization, generation, or conversational reasoning in the solution.
  2. Serving
    • Microsoft 365 provides the productivity suite used as the operating surface for collaboration and content creation.
  3. Uncategorized
    • Azure Operator Call Protection supports part of the customer’s Microsoft-based application and data workflow.

Evidence from the source

"We used to talk about AI having a ´wow´ effect," says Ricciato, "Now we look for the ´know´ effect, as AI´s becoming a natural tool for our colleagues.
Iveco Group determined that artificial intelligence (AI) could tackle a wide-ranging opportunity and challenge for the enterprise.
Iveco Group determined that artificial intelligence (AI) could tackle a wide-ranging opportunity and challenge for the enterprise. Iveco Group is the first manufacturer/automotive company headquartered in Italy to adopt Azure OpenAI services in a production environment by creating an internal smart chatbot called "Chat IVG," leveraging generative AI. As Chat IVG gains wide acceptance, Iveco Group is identifying, experimenting, and expanding AI use for scenarios where everyday work requires access to a large amount of data, communications, and documentation.
Ricciato and his team introduced Chat IVG quickly, making it available initially to just a handful of employees from IT and business functions. These early adopters had the freedom to experiment with AI for a few-days trial period without any pressure to complete specific tasks. An early objective was to teach these new users about AI in a secure, controlled environment. As the trial period ended, this first group was reluctant to give up Chat IVG. And word of mouth soon led other employees to request access. Chat IVG went from five to 25 to hundreds of users. Employees rated Chat IVG 4.7 out of 5 on a Net Promoter Score (NPS) and chose 5 out of 5 when asked whether they wanted to continue using it.
“We go beyond.” That’s key to Iveco Group’s mission—and powers the organization always to be at the cutting edge of technology, to be agile, and to give its customers all possible value as quickly as possible.
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

    Iveco Group customer story

    First-party
    https://www.microsoft.com/en/customers/story/1706380538888475836-iveco-group-azure-openai-service-manufacturing-italy
    Source type
    Vendor-published customer story
    Published
    Nov 28, 2023
    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 Nov 28, 2023 · 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.