Putting the Power of Agentic AI Right into Your Academic Workflows

Clarivate, a leading global provider of transformative intelligence, has officially announced the expansion of its Academic AI Platform, which is designed to help institutions harness agentic AI and accelerate productivity, save time, as well as engage users in the digital environments that they already use.

According to certain reports, the stated expansion will have Clarivate introducing AI Agents to support key academic workflows. Furthermore, the company will initiate the development of an Agent Builder, along with community-driven AI tools.

The development in question builds upon Clarivate’s suite of AI-powered research, analytics and metadata assistants, assistants that were introduced back in 2024 and have already been adopted by over 3,000 institutions. In case you weren’t aware, these agents arrived on the scene bearing an ability to leverage curated data and workflow tools from Clarivate, all for the purpose of enabling librarians, administrators, academics, and students to achieve more with greater efficiency and precision.

This they would do while simultaneously ensuring academic values remain integral at every touchpoint.

Anyway, under the given expansion, Clarivate’s first series of AI Agents is expected to include a focus on literature review. Here, the agent will guide researchers through the literature review process by optimizing queries, retrieving and analyzing data from data sources, and summarizing key insights. Not just that, it will also simplify what is often a labor-intensive and time-consuming process of synthesizing literature to help researchers identify themes, gaps and hot topics.

The stated agent is penciled in for launch on April 10, 2025 through the Web of Science Research Assistant.

Beyond that, there will be an AI agent focused on delivering research intelligence at your disposal. You see, Web of Science Research Intelligence will provide powerful analytics for university leaders and research managers to support data-driven decision-making.

In essence, the given technology will address core priorities, such as connecting researchers with potential collaborators, providing comparative insights into research performance, and matching researchers with relevant funding opportunities.

This AI agent will be available to Web of Science Research Intelligence development partners and early adopters by August 2025.

Turning our attention towards Clarivate’s Agent Builder, it would be a flexible environment which enables institutions to create, customize and deploy their own AI-powered tools. This new Agent Builder will effectively democratize the creation of AI agents, and at the same time, help institutions reach users where they are, such as by integrating AI into institutional and library portals, providing learning and discovery services, and more

Another detail worth a mention is rooted in how the stated technology will pack together capabilities like a dedicated prompt builder, workflow orchestration, and system connectors, making it easier for institutions to implement AI solutions without extensive technical expertise.

On top of that, institutions will also have the means to integrate Clarivate curated content sources and software solutions into their AI agents. This they will be able to do through an intuitive low-code/no-code conversational interface.

Markedly enough, these same tools will even power the development of Clarivate pre-built AI Agents to cultivate a seamless and scalable approach across the platform.

Among other things, we ought to mention that, in the pursuit of accelerating innovation and adoption of the Academic AI Platform, Clarivate is set to introduce a Development Partner Program, where it will invite academic libraries to co-create and refine AI-driven solutions.

“With the expansion of the Clarivate Academic AI Platform, we’re introducing AI Agents and the Agent Builder to foster a collaborative ecosystem where institutions can develop, refine, and share AI-powered solutions built on curated content. This approach builds on past community-led innovation—such as Cloud Apps and the Developer Network—ensuring that AI supports institutional priorities. By working together, we can shape AI in ways that are transparent, responsible, and deeply aligned with academic values,” said Oren Beit-Arie, senior vice president of Strategy & Innovation at Clarivate.

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