We help operations, GTM, and non-engineering teams ship agents, tame AI slop, and cut runaway token costs.
Everyone has a ChatGPT tab open. Nobody is building, scaling, or rethinking work around it. We embed, pick the three workflows worth automating, and put real agents in production inside a quarter.
Outputs drift between runs. Nobody trusts a result without a person checking it. Half a dozen GPTs and prompts live in Slack DMs and Notion docs. We bring evals, structure, and the muscle to say no to bad outputs.
You proved it works. Now the bill is climbing faster than usage and finance is asking questions. We measure the cost of every task, swap expensive calls for smaller models where it won't hurt quality, and cut spend without cutting output.
An innovation-scouting team relied on ten PhDs to surface technical partners, screen them, and brief executives. We rebuilt the workflow as three composable agents, owned by one engineer.
Ten PhD scouts compressed into three composable agents. $122k per year in savings, scouting volume 2x, north-star metric 3x.
One email. We reply within a day with a read on which of the three you're in and what a first move looks like.
neil@intolabs.ai