What is Caire

    Caire is the AI co-pilot for home care

    Evaluate planner-controlled scheduling candidates and operational trade-offs with your own data.

    Anna: A day in the life of a planning coordinator

    Anna works as a planning coordinator at a home care organization. Every week she spends countless hours manually piecing together schedules for dozens of care assistants and clients. She juggles continuity requests (clients who want the same staff), limited resources, long distances and sudden changes like sick leave. The result is often stress, overtime and suboptimal routes.

    With CAIRE, Anna starts from standing data in the product — clients, care plans and visits — and gets schedule proposals she can compare. When something changes, CAIRE flags the gap and prepares a reviewable proposal; Anna approves before anything is published.

    Challenges in today's home care

    Scheduling home care is complex. Without tools, planning easily becomes a high-stakes puzzle where human planners do their best but are limited by time and overview. The consequence can be stressed employees, increased costs and less satisfied clients.

    Lack of digitalization and manual workflows

    Leads to high costs and low productivity

    See our administration solutions - Coming soon

    Focus on the wrong things

    Organizations spend time on technical solutions instead of focusing on the quality of care

    The solution: AI-optimized planning with Caire

    The CAIRE platform prepares reviewable scheduling candidates and per-run diagnostics from configured inputs. Human coordinators compare trade-offs and decide what to publish; time, cost, and quality outcomes remain provider-owned follow-up.

    From data to finished schedule

    Enter clients, care plans and visits as standing data in Caire. Caire calculates the staffing needed, places visits into shifts and routes, and gives you comparable proposals — you choose which one is published.

    Compare efficiency and time measures

    Caire prepares candidates from configured restrictions and goals, then reports travel, conflicts, gaps, coverage, and other measures for planner review.

    Proactive improvement loop

    After a schedule is built, Caire reports configured care-time, efficiency, and continuity measures and prepares reviewable change proposals. The provider validates the measures and approves any publication.

    How the Caire platform works

    📊

    1. Input

    Add clients, care plans and visits as standing data in the product

    🤖

    2. Demand

    Caire analyzes the plans and identifies the staffing and shifts required

    📱

    3. Schedule

    Required shifts are added and visits are placed into a finished schedule with routes

    📈

    4. Improve

    Caire tracks care time, efficiency and continuity and suggests changes you approve

    Results and business value with Caire

    Caire helps planners compare schedule candidates using the operation's own data. Coverage, travel, continuity, workload, and business measures are reviewed per run; no fixed outcome is implied.

    Travel-time and cost review

    Travel-time trade-offs per planning run

    Route alternatives make travel time visible alongside continuity, coverage, and other planning goals. Outcomes depend on the operation's data and the current run configuration.

    Cost measures per planning run

    Compare overtime, temporary staffing, travel, and other configured cost measures from equivalent snapshots. The operation validates any financial impact after publication.

    Staff-utilization measure

    Review client time, travel, waiting, and available time for each candidate. The measured value depends on the source snapshot, staffing, constraints, and configured priorities.

    Continuity, quality, and staff measures

    Continuity and quality in care

    Compare the number of caregivers per client and other continuity measures for each candidate. The planner decides how to balance continuity with coverage, skills, and time windows.

    Staff-experience follow-up

    Review workload, overtime, travel, and schedule stability before publication. Staff experience and retention remain outcomes for the provider to follow up over time.

    Transparency through key metrics

    Dashboards and receipts expose run-specific measures such as travel time, unfilled visits, continuity, workload, and configured costs. Equivalent source snapshots are required before drawing a comparison.

    Interactive CAIRE Experience

    Explore an illustrative workflow, the measures a real planning run would report, and our technical architecture

    Interactive product demonstration

    Scenario selections illustrate priorities; no planning-run evidence is loaded on this page

    1. Anna's Daily Workflow & Scenario Selection

    A Day with Anna and CAIRE

    Planner workflow: Caire prepares candidates and evidence; Anna reviews and approves before publication

    08:00

    Foundation → finished schedule

    Anna builds standing data in Caire, then reviews comparable schedule candidates and their diagnostics

    Anna selects optimization scenario:

    Anna selects: Scenario C (Balanced optimization)
    • Standing data in Caire within the approved customer boundary
    • CAIRE builds comparable schedule proposals
    • Anna compares KPIs and approves one
    10:30

    Something changes during the day

    A care assistant calls in sick — CAIRE flags the impact and shows what needs covering

    • Status: which visits are at risk
    • What to improve: coverage and continuity
    • Suggests replacement alternatives
    10:45

    CAIRE proposes — Anna approves

    The system recalculates and proposes how to redistribute visits; Anna reviews and publishes before anything goes live

    • Proposes cover with nearby colleagues
    • Keeps routes and continuity in view
    • Notifies staff only after approval
    17:00

    Track and improve

    Anna sees care time, efficiency and continuity against goals — and the next suggested improvement

    • A real run would report its travel-time measure
    • A real run would report its continuity measure
    • A real run would report overtime and admin-time measures

    Measures the product reports after a run

    Values appear on your completed runs in the product

    Travel-time trade-off

    Shown after your run

    Continuity measure

    Shown after your run

    Overtime measure

    Shown after your run

    Admin-time measure

    Shown after your run

    Priorities: Scenario C (Balanced optimization)

    2. Per-run Business Measures

    Management measures you can track in Caire

    Each completed planning run reports staff utilization, overtime, travel, continuity, and cost against the priorities you configured. Compare candidates before the planner publishes.

    Select priorities to compare:

    Staff utilization

    Share of paid shift time with the client versus travel, wait, and unused time.

    Reported per completed run

    Overtime

    Overtime hours for the selected period, compared across priority settings.

    Reported per completed run

    Cost per care hour

    Cost view built from the same ledger as visit, travel, and shift supply.

    Reported per completed run

    Continuity

    How many different caregivers meet each client across the planning window.

    Reported per completed run

    Travel-time comparison

    Travel minutes and route load compared between candidate schedules.

    Reported per completed run

    Admin-time comparison

    Planner follow-up time spent reviewing diagnostics before publish.

    Reported per completed run

    Scenario comparison: configured priorities

    Changing the selector only changes which priorities this page highlights. Live values always come from your own completed planning runs in the product.

    Reference priorities

    Highlights the current priority configuration

    Scenario A (efficiency focus)

    Weights efficiency and cost for comparison

    Scenario B (continuity focus)

    Weights continuity and relationships for comparison

    Scenario C (trade-off comparison)Selected comparison

    Compares configured efficiency, continuity, and cost trade-offs

    Efficiency evaluation

    Measure staff utilization and overtime for each run using the operation's own inputs.

    Planner-reviewed evidence

    Continuity evaluation

    Compare continuity measures and assignment changes before the planner publishes a candidate.

    Planner-reviewed evidence

    Cost evaluation

    Compare cost and travel measures from equivalent source snapshots and planning periods.

    Planner-reviewed evidence

    3. Technical Architecture & Infrastructure

    CAIRE Technical Architecture

    An overview of system modules, data flow, and operational boundaries

    Core Architecture & Modules

    AI Engine

    Planning engine that evaluates candidates against constraints and objectives

    Scheduling

    Schedule candidates prepared for planner review

    Route Optimization

    Route alternatives with visible travel-time trade-offs

    Change Management

    Start a new planning run when inputs change

    Analytics & Reports

    KPI calculation and data-driven feedback

    The AI engine coordinates all modules

    Data Flow Process

    Data Collection

    Standing data in Caire; optional custom external fetch

    1

    AI Processing

    Optimization via AI algorithms

    2

    Result Management

    Planner review and publication in Caire

    3

    Feedback

    Analysis and continuous improvement

    4

    Data and service boundaries

    Standing data in Caire

    Clients, employees, service areas, and visit templates are maintained in the product

    Map data

    Configured map services provide route and travel-time data

    Security and GDPR-related controls

    • Documented controls for GDPR-related data handling
    • Encryption controls for data in transit and at rest
    • Role-based access control
    • Audit logs and traceability

    Cloud Infrastructure

    • Modular service architecture
    • Service monitoring and operational logs
    • Backup routines
    • Operational monitoring

    Technical Specifications

    Performance

    • Performance measured in the current environment
    • Planning scope configured for each run
    • Capacity evaluated for the current operation

    Planning contract

    • Standing data maintained in Caire
    • Planner approval before publication
    • External coupling is custom at onboarding

    Monitoring

    • Current-run metrics
    • Constraint warnings for planner review
    • Advanced analytics

    Complete Solution Overview

    User Experience

    Anna's workflow shows how CAIRE integrates seamlessly into daily operations, making planning intuitive and efficient.

    Business Measures

    Caire reports efficiency, cost, and continuity measures for each completed planning run so leaders can compare candidates before publish.

    Technical Foundation

    The architecture separates service, data, and solver-adapter boundaries so each deployment can be reviewed against its own requirements.

    CAIRE Flywheel

    An illustrative framework for planning and follow-up

    CAIRE Flywheel is an illustrative framework for discussing which operational measures each stakeholder may want to follow.

    The framework links candidate review, planner decisions, and provider follow-up. It is not a prediction or a measured customer outcome.

    Illustrative scenario examples — the percentages are modelled and not measured customer outcomes.

    BUSINESS

    Operational Measures

    Planners can compare cost, client-time, coverage, and workload measures before publication; the provider owns the resulting business evaluation.

    Efficiency measureData-driven
    Margin assumptionScenario-based
    Administrative-time measurePlanner-reviewed

    CAREGIVERS

    Caregiver Measures

    Candidate runs expose workload, travel, overtime, and schedule-stability measures for planner and staff review.

    Experience follow-upFollow-up
    Administrative timePer run
    Turnover follow-upProvider-owned

    PATIENTS

    Care Measures

    Candidates compare continuity, skill matching, visit timing, and coverage within the configured home-care planning scope.

    Continuity measurePer run
    Client follow-upFollow-up
    Quality follow-upProvider-owned

    SOCIETY

    Societal Follow-up

    Run evidence can support provider reporting on client time, travel, coverage, and staffing without promising a fixed societal outcome.

    Resource-use measurePer run
    Environmental follow-upFollow-up
    Cost measureProvider-owned

    How the illustrative measures connect

    Business → Caregivers

    Compare business measures with workload and staffing measures

    Caregivers → Patients

    Compare workload and continuity measures

    Patients → Society

    Use provider-owned follow-up for wider care outcomes

    Society → Business

    Document assumptions before drawing a business conclusion

    How the Caire platform works

    We build the technical infrastructure that enables home care organizations to focus on what really matters – the care

    AI-driven optimization

    Configured candidates prepared for planner review

    Smart route optimization

    Compares travel time and client time per planning run

    Mobile app for staff

    Always updated information in pocket format

    How the Caire platform works

    📊

    1. Input

    Add clients, care plans and visits as standing data in the product

    🤖

    2. Demand

    Caire analyzes the plans and identifies the staffing and shifts required

    📱

    3. Schedule

    Required shifts are added and visits are placed into a finished schedule with routes

    📈

    4. Improve

    Caire tracks care time, efficiency and continuity and suggests changes you approve

    Easy onboarding — build standing data in the product

    Getting started with CAIRE is simple. The platform is cloud-based, so there is nothing to install. You enter clients, care tasks and caregivers as standing data in the product. External coupling — for example one-way fetch from Carefox where an API is configured — is arranged per customer at onboarding. CAIRE then builds a first schedule you can compare with how you plan today.

    Standing data in the product

    The standard path is to enter clients, care plans, visits and staff directly in Caire. Where a Carefox API is configured, Caire can fetch planning data one-way (GET). Other external coupling is arranged with you during onboarding.

    Quick setup & Data security

    During onboarding you set the parameters that matter — units, working-time rules, skills and continuity preferences. Caire guides you step by step until your first schedule is ready to compare. Each organization's data is kept separate. You own your information; Caire only processes it on your behalf. Logins and permissions are handled securely so only authorized planners reach the tool.

    You approve every change

    Caire runs alongside the systems you already use. Nothing in production changes until a planner reviews a proposal and publishes it. You can try, compare and introduce improvements gradually — without interrupting day-to-day operations.

    From care plan to finished schedule — then improve it

    Once clients, care plans and visits are in CAIRE, a planning run prepares schedule candidates and reports coverage, travel, client time, efficiency, and continuity. Nothing is overwritten; a planner reviews and approves before publication.

    1

    Add the foundation

    Enter clients, care plans and planned visits as standing data in Caire. Review the foundation so you can correct mistakes before the schedule is built.

    2

    Caire calculates demand

    Caire analyzes the care plans and visits and identifies which shifts and capacity you need — without asking you to tune technical solver settings for a normal first run.

    3

    Finished schedule proposals

    Required shifts are added and visits are routed. You get comparable proposals (for example baseline, coverage and efficiency) side by side — nothing is overwritten until you choose.

    4

    Review and approve

    Inspect the calendar, metrics and diagnostics. Adjust if needed; Caire warns on conflicts. When you are satisfied, you publish — Caire assists, the decision stays with the planner.

    Proactive schedule management — status, what to improve, next step

    Home care changes during the day. CAIRE does not treat a published schedule as finished forever. It surfaces status (where the plan is strained), what to improve (care time, efficiency, continuity, sick leave, gaps), and a clear next action — always as a proposal you review and approve, never as a silent rewrite of the live plan.

    When something changes

    If a caregiver calls in sick or a new urgent visit appears, you ask Caire (or open diagnostics) for a realistic cover plan. Caire recalculates with the new premises and proposes how to cover the gap. You review and approve the change — no panic spreadsheet, and no automatic overwrite of the live schedule.

    Sick leave, substitutes & alerts

    Caire suggests caregivers in the same area with current workload in view, within the rules you set (max hours, skills, continuity). It can flag days that look understaffed before they break, so you act early — call in cover or re-run an improvement — instead of fighting fires after the fact.

    Unused capacity made visible

    Caire highlights unused hours and peaks hour by hour — where demand exceeds staffing, and where time is left over — and suggests how to even the day. Every suggestion stays a draft until a planner approves it.

    Scenario comparisons and analysis

    Scenario comparisons provide decision support by reporting measures from candidates built on the same frozen source snapshot. The provider owns any cost or quality conclusion.

    Run multiple scenarios in parallel

    You can create different optimized schedules based on the same original schedule – for example, Scenario A with certain settings or priorities, and Scenario B with others. Maybe you want to compare a schedule with vs. without allowed overtime hours, or simulate the outcome if you had an extra staff member available. Caire lets you set up these alternatives without risk, as separate optimization runs.

    Compare key metrics side by side

    Caire presents travel time, overtime, coverage, continuity, workload, and other configured measures side by side. Compare candidates from equivalent inputs, inspect diagnostics, and choose which trade-offs meet the operation's goals.

    Visualization and per-run comparison

    Caire dashboards can present configured measures such as cost, travel time, utilization, and continuity for a planning run. Compare equivalent snapshots and retain approved evidence through the supported product workflow; exported PDF/Excel result reports and automatic learning-based parameter suggestions are not promised here.

    Key features in Caire in brief

    ⚡

    Reviewable replanning: When conditions change, prepare a new candidate and require planner approval before publication.

    🤖

    Schedule candidate generation: The optimization engine prepares work-schedule proposals from standing data and configured rules for planner review before publication.

    📊

    Scenario comparisons: Ability to create multiple alternative schedules and compare them side by side regarding KPIs. Facilitates 'what happens if' analyses and strategic decisions.

    🗺️

    Route comparison: Each run reports travel-time and distance trade-offs alongside coverage, continuity, and workload.

    👥

    Continuity: Each run reports continuity trade-offs, including how many different caregivers are assigned to a client; the provider evaluates quality and client experience separately.

    💰

    Financial measures: Where configured inputs support them, compare staffing, travel, fuel, and margin assumptions between equivalent schedule candidates; validate conclusions against provider-owned financial data.

    🔍

    Proactive schedule management: CAIRE shows status, what to improve, and a clear next step — care time, efficiency, continuity, sick leave and unused capacity — as proposals you approve. Nothing changes silently.

    Results and business value with Caire

    Caire produces reviewable candidates and run evidence from the operation's own inputs. Planners approve publication; operational and business outcomes are followed up by the provider.

    Travel time per planning run

    Route alternatives make travel time visible alongside continuity, coverage, and other planning goals for the operation's own data and constraints.

    Staff utilization per planning run

    Measure client time, travel, waiting, and available time for each candidate; the result depends on the current inputs and constraints.

    💰

    Cost measures per planning run

    Compare configured cost, overtime, temporary staffing, and travel measures from equivalent source snapshots. The provider validates any financial impact.

    😊

    Staff, continuity, and quality measures

    Compare continuity, workload, overtime, travel, and schedule stability before publication. Client and staff satisfaction remain provider-owned follow-up outcomes.

    Ready to evaluate Caire with your data?

    Let us show how Caire compares planning candidates and run-specific measures for your organization.

    Build an operation-specific business case

    Use the provider's own staffing, cost, and planning assumptions together with equivalent run evidence. Caire does not publish a fixed return or payback outcome.