Driscoll’s field operations do not resemble a desk-based workforce. Supervisors manage large groups of workers who start shifts together, move between tasks through the day, and work across farms and production sites where reliable connectivity cannot be assumed. UKG gave the company a strong workforce foundation. What it could not do on its own was capture work the way the field actually produces it.
After evaluating available options, Driscoll’s deployed CloudApper AI to extend UKG with the field capability its supervisors needed. Rather than forcing field teams to work around the system, CloudApper created a process layer that captured crew activity where it happened, held it when connectivity dropped, and sent it back into UKG as accurate workforce data.
The impact was not faster punching. Driscoll’s gained a workforce operation that matches the way agricultural work is done at scale. Supervisors record time for entire crews in seconds and spend their attention on people and harvest instead of administration. Labor records stay accurate even in remote locations. And thousands of field workers have their hours captured correctly on the day they earn them.