Complete reporting
Capture event details, location, severity, witnesses, photos, immediate response, and the fields needed for OSHA reporting.
Illustrative airport scenario
A small airport can build a focused safety application that captures mishaps, guides root-cause work, visualizes causal analysis, recommends corrective actions, and tracks each commitment to closure.
THE PROBLEM
Spreadsheets can maintain a list of mishaps and support periodic submissions, but they do little to make the investigative method repeatable. Evidence can remain incomplete, causal assumptions can go unchallenged, and corrective actions can lose momentum after the immediate event.
A useful safety system must connect the original report to evidence, analysis, causal factors, recommended actions, accountable owners, due dates, implementation evidence, and final verification.
In this representative scenario, airport staff describe the current process, test an initial application, and refine the investigation and action workflows over the course of a week.
THE WORKING APPLICATION
Capture event details, location, severity, witnesses, photos, immediate response, and the fields needed for OSHA reporting.
Use focused AI roles to challenge assumptions, identify missing evidence, and help investigators deepen the root-cause analysis.
Recommend corrective actions, accept or reject them explicitly, assign owners and dates, and verify implementation evidence.
STARTING PROMPT
“Build a safety incident management app for a small airport. Let staff log mishaps with photos, location, severity, witnesses, and OSHA fields. Guide investigators through root-cause analysis, use AI investigators to challenge assumptions and suggest missing evidence, draw the causal chain, recommend corrective actions, and let us accept, assign, date, and track every action to verified closure. Replace our Excel tracker without losing export capability.”
RESULT
The airport gains one operational record for the incident, the investigation, the causal model, the decision on each recommendation, and the evidence that the corrective action was implemented.
Graphical causal analysis makes the reasoning easier to review. AI assistance supports the investigator without replacing accountable human judgment, and open actions remain visible until an authorized reviewer confirms closure.
This is an illustrative scenario, not a claim about a named airport or guaranteed safety outcome.
We’ll show how Workshop can turn it into a governed safety-management application.