Inside Agentic AI: Enterprise Guide for Data & Business Leaders

Agentic AI always looks good in a demo, but this ebook is about the harder problem: getting it to deliver answers that hold up in front of a regulator, a board, or a skeptical exec.

ThoughtSpot's 2026 survey of 1,200 global leaders found that 39% wait more than 24 hours for a single insight, and nearly a quarter wait a week or longer. And in the agentic era, you can’t afford to wait.

Inside, you'll see how:

Huel cut stakeholder tickets by more than half and achieved 60% self-service adoption.
Matillion eliminated 80% of ad hoc data requests, saving £75,000 per year in analyst hours.
Midas Pharma transformed spreadsheet exports into 10,000+ visualizations every month.
Austin Capital Bank reached 80% monthly active adoption across its management team.
Navan enabled finance teams to query data independently while maintaining automated SOX and GDPR compliance.
easyJet Holidays cleared its data backlog and grew adoption to 60–70% of its workforce using data every week.
The honest deployment checklist analysts use before committing to a platform

The proof runs across six industries. Here's how you put it to work.

The biggest business impact [of agentic AI] for us was when the executive leadership can go and ask their own questions, find the problem, and find a solution for it, without having to wait for weeks and months to get a new report or a new data set prepared for them. That's the biggest impact, and that's the biggest problem.

AJ Subbarao
Director of Business Intelligence & AI at Intuitive Surgical