AI-assisted scheduling

Plan the week in minutes, not hours. The optimizer suggests the best assignments based on travel time, skills and who's free, and you fine-tune with drag-and-drop. Recurring jobs and one-off visits, handled together.

How does AI-assisted scheduling actually work?

The optimizer looks at your visits, your team's skills and availability, and the travel between sites, then proposes who should go where. You keep the last word: any suggestion can be dragged, swapped or overruled. It is a first draft of the week that takes seconds instead of an evening.

What you get

• AI-suggested assignments
• Drag-and-drop when you want the last word
• Recurring and one-off visits

Where this shows up in your week

Planning gets hard around fifteen people and sixty visits, when a single sick day sets off a chain of swaps. Rebuilding that by hand costs you a morning; letting the optimizer re-fit the day and reviewing what it suggests costs you a coffee.

A worked example

A Tuesday cleaner calls in sick with four sites booked. The optimizer spreads them across three colleagues already working nearby, adding eleven minutes of driving in total. You accept two moves, drag the third to someone the client knows, and the day is saved.