Designing systems that stop breaking people.
A governance method for designing safe exits, override paths, and correction mechanisms in high-stakes systems.
For health plans, AI companies, and investors who need to prove their systems can be stopped, reversed, and governed. The open framework: ethotechnics.org.
How it works
Three things across every engagement — mapping where burden lands, building safety into the workflow, and making decision paths visible.
Burden Mapping
Find where effort, confusion, and delay pile up in everyday workflows.
Safety Rituals
Design check-ins, support paths, and safeguards teams can use when things get busy.
Clarity Signals
Build feedback loops so people know what changed, where it sits, and what happens next.
How an engagement works
- 1
Map one workflow. Show where burden lands and who holds stop authority.
- 2
Rehearse failure scenarios. Practice escalation, override, and rollback.
- 3
Deploy with instrumentation, escalation paths, and maintenance rhythms.
Services & proof
Clinical AI safety evaluation — $35-50K. VC diligence assessments — $15-25K. Governance readiness sprints — $10-15K.
“Kanav made our decision paths visible in a week. The clarity let the whole team breathe easier.” — Head of Platform, Series C healthtech
“The constraint map became our operating manual. We finally knew which decisions were binding.” — COO, Civic services org
“We shipped with more confidence and kept our release velocity. That’s rare.” — VP Product, AI-native care platform