Recruiting · Production
IHG Hotels & Resorts hires for 6,500+ hotels globally with conversational AI
The problem
IHG struggled to hire during a period when societal views on the hospitality industry were flat, which hurt both their hiring pipeline and their bottom line.
Workflow diagram · grounded in source
1
AI-assisted candidate outreach
ai_action
“some help from AI — they started reaching the right candidates and getting them hired quickly”
2
Stable candidate pipeline
output
“IHG is now able to maintain a stable candidate pipeline and staff their hotels efficiently”
Reported outcome
After shifting their employee value proposition with AI support, IHG started reaching the right candidates and hiring them quickly, and is now able to maintain a stable candidate pipeline to staff their hotels efficiently.
Reported metrics
Hotels covered globally6,500+
Candidate pipeline stabilitystable candidate pipeline
Hiring speedgetting them hired quickly
Reported stack
Conversational Career SitesConversational ATSConversational Scheduling
Frequently asked questions
What did this team achieve with this AI workflow?
After shifting their employee value proposition with AI support, IHG started reaching the right candidates and hiring them quickly, and is now able to maintain a stable candidate pipeline to staff their hotels efficie…
What tools did this team use?
Conversational Career Sites, Conversational ATS, Conversational Scheduling.
What results were reported?
Hotels covered globally: 6,500+; Candidate pipeline stability: stable candidate pipeline; Hiring speed: getting them hired quickly (source-reported, not independently verified).
How is this recruiting AI workflow structured?
AI-assisted candidate outreach → Stable candidate pipeline.