AI-assisted planning
The coordinator reviews the proposed changes before publishing.
AI-assisted scheduling for home care — compare unassigned visits, client-facing time, and travel time before a planner publishes

The coordinator reviews the proposed changes before publishing.
Planning starts from the same visits, staff, and constraints.
An assistant that works alongside the coordinator.
Sick calls, last-minute changes, and constant phone calls create stressful mornings
Complex matching of staff to clients considering skills, travel time, and preferences
Always putting out fires instead of working proactively with long-term planning
Caire proposes replacements when staff call in sick; the planner reviews competence and availability before applying the change
Compare recorded demand and unused hours in planner-reviewed staffing candidates
The assistant keeps repetitive planning work visible and reviewable.
Notifications follow the planner's approval and publication of a schedule change
Panic when staff call in sick · Frantically calling for substitutes · Manual schedule redistribution · Risk of errors and double bookings · Overtime costs and staff stress
Planner records the changed input · CAIRE prepares eligible cover options · Planner reviews route and continuity trade-offs · Staff are informed after approval and publication
Experience how Anna uses CAIRE through her daily workflow and explore operational trade-offs with our interactive diagrams
Illustration only: Anna's selection changes priorities; no planning run or evidence is loaded
Illustrative planner workflow: CAIRE prepares candidates and evidence; Anna reviews and approves before publication
Anna builds standing data in Caire, then reviews comparable schedule candidates and their diagnostics
A care assistant calls in sick — CAIRE flags the impact and shows what needs covering
The system recalculates and proposes how to redistribute visits; Anna reviews and publishes before anything goes live
Anna sees care time, efficiency and continuity against goals — and the next suggested improvement
Travel-time trade-off
Continuity measure
Overtime measure
Admin-time measure
This diagram shows which measures a real planning run can provide; no run evidence is loaded here
Changing the selector only illustrates different priorities. It does not run the optimizer or load evidence; record measures from real comparable runs before drawing conclusions.
Illustrates the current priority configuration
Illustrative placeholder · Populate from comparable real runs
Weights efficiency and cost for comparison
Illustrative placeholder · Populate from comparable real runs
Weights continuity and relationships for comparison
Illustrative placeholder · Populate from comparable real runs
Compares configured efficiency, continuity, and cost trade-offs
Illustrative placeholder · Populate from comparable real runs
Measure staff utilization and overtime for each run using the operation's own inputs.
Compare continuity measures and assignment changes before the planner publishes a candidate.
Compare cost and travel measures from equivalent source snapshots and planning periods.
When Anna selects a scenario, this illustration uses the same configured priorities. It does not run the optimizer or load measured values.
This view shows which staff-utilization, cost, and continuity measures coordinators can populate from equivalent real planning runs.
Compare workload distribution and schedule predictability per run, then follow up coordinator, staff, and client experience separately after publication.
Review continuity alongside travel and staffing before approving a proposal.
The planner remains in control of every operational change.
The assistant presents concrete changes instead of a black-box result.
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