Home Care Foundry
More margin. More growth. Less overhead.
BuildingActive development · Founding operators invited
Home care runs on some of the thinnest margins of any industry, and a large share of the money goes to coordination rather than care. AI changes what coordination costs for the first time — which changes the cost base the whole industry runs on.
How much of a home care provider's margin is consumed by coordination — and how much of it is recoverable?
Adult social care · Care coordination · Workforce
The industry problem
Demand is climbing and the workforce cannot keep up.
Demand for care is rising quickly while the workforce shrinks, and the overseas recruitment route has closed. At the same time margins are among the thinnest of any industry, so there is no headroom to absorb the pressure by hiring more coordinators.
Much of the cost sits in rota-building, re-solving schedules when someone calls in sick, routing, compliance paperwork, HR and answering families. Necessary work — but not care.
- 6%
- Average margin for a typical UK home care businessSource: Homecare Association
- 470,000+
- Additional adult social care jobs England needs by 2040Source: Skills for Care
- 40%
- Of providers rewrite carers' schedules every weekSource: Homecare Association
The economics
Coordination cost comes straight out of a thin margin.
In a 6% margin business, coordination overhead is not an efficiency question — it is most of the profit. It also caps growth: taking on more clients has historically meant hiring more coordinators, so scale arrives with its own cost.
Where can AI fundamentally change the economics?
Created
Care hours actually delivered, continuity of carer, capacity a provider can safely commit to.
Destroyed
Rota churn, travel time, last-minute re-planning, carer turnover, office time spent on the phone.
Trapped
Margin absorbed by back-office coordination, and growth that cannot be taken on without more overhead.
The Foundry thesis
ThesisCoordination should be a system, not a department.
If scheduling, matching, routing, compliance and family communication are handled by an AI-native operating system — with care managers retaining every judgment that affects a client — then coordination cost falls, schedules stabilise, carers stay longer, and a provider can grow without growing its back office.
The system
How an AI-native care operation would run.
Each capability is designed to remove coordination labour while showing its reasoning, so a care manager can accept, question or override it.
Rota that re-solves
A carer calls in sick and the schedule rebuilds itself.
Who is free, who is closest, who the client already knows — proposed before the office picks up the phone.
Matching with reasons
It tells you who should go, and why.
Proximity, prior relationship, language and assessed need, stated as reasoning rather than an opaque assignment.
Route planning
Less time driving, more time caring.
Travel is planned across the round rather than per visit.
Compliance and records
Always audit-ready.
Registration, carer records, onboarding and HR paperwork kept current as a by-product of operating.
Family communication
The office phone stays quiet.
Families get clear, informed answers drawn from the actual care record, with escalation to a human when it matters.
Absorbing the chaos
Last-minute change sorted before it reaches you.
Disruption is handled as normal operating behaviour rather than a daily emergency.
What we’ve built & what we’re building
Clear about what exists today.
Proven results, work underway, capability in development, researched thesis, and where we want partners — labelled, not blurred.
Proven
- Operating experience in regulated, multi-party healthcare delivery at scale
- Track record of turning complex clinical and commercial workflows into running systems
Current
- Structured economic model of UK home care coordination built with GEARS
- Working with operators and wider stakeholders on the operating model
Building
- Self-solving rota and explainable carer matching
- Family communication and compliance record-keeping
- Founding-operator platform with a first group of providers
Thesis
- Coordination cost is recoverable at a level that materially resets sector margins
- Schedule stability is a primary lever on carer retention, not a side effect
Invitation
- Licensed, staffed, running home care providers willing to help shape and prove the platform
- Local authority and NHS stakeholders interested in coordination economics
The people
Where humans stay responsible.
- Care managers keep every judgment that affects a client's care
- Carers keep the relationship, which is the product
- Owners decide what growth to take on and on what terms
- Regulated accountability stays with named humans, always
The AI
Where machines change the economics.
- Re-solving schedules continuously instead of weekly rewrites
- Matching carers on need, proximity, continuity and language with stated reasoning
- Answering routine family questions from the care record
- Keeping compliance evidence current as work happens
Human judgment first. Machine acceleration second.
The opportunity
What could emerge from this Foundry.
- 01
Providers who can grow client numbers without growing coordinators
- 02
A coordination standard that improves with every operator who joins
- 03
New care models that only work once coordination is close to free
Designed with GEARS™
GKIM’s method for digitizing business ideas and industries. Industry expertise goes in, GEARS structures the economic system, and the Foundry turns the resulting knowledge into businesses.
Participate
We're assembling a first group of founding operators.
Founding operators join early, help shape the platform and take a share in what they help build, on preferential early terms. Later participants adopt a proven platform on standard terms. You bring the licensed, staffed, running business; we take out the coordination cost, and are paid from the savings created.
We go deep with a small number of businesses and Foundry partners at a time. New relationships begin when we believe there is something consequential to build.
Who should get in touch
- Home care owners and operators
- Groups consolidating provider capacity
- Local authority and NHS partners
- Investors in adult social care