Recruitment and workforce solutions firm Hays has rolled out enterprise-grade Microsoft 365 Copilot, Copilot Studio and AI agents to more than 8,000 employees worldwide, aiming to cut admin work, sharpen consultant preparation and deliver richer market insight — freeing recruiters to focus on judgement, relationships and client conversations.
From Everyday Copilot to Enterprise-Grade AI
Hays has used Microsoft Copilot for several years, and the firm describes this rollout as the next phase of that journey — moving from established, everyday AI use to broader access to advanced enterprise-grade capabilities across its global workforce.
Mark Dearnley, Chief Executive Officer at Hays, says AI is helping consultants prepare for meetings, capture and summarise key discussions, surface relevant insights and reduce time spent on administrative tasks — giving them more time to build relationships and provide expert advice.
"We see AI as a net positive for recruitment"— MARK DEARNLEY, CHIEF EXECUTIVE OFFICER, HAYS
Where the Industry Sees the Value
According to the Recruitment and Employment Confederation, recruitment businesses are already applying AI to reduce the admin burden of note-taking and CV formatting, improve CRM and ATS searches to identify the right candidates, and automate data collection — the same themes underpinning Hays' expanded deployment.
By embedding AI into everyday workflows, Hays aims to improve response times, strengthen consultant preparation, provide richer market insight for clients and free up more time for advisory conversations with customers and candidates.
Microsoft's Wider AI Partner Network
OpenAI collaborates deeply with Microsoft to power Azure AI infrastructure, enabling enterprise clients to deploy advanced language models and automate complex workflows. Accenture co-founded Avanade with Microsoft, a joint venture built to deliver solutions across the Microsoft ecosystem and help multinational businesses modernise legacy software.
NVIDIA maintains an extensive alliance with Microsoft to power cloud-based AI infrastructure within Azure, supplying the computing platforms and hardware capabilities needed to train large generative models for enterprise customers.
