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AWS Manufacturing Global

Holcim

Document Processing · IT Operations Automation

Becoming a cloud-first organization and embracing the possibilities of generative AI offered Holcim the opportunity to enhance agility and operational efficiency. By addressing the limitations of traditional data centers, Holcim wanted to position itself to deliver more innovative, scalable services and foster sustainable growth.

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85% growth in teams trained on AWS in just 1 year
In the first 2 years, more than 50 training sessions were delivered on topics ranging from generative AI and machine learning to data engineering and cloud security.
The I&O Skills Guild helped us build AI-powered solutions that have reduced 90 percent of manual processing, freeing up focus for strategic priorities.
The program achieved impressive engagement, with an 85 percent participation rate and a 38 percent increase globally in teams trained in AWS services.

Reported impact

Business outcome

The I&O Skills Guild has been instrumental in Holcim’s successful cloud transformation, and the new culture of collaboration and innovation quickly delivered tangible business outcomes with the AWS Cloud and generative AI. One group of employees, many of whose members had taken part in the program, developed Omnivore, an AI-powered invoice processing system powered by large language models. Key reported metrics include participation rate in the I&O Skills Guild 85%; 85% growth in teams trained on AWS in just 1 year; growth in teams trained on AWS in just 1 year 38%.

  • Cost Reduction
  • Risk Reduction
  • Scalability

Solution

Holcim is transforming its business with the cloud and empowered its staff to innovate by launching a cloud upskilling program, the I&O Skills Guild. Holcim is a global leader in innovative and sustainable building solutions. Based in Europe and operating in more than 70 countries, Holcim’s 63,448 employees are driven by the purpose of building progress for people and the planet across regions and improving living standards for all. As part of Holcim’s vision of maintaining industry leadership and being ready for whatever the future holds, it embarked on a cloud-first strategy, modernizing its infrastructure and business applications and utilizing generative AI to drive innovation and enhance efficiency. Leaders at Holcim recognized that, in the face of rapid technological change, the shift was about more than just new infrastructure and applications: Holcim would also need to build internal cloud expertise and start a cultural shift toward collaboration and innovation.

Solution architecture

0 products mentioned

Architecture clues

  • Based in Europe and operating in more than 70 countries, Holcim’s 63,448 employees are driven by the purpose of building progress for people and the planet across regions and improving living standards for all.
  • Leaders at Holcim recognized that, in the face of rapid technological change, the shift was about more than just new infrastructure and applications: Holcim would also need to build internal cloud expertise and start a c
  • With AWS cloud technology, a skilled and empowered workforce, and an innovative cloud-first culture in the organization, Holcim is poised to capitalize on emerging trends, including increasing demand for sustainable cons

Evidence from the source

85% growth in teams trained on AWS in just 1 year
Becoming a cloud-first organization and embracing the possibilities of generative AI offered Holcim the opportunity to enhance agility and operational efficiency. By addressing the limitations of traditional data centers, Holcim wanted to p
In the first 2 years, more than 50 training sessions were delivered on topics ranging from generative AI and machine learning to data engineering and cloud security.
The I&O Skills Guild helped us build AI-powered solutions that have reduced 90 percent of manual processing, freeing up focus for strategic priorities.
The program achieved impressive engagement, with an 85 percent participation rate and a 38 percent increase globally in teams trained in AWS services.
Using the AWS Skills Guild model, Holcim customized the framework to fit its business requirements and launched the I&O Skills Guild.
Transparency Evidence & methodology 75/100 reference value · 81% 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 value75/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth5/25
    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 impact25/25
    6 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence81%
  • 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
    6 direct source quotes retained.
  • Date provenance8/10
    The publication date comes from publisher-controlled metadata.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity4/10
    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. AWS

    Holcim customer story

    First-party
    https://aws.amazon.com/solutions/case-studies/holcim-case-study/
    Source type
    Vendor-published customer story
    Published
    Jan 22, 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

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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