About the studio
Ethotechnics Studio checks whether high-stakes AI systems can be stopped, overridden, and reversed, then fixes what can’t. Most of the work is in healthcare: health plans deploying AI for prior authorization and claims, companies building clinical AI, and investors deciding whether to back them.
Who runs it
Kanav Jain founded the studio after 15 years building healthcare products at scale, including Doximity Dialer, Transcarent, CancerCompass, Epic, and Andwise. Kanav leads every engagement and brings in collaborators when a project needs them. Full background at kanav.net.
Who calls us
- Health plans putting AI into prior authorization, utilization management, or claims review.
- Healthcare AI companies preparing for a funding round, a large customer, or an FDA submission.
- Investors who need to know whether a healthcare AI product is safe before they close.
- Public-sector and operations teams running benefits, eligibility, or other services where a wrong decision is hard to take back.
What they have in common: a system that makes decisions about people, a stop or reversal that nobody has tested, and a board, a regulator, or a customer about to ask about it.
What we don’t do
We don’t write AI principles, run ethics committees, or produce model cards for the file. The output is working mechanisms: a named person who can stop the system, a rollback that has been rehearsed, and a record of who decided what.
The open framework
The methods come from Ethotechnics, an open framework for measuring who carries the burden when a system fails, and for designing the controls that keep it governable. Its standards, glossary, and diagnostics are free at ethotechnics.org. Longer essays are on The Crumple Zone.
Next step
See the engagements and prices, read a case study, or book a call.