AI at work sounds impressive from a podium. Mohit Rajhans hears a different set of questions when he visits businesses, and his perspective helps you see the gap between announcements and daily decisions. What do people need answered before they can rely on these tools?
A task that had worked for a year suddenly took repeated corrections on one platform. The same instructions worked on another. If your workflow depends on a tool behaving consistently, how much time does a supposed shortcut save when it stops cooperating?
Mr. Rajhans says some companies are now asking departments to account for the tokens their AI work consumes. That turns a promise of efficiency into a question about cost and value. What should a business measure before calling its AI investment a success?
Topics: AI at work, reliability, business workflows, token costs, AI investment
GUEST: Mohit Rajhans | http://mohit.ai | http://thinkstart.ca
Originally aired on2026-09-25
