trivago

Solution

trivago worked with IBM Consulting to build trivago Copilot as a unified, multi-provider generative AI platform for internal productivity, knowledge access, and workflow execution. IBM Digital Product Design and Engineering Consulting helped the company create a governed cloud-based foundation that supports multiple LLM providers while preserving EU data residency and digital sovereignty. On top of that foundation, trivago connected email, Slack, documentation systems, and task tools into an enterprise search and retrieval-augmented generation experience so employees can ask questions against internal knowledge rather than hunting across systems manually. The platform also executes actions such as sending Outlook emails, summarizing Slack threads, and creating Jira tickets, turning it from passive search into active workflow automation. Company-wide learning sessions and an AI ambassador network drove adoption, making the copilot a routine part of how teams document work, prepare plans, and move from idea to execution without losing control of governance or regional data boundaries.

Data flow

Internal emails, Slack messages, and documentation are indexed into trivago Copilot, RAG retrieves the relevant enterprise context, the platform returns grounded responses or triggers actions like Outlook messages and Jira updates, and all interactions remain inside trivago’s controlled EU-resident environment.