The Impact of Agentic AI on Research

Understand agentic AI and its impact on research workflows

Ever wondered how the world’s leading research and insights teams are moving beyond large language models (LLMs) to deploy autonomous, self-directing AI systems? 

Researchers have heralded the era of agentic AI, where AI independently plans, executes, and refines complex market research workflows. This hands-on course led by Reema Patel, formerly an associate director at the Ada Lovelace Institute, and research director at Ipsos, is positioned at the cutting edge of the next AI transformation - bridging the gap between AI tools as they are currently experienced and fully autonomous research operations.

We will explore:

• what agentic AI is
• a range of specialised AI agents tailored for different social research purposes and advanced qualitative and quantitative analysis
• the implications of agentic AI for the research sector and your workflows
• standards and research ethics guidelines and data ethics implications

By the end of this course, you will gain a solid understanding of a development considered the future trajectory of the research industry.

Learning Outcomes

By attending this course, you will be able to:

• Gain an understanding of agentic AI and its implications for research
• Define the core capabilities of agentic AI and its specific value proposition within research.
• Map and understand the implications of agentic AI for different aspects of your research workflows
• Interrogate, critically assess and evaluate the quality, bias, data governance and ethical compliance of AI-generated insights.

Who Will Benefit?

This course is designed for Mid-to-Senior Researchers, Insight Directors, and Data Strategists who already have a basic familiarity or understanding of how generative AI tools (like ChatGPT or Claude) work and are interested in how AI is likely to shape or change the future of the research in future.

Learning Method

This is an interactive, practical workshop featuring the use of action learning sets, demos, simulations, real-world research case studies, and collaborative group design sprints where you will map out an agentic workflow for a live research brief, explore and evaluate the workflow’s real world impacts.

Course Delivery Mode

Online session that combines learning about agentic AI, and interrogation of agentic AI tools with high-intensity, interactive, peer to peer action learning.

Trainer Biography

Reema Patel has been researching the impacts of AI on sectors and industries since 2015. is a thought-leader in the fields of technology, data and AI ethics, and diversity, equity and inclusion. She founded and established Elgon Social Research, a cutting edge deliberative research agency.? She co-founded the Ada Lovelace Institute where she established its work on public engagement and participation. She is an author of several Ada Lovelace Institute’s reports, including Beyond Face Value, Rethinking Data, The Data Divide and Participatory Data Stewardship among others.