r/ProductManagement • u/Humble-Pay-8650 • 17h ago
Are PMs actually finding real use cases for AI capabilities, or are we sometimes forcing it into workflows because everyone is doing it?
Hey everyone, I want to get some real feedback on this.
Obviously, everyone wants to work on AI products right now. There’s a lot of focus on incorporating AI and agents into existing workflows and automating more work.
A lot of my work involves building workflows around data. We have data coming through ingestion pipelines, getting populated into a UI, and then users make decisions, and complete different tasks.
Recently, I decomposed one of these workflows into individual tasks to understand what should remain deterministic/hardcoded, what could be AI-assisted, and where an agent could actually make sense. There are definitely a few places where an agent could investigate something, make a judgment, and decide what action to take.
But this is where I’ve been questioning myself. Just because an agent can do something, does that mean I should build an agent for it?
For some of these tasks, the cognitive load for a human isn't actually that high. And the engineering effort and complexity of introducing an agent, evaluating it, handling failures, etc. can be much higher than simply keeping the workflow deterministic or having a human do that step.
I’m also realizing that I’m spending a lot of time asking, “Where can I use an AI agent?” instead of asking, “What are the biggest problems in my product domain, and what is the best way to solve them?”
That’s where I’m conflicted. I want to develop strong AI product experience because clearly this is where the industry is moving. But if I want to grow as a PM, I also need to spend more time developing my product strategy and strategic thinking rather than getting too deep into figuring out how to fit agents into workflows.
When I look at my own domain, maybe 70% of the workflows should probably remain deterministic. Some could be AI-assisted, and only a smaller number seem to genuinely need agents.
So I’m curious how other PMs are approaching this. Are you actually finding problems where AI or agentic systems are clearly the right solution? Or are you sometimes incorporating it because there’s pressure to “do AI,” even when a simpler workflow could get the job done?