This is a test

The problem: good talks, bad records

Supervisors hold toolbox talks before shifts start, but tracking who attended, what was covered, and the follow-up actions means paperwork after the meeting. Sign-in sheets get lost, notes are inconsistent, and proving compliance during audits becomes a scramble through folders.

It is not the talk that fails, it is the record of it. The safety conversation happens, the crew engages, hazards get raised. Then the supervisor is left to reconstruct attendance and discussion points later from memory and a paper sheet, if that sheet has not already gone missing. Every talk that is captured late, half-filled, or not at all is a gap that only shows up when it is most expensive: at audit.

How to run a toolbox talk with AI

The supervisor still runs the talk. AI only takes over the part that was always the problem: turning what was said into a clean record. Here is the flow.

The supervisor stays in control

The supervisor reviews the populated form, confirms attendance is accurate, edits discussion points as needed, and approves before the crew starts work. Actions can be reassigned or modified before sign-off.

This is the part that matters for a safety record. Storm never commits a record on its own. Every output is a draft for human review. The AI removes the typing, not the judgement. The person who ran the talk is still the person who signs it off.

A complete record before the crew heads out

The record is created as the meeting happens. Attendance is captured digitally, key points are logged from voice notes, and actions are assigned on the spot. Supervisors focus on the discussion instead of note-taking, and safety meetings become audit-ready records without extra admin work.

The value compounds over time. Records link to individual worker profiles in Dashpivot, building attendance history and action tracking across multiple meetings and sites. So when the auditor asks for last quarter's talks, they are already there, complete and searchable.