Endava Integrates with Google Agentspace for Agentic AI Capabilities
Endava, a technology-driven business transformation group with an AI-native approach, has announced its partnership as an implementation provider for Google Agentspace. This collaboration aims to accelerate the widespread adoption of agentic AI across industries.
Agentic AI, characterized by autonomous, goal-oriented systems that learn and collaborate independently, represents a significant evolution in the AI landscape. Google Agentspace is positioned at the forefront of this shift, offering a robust platform for enterprises to integrate intelligent, proactive agents into their workflows.
A key component of Agentspace is its multimodal search agent, which acts as a central, conversational interface for accessing enterprise knowledge from diverse structured and unstructured sources like Google Drive, Jira, and SharePoint. This unified access streamlines information retrieval, enabling employees to make faster decisions with AI that anticipates needs and suggests next steps.
Andrew Rossiter, Global SVP of Google Cloud at Endava, emphasized Endava’s critical role in helping organizations leverage the full potential of Agentspace. He stated that Endava’s expertise in cloud-native engineering, enterprise integration, and AI solution design will support clients in deploying intelligent agents aligned with specific business needs, ensuring a smooth and scalable implementation process.
Agentspace also facilitates the deployment of domain-specific expert agents capable of automating multi-step processes, conducting analysis, and generating content for functions like marketing, legal, finance, and engineering. These agents act as true collaborators, enhancing team efficiency and accuracy in complex tasks by autonomously summarizing documents, managing projects, synthesizing insights, and coordinating workflows within a secure enterprise environment.
To expedite adoption, Endava is offering a suite of Agentspace accelerators, including pre-built templates, integration frameworks, and reusable components. These resources are designed to reduce complexity and accelerate the delivery of agentic AI capabilities, allowing organizations to quickly unlock its power without extensive development.
