The Generalist Agent Trap
Perplexity just launched an AI “digital worker” for $200 a month. It reasons, searches, codes, and builds. Here’s the problem nobody’s talking about.
General-purpose AI workers are the new “we’ll figure it out later.”
- They can do 100 things at a 60% level.
- They can’t do one thing at a 99% level.
- In healthcare, 60% accuracy means denied claims and lost revenue.
At BAM AI, we took the opposite approach. We didn’t build a “do everything” agent. We built agents that do one thing better than any human doing it manually:
- Verify insurance eligibility in real time — not 45 minutes on hold.
- Submit clean claims that don’t get denied.
- Chase denials automatically until they’re paid.
The result is practices recovering six figures in revenue that was just sitting in unpaid claims — not because the AI is smarter, but because it actually knows the domain: the payer quirks, the portal workflows, the denial codes, the appeal formats.
The companies winning with AI aren’t buying general-purpose digital workers. They’re deploying specialized agents that know the domain.
Would you trust a generalist or a specialist with your revenue? Your customers already know their answer. Build accordingly.