How autonomous systems turn
operational experience into credible
safety evidence
ITquette research focuses on the operational systems, governance structures, and evidence pathways that help autonomous mobility scale safely, learn continuously, and earn trust over time.
The ITquette Thesis
Autonomous mobility is often discussed as a technology challenge. The conversation typically focuses on perception systems, autonomy stacks, simulation environments, edge cases, and vehicle performance.
These topics matter. But as autonomous systems move beyond testing and into real-world operations, a different challenge begins to emerge.
Organizations must do more than operate safely. They must demonstrate, explain, and continuously improve safety in ways that can be understood by operators, regulators, insurers, and the public.
ITquette explores how autonomous mobility organizations transform operational experience into credible evidence of safety improvement.
This research program examines how organizations learn from operational events, identify recurring patterns, implement corrective actions, measure improvement, and build confidence in their safety claims.
Framework Series
The ITquette Framework Series is a structured body of work exploring how safety evidence is created, interpreted, and trusted as autonomous operations scale.
The Safety Evidence Gap Framework™
Why safety improvement and safety acceptance are not always the same thing. This framework maps how operators, regulators, insurers, and the public rely on different evidence when evaluating AV safety.
Read Framework #1 →
The Scenario Intelligence Framework™
How operational events become organizational learning. This framework explains why collecting incidents is not enough, and how scenario definition turns events into reusable safety intelligence.
Read Framework #2 →
The Incident-to-Improvement Framework™
How organizations demonstrate that risk has actually been reduced. This framework traces the path from incident to investigation, corrective action, validation, safety evidence, and risk reduction.
Read Framework #3 →
The Credible Safety Evidence Framework™
What characteristics must safety evidence possess before different stakeholders consider it credible? This framework identifies the four properties — traceable, verifiable, repeatable, and contextually valid — that separate credible evidence from evidence that merely exists.
Read Framework #4 →
The ITquette Operational Safety Assurance Model™
Five frameworks. One model. This reference diagram shows how all five frameworks connect — from operational event through scenario intelligence, credible evidence, and defensible safety claim, to stakeholder trust.
View the full model →Research Notes
Shorter observations on incident response, safety governance, regulatory relations, and operational readiness in autonomous mobility.
Incidents are sequences, not moments
The hardest part of an incident is often everything after it — triage, evidence collection, handoffs, after action review, and corrective action closure. Trust improves when this lifecycle is consistent and auditable, not just when the initial response is fast. Regulators and city partners do not only ask what happened. They ask what changed afterward.
UL 4600 is a safety argument that must be maintained
Organisations often treat UL 4600 compliance as a milestone rather than a continuous commitment. Safety maturity shows up in governance, not just in testing results. The question is not whether a system passed its initial safety case review — it is whether the safety case remains accurate after 50,000 miles of operational data and three software updates.
Trust is cumulative for cities and regulators
Stakeholders ask what changed afterward, how recurrence is prevented, and how consistency is maintained across markets. The operators who build a track record of transparent, well-documented incident response are in a structurally different position when scrutiny arrives than those constructing their narrative after the fact.
Start narrow, then scale
The instinct in large organisations is to design the complete end-to-end governance system before deploying any of it. In practice this creates frameworks too abstract to implement and too rigid to adapt. Narrow implementation with genuine ownership is more valuable than a comprehensive process that exists only in documentation.
Research Areas
Working through a safety evidence or documentation challenge?
ITquette Autonomous Lab is the research arm of Itquette LLC — a Phoenix-based AV safety operations company. If the frameworks connect with something your organization is actively working through, we welcome that conversation.