GUIDE

The Researcher's Guide to Agentic AI

78% of researchers expect agents to run most projects by 2028. The real question is how to adopt them without losing rigor.

Free guide10-minute read

Get instant access 👇

icon

Adoption is moving fast - most teams haven't caught up with a plan

icon Where to start

With so many possible use cases, it's hard to know which part of the workflow to automate first.

icon Abstract use cases

Agent pilots built around hype rather than real research jobs rarely survive contact with actual work.

icon Losing human judgment

Moving fast with agents can mean losing the creativity and oversight that protects research quality.

icon One-off experiments

A single successful pilot doesn't mean your team has built lasting agentic AI capability.

Five practical moves for adopting agentic AI without the hype

1

Start Where It Counts

Identify the highest-value points in your research workflow to introduce agents first - not everywhere at once.

2

Speed Without Sacrifice

Move faster on the parts of research that benefit from it, while protecting the judgment only humans bring.

3

Build Lasting Capability

Design agents around real research jobs and keep humans in the loop, so adoption sticks past the first pilot.

Related resources

Weber global insight communities webinar

Weber's global insight communities

A leader in outdoor grilling, Weber updated its four global communities to better engage younger consumers.

Watch the webinar icon
Market Research Trends

Market Research Trends 2026

Learn the trends and technologies shaping how insight leaders are thinking about impact, quality and engagement in the age of AI.

See the trends icon
The Research on Conversational Research - meta image

The research on conversational research

Learn the impact of conversational research on engagement, data quality and depth of insights.

Dive into the research icon

Recognized and awarded by industry experts.

3-grit
users-love
ngmr