By HR Brew Staff
less than 3 min read
Definition:
AI copilots are tools that use large language models (LLMs) to help users interact with large sets of information and data within a platform—or across an entire enterprise tech stack. AI copilots use conversational language to address human questions without requiring a human expert, and help users complete tasks by offering suggestions or explaining content.
Why do AI copilots matter to HR pros?
Many AI copilots are generative AI tools built right into enterprise software platforms. HR teams and their employees encounter AI copilots in many common workplace tools—from Microsoft 365 to BambooHR, from Workday to Canva, and many more. AI-powered copilots use LLMs to help human users leverage structured and unstructured data within an enterprise platform.
AI engineers usually train these tools both on general language models as well as relevant and proprietary business data (like company policy, for instance), which helps HR teams and employees receive on-demand assistance with content creation, analysis and insights, and important company information just by querying the copilot in natural language. Copilots can help identify the exact language of a company policy as easily as they can synthesize people analytics and deliver insights.
Do I need AI training to use copilots?
AI copilots generally don’t require any technical expertise. However, prompt engineering skills can maximize efficacy when engaging with a copilot to ensure the results best address the issue or query. Unlike agentic AI, humans direct their activity. While AI copilots don’t make decisions on a person’s behalf, they can significantly help inform human decisions with the right prompting.
Can you put ATS into context?
“AI copilots ‘accelerate employee search speeds by 95%’ for HR-related queries,” HR Brew reported in 2025.
