Fluent, Inc. Innovation & Technology Culture

Can you share an example of how you’re using AI in your day-to-day work and what problem it helps you solve?

I’m a business intelligence engineer and a lot of my work involves tracing data discrepancies through a large, interconnected pipeline. I’ve started using AI to help with that tracing: instead of manually re-reading every stage, I walk through the logic with it and it helps me spot where the breakdown is actually happening. It hasn’t replaced the judgment part, knowing what ’correct’ looks like is still on me, but it’s cut down significantly on the methodical work that used to eat up hours.

How has your company supported you in experimenting with AI or building new AI-powered solutions?

Fluent has treated this as a skill to develop, not just a tool to hand out. I’ve had access to a connected AI assistant that can pull context from the systems I actually work in, so it’s not operating blind. My own usage patterns were also evaluated at one point — a useful check, since it’s easy to assume you’re using these tools well when you’ve only scratched the surface. That’s translated into real output: I helped take a new internal product from idea to deployment to reporting in a matter of weeks and separately led a rebuild of one of our core dashboards that’s now fully in production. Both moved faster than they would have otherwise, because I had the access and the confidence to try things without worrying it’d be wasted effort.

How has working with AI changed the way you think about your own career or future growth?

It’s shifted where I spend effort — less time on the mechanical parts of the job (boilerplate queries, repetitive formatting, first-draft documentation) and more time on judgment calls. That’s changed how I think about my own growth: less “learn more tools” and more “get better at the parts of the job that are hard to automate” — knowing which questions to ask, understanding the business logic behind the data, catching things that look fine but aren’t. AI raised the floor on execution speed. It didn’t lower the bar on needing to actually understand the system.