Safety Intelligence
for Autonomous Mobility
ITquette Autonomous Lab researches how autonomous mobility organizations transform operational experience into credible evidence of safety improvement.
Autonomous mobility is not only a technology challenge. It is also an evidence challenge. As systems scale, organizations must show how they learn from operational events, reduce risk, maintain safety claims, and earn trust over time.
Start with the research program.
Explore the ITquette Thesis, Framework Series, and research notes.
Two streams of work
Research
Original frameworks and research notes on safety evidence, scenario intelligence, incident-to-improvement pathways, and operational trust.
Insights
Industry analysis, partnership breakdowns, market intelligence, and commentary on the AV ecosystem as it evolves.
Research focus
Safety Evidence
How organizations create, maintain, and communicate credible evidence of safety improvement.
Scenario Intelligence
How operational events become reusable learning instead of isolated records.
Incident-to-Improvement
How corrective actions become measurable risk reduction across real operations.
Featured frameworks
The Safety Evidence Gap Framework™
Why safety improvement and safety acceptance are not always the same thing.
The Scenario Intelligence Framework™
How operational events become organizational learning.
The Incident-to-Improvement Framework™
How organizations demonstrate that risk has actually been reduced.
Working through an incident documentation or safety evidence challenge?
ITquette Autonomous Lab is the research arm of Itquette LLC — a Phoenix-based AV safety operations company providing incident documentation and operational services to AV fleet operators. If the research connects with something your organization is actively working through, we welcome that conversation.