Enabled by the Model Context Protocol (MCP), Avature AI Connect removes barriers between systems in real time, ensuring AI agents inside and outside Avature can securely leverage the context-rich data they need to harness the full power of AI.
When using Avature Copilot, context doesn’t stop at Avature data. With Avature AI Connect, agents can reach across your entire tech stack, collecting the information they need from other systems.
This means a single prompt can deliver a complete, contextual answer that combines Avature insights with data from across the organization.
With Avature AI Connect, third-party and in-house tools such as HR chatbots or AI assistants can securely access authorized data in your Avature instance—from performance notes and job data to manager feedback.
This rich context allows external systems to move beyond generic responses and unlock Avature as a trusted data source to deliver more accurate, personalized answers and perform actions such as updating a workflow step or creating a requisition.
While Large Language Models (LLMs) excel at writing job descriptions or suggesting recruitment strategies, their output is limited without context-rich data.
Avature AI Connect provides controlled access to the Avature data you choose to share, enabling external LLMs to understand your talent intelligence in real time, without repetitive uploads or explanations.
Our vision with Avature is to create a talent acquisition ecosystem that has Avature at the center of everything. It's our platform and we'll use Avature as a springboard to build access to internal and external talent."
Head of Talent Acquisition
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