Ugly processes = untapped margins
We are not in the “build an AI chatbot and pray” phase anymore.
The path to $10M ARR in AI is clear, but only if you start automating the workflows nobody wants to touch.
Not consumer toys. Not vague productivity tools.
I’m talking about the industries where “digital transformation” peaked with Windows XP.
Sectors full of regulations, legacy systems, and spreadsheet spaghetti, where six-figure errors happen weekly and the only software upgrade is a new intern.
These aren’t sexy markets. But they’re waiting for the right agent chains to flip the switch.
Because in B2B AI, boring equals billions.
Most AI founders are stuck in the wrong mindset.
They’re building monolithic, general-purpose “do-it-all” AI agents that promise to automate everything and end up delivering nothing.
These products:
Require too much context to be reliableMake opaque decisions that kill trustDemand complete workflow overhauls from customersAnd worst of all, they sell poorly in regulated industries
You don’t need a master agent. You need a chain of specialists.
Small, narrow agents, each focused on a single, high-friction task:
Extracting data from complex docsSpotting anomalies in real-timeSummarizing info into reportsScheduling and remindersCommunicating updates clearly
Chain them together, and suddenly you’ve replaced five salaried humans with a network of highly efficient AI systems.
Why hasn’t software eaten these workflows? Because SaaS was built for order, and these industries run on chaos.
