Pattern detection
Spot recurring hazards, missing records, training gaps, and repeated issues across projects.
Strawboss uses AI to read across inspections, incidents, training records, FLHAs, JHAs, photos, and PDFs while keeping source records attached for human review.
AI is only useful in EHS when it respects evidence. Safety teams cannot run on generic chatbot answers. They need a system that knows which record a claim came from, which project it applies to, and who still needs to review the output.
The platform helps turn raw inputs into usable safety work: a short weekly action list, a drafted incident summary, a cleaner JHA, or a report that links back to the inspection and photo evidence behind it. The person responsible for safety still reviews and approves the output.
Because the AI operates inside the safety record system, it can work with context that a general chat tool does not have: project, crew, inspection history, training status, incident details, and the jurisdictional obligations connected to the work.
A good AI EHS pilot should not start with a blank prompt. It should start with the messy records you already have, then measure whether the platform makes the next safety decision faster, clearer, and easier to prove.
Spot recurring hazards, missing records, training gaps, and repeated issues across projects.
Draft investigations, JHAs, SOPs, and weekly summaries from source safety records.
AI output stays in the safety workflow so managers can approve, revise, or reject it.
Bring one inspection pack or incident file and see what Strawboss can summarize, connect, and draft.