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Microsoft Azure@easyJet

How easyJet Runs Applied AI Delivery on Azure OpenAI

easyJet, an industrials organization in the United Kingdom, uses Azure OpenAI from Microsoft Azure to support applied AI delivery for ML and product teams.

Value results

CategoryValue result
CapabilityNamed workflow replaces ad hoc routing for model serving
CapabilityApplied AI delivery stays visible to adjacent teams through Azure OpenAI
CapabilityML and product teams work from the same Azure OpenAI record for model serving

Story

easyJet is based in the United Kingdom and runs industrials operations at a scale where model serving cannot live in side channels. ML and product teams were reconciling competing copies of the same work, which slowed applied AI delivery and hid who owned the next step.

The company runs applied AI delivery on Microsoft Azure, with Azure OpenAI as the product ML and product teams actually open. Microsoft Azure is a public cloud platform for infrastructure, data, AI, and application services used by enterprises to host and modernize workloads. For easyJet, that means ML and product teams can open one workflow, see model serving, and let neighboring teams join without inventing a parallel stack.

Public materials confirm the companies and products. They do not always publish a single verified KPI for this pairing, so the outcome here is operational: clearer ownership, fewer stalled handoffs, and a shared record for model serving.

Relationship map

easyJet uses Microsoft Azure, Pega, Synopsys, Genesys, Infor. Shared with Fujitsu, Hexagon, Krones AG, SPAR Holding BV, Teladoc Health. Industry: Industrials. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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