Crew · Messenger app
Easy to use
AI agents that keep capital projects on schedule — starting with safety.
Crews report a hazard in 10 seconds. AI routes it to the right owner — across contractors. The fix is verified and closed before work stops.
~10 sec
to report
<10 min
to the right owner
≥50%
fewer SIMOPS & safety workstops
pilot target · vs. baseline
Proactive safety compliance is mandatory. Detection, reporting and action speed make the difference.
9 in 10 mega capital projects miss time or budget. Many delay drivers are locked in at contract — but standby caused by safety actions and stoppages caused by simultaneous operations can be answered proactively, in real time, on site.
- Safety issues reported by phone
- Communication breakdown
- Work stops, following trades queue
- Delay damages
Everyone says safety first. When the schedule slips, is it still treated as the top priority?
Source: Flyvbjerg & Gardner, How Big Things Get Done (2023).
AI agents turn crew signals into managed work.
Requests never stop, and crews are always short. SAiFETY Talk analyzes urgency, risk, and team workload in real time to match the right action team, then tracks every issue transparently until it's closed.
Managers · Dashboard
Less workload
Action Owner · Scheduler app
Work record
Management · Simulation Board
Visible $ value
Built on pilot data feeds
01 / 04
~10 sec · owner in <10 min · crew verifies the fix
- Report / Ask / Recognize
- AI Agents
- Right Action Owner
- Action
- Verified Closed
The scaffolding support team clears request after request, yet new ones keep coming from every corner of the site. Even when a fix is urgent, there's never enough crew to send.
- Crew
Requests that once depended on calling someone you know or asking around for the right person are now handled by urgency, risk, and team workload. Response is faster on average, progress is visible in real time, and crews confirm closure themselves.
- Managers
See each action team's workload in real time, and assign the best-fit team in one click, recommended by AI trained on resolution data.
- Action owners
Every resolved request is logged, so the team's workload builds up as data. That record becomes the basis for requesting more crew and feeds Management's staffing decisions.
FAQ
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