What challenges did Vodafone face before AI implementation?

Modernize a mission-critical SAP ERP that was running on-premises Improve ERP response time and integration processing Speed up innovation by enabling SAP systems to be spun up on demand Reduce carbon emissions and hardware costs by retiring legacy infrastructure Complete the migration with zero business disruption

What was the impact of the AI solution?

ERP response time improved by 12%. The integration layer saw 50% faster processing time. Innovation speed increased by up to 7x. Month-end close was reduced from 15 days to 5 days. Decommissioning more than 350 servers is expected to save 700 tons of CO2 a year and approximately €400,000 in energy savings.

Source

GCPExpanded

Vodafone migrates SAP ERP to Google Cloud and pilots generative AI with Gemini

Use case typeAI platformUpdated Jun 13, 2026

Vodafone migrated its SAP ERP to Google Cloud as part of its EVO2CLOUD initiative, moving a mission-critical enterprise platform that serves around 100,000 employees and contains 200 TB of data. The company also uses its Nucleus data platform on Google Cloud with BigQuery for consolidating internal, external, and third-party data sources, and ran a generative AI pilot using SAP SuccessFactors data with Google Gemini Pro 1.5 to update and enrich training catalogs, course descriptions, and tags.

Organization: Vodafone
Industry: Tech & Comms
Location: United Kingdom
Published: January 2024

Reported outcomes

quantified impactTime & speed

+12%time−50%time15 daysquantified impact5 daysquantified impact

Strategic outcomes

Speed & agilityEnabled on-demand SAP system spin-upSustainability & ESGReduced carbon emissions from infrastructure retirementBetter decisions & insightConsolidated data for analytics and process miningNew product / capabilityPiloted generative AI for training content enrichment

Catalog median for time & speed deployments: +80% across 203 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 4

1Cloud migration
2Generative AI pilot
3Process optimization

Modernize a mission-critical SAP ERP that was running on-premises
Improve ERP response time and integration processing
Speed up innovation by enabling SAP systems to be spun up on demand
Reduce carbon emissions and hardware costs by retiring legacy infrastructure
Complete the migration with zero business disruption

Vodafone migrated more than 300 SAP VMs across four environments to Google Cloud in a two-year program with Google Cloud, SAP, and Accenture.
The company uses BigQuery on Google Cloud to consolidate data and support analytics and process mining.
Vodafone piloted Google Gemini Pro 1.5 with SAP SuccessFactors data to enrich training catalogs, course descriptions, and tags.

Technologies

Google Cloud BigQuery Gemini SAP SuccessFactors

ERP response time improved by 12%.
The integration layer saw 50% faster processing time.
Innovation speed increased by up to 7x.
Month-end close was reduced from 15 days to 5 days.
Decommissioning more than 350 servers is expected to save 700 tons of CO2 a year and approximately €400,000 in energy savings.

Architecture

Vodafone's EVO2CLOUD initiative migrated SAP workloads from on-premises infrastructure to Google Cloud across four environments, with over 300 SAP VMs moved in a coordinated program involving Google Cloud, SAP, and Accenture. The company also uses its Nucleus data platform on Google Cloud with BigQuery, and piloted generative AI with Gemini Pro 1.5 on SAP SuccessFactors data.

Implementation partners2

Accenture SAP

Sources & evidence1

ExpandedExpanded

The same organization appears in newer AI deployment evidence.