AnswersFrontline work
In short
AI reaches frontline and field workers through the interfaces they already use: voice, the phone camera and messaging, with no new app or training. It helps them find the right procedure, log work as it happens, order parts and get answers on site. What blocks it is operational: identity, shared devices, patchy connectivity and language, each with a known fix.
| Blocker | What it looks like | What fixes it |
|---|---|---|
| Identity | Workers without a company email or a login. | Sign-in by phone number or badge, tied to the worker's role. |
| Shared devices | One tablet per crew, passed between shifts. | Per-person sessions and access that follows the worker, not the device. |
| Connectivity | Basements, plants, rural sites and moving vehicles. | Capture offline and sync later, with voice and photos queued. |
| Language | Crews that work in several languages. | Agents that listen and answer in the worker's language. |
Logging work by voice or photo as it happens, so the record is complete. Pulling the right procedure, manual or safety step for the equipment in front of the worker. Reporting an issue with a photo and getting the next step. Ordering parts and checking schedules without a call to the office.
In field operations, the expensive problem is often a thin record of the work: durations estimated, parts guessed, proof missing. When AI captures the work as it happens, scheduling, parts forecasting, billing and compliance all improve, because each depends on that record.
Fig puts agents in the channels crews already use, such as WhatsApp, Telegram, voice and the mobile app, connected to scheduling, work orders and inventory on CosmOS, with access tied to each worker's role.
Showcase: field workforce assistant →Meet the work where it happens →
No. Voice, the phone camera and messaging apps they already use are enough, with sign-in tied to their role.
Capture can happen offline, with voice notes and photos synced when the device reconnects.
Time to log work, first-time fix rate, parts accuracy, billing lag and safety reports, each against a baseline.
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