NonprofitOperations

How WEF Uses Salesforce Agentforce to Support 3,000 Davos Leaders

The World Economic Forum deployed Salesforce Agentforce as EVA, an AI concierge for Davos 2026, resolving 75% of attendee inquiries instantly and generating personalised briefings for 3,000+ global leaders across 450+ sessions.

Outcomes

75%Attendee inquiries resolved instantly by AI
3,000+Global leaders supported simultaneously
6 weeksTime to rebuild EVA on Agentforce

Tools & Technologies

1T
Tableau
Data analytics and visualization platform by Salesforce for interactive dashboards and business reporting.
2M
MuleSoft
Integration platform for connecting applications, data, and APIs across cloud and on-premise systems.
3SA
Salesforce Agentforce
Platform deploying autonomous AI agents for customer service, sales, and employee tasks across Salesforce.
4SD
Salesforce Data Cloud
Real-time data platform for unifying customer data across Salesforce.

AI Categories

Challenge

WEF needed to deliver real-time, personalised experiences for 3,000+ global leaders navigating 450+ sessions and thousands of bilateral meetings at Davos, without a proportionally large operations team.

Solution

Salesforce Agentforce powered EVA, an agentic concierge grounded in WEF institutional data via Data 360, autonomously resolving attendee inquiries, generating briefings, and personalising session recommendations across the full event.

Full Story

The World Economic Forum's Annual Meeting in Davos brings together over 3,000 heads of state, CEOs, and global leaders for one of the most logistically complex events on the international calendar. Attendees face 450+ sessions, thousands of bilateral meetings, and an overwhelming volume of institutional knowledge to navigate — all while managing schedules where every hour carries significant opportunity cost. The challenge for WEF was turning that complexity into a seamless, personalised experience without scaling a large operations team.

Access 451+ AI use cases, 424+ tools, and adoption signal rankings.

Source

SALESFORCE
January 2026
Original case study

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