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The UK’s first unified, AI‑driven platform for statutory health and social care assessments

One shared digital workflow for DoLS, Care Act, and mental capacity assessments:

CLEARING BACKLOGS   |   CUTTING COSTS   |   PROTECTING RIGHTS

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HRMNY is proud to partner with the National Care Forum (NCF) to explore how technology can support truly joined-up care. NCF is a membership organisation and the leading voice for social care and support providers. NCF members collectively deliver more than £4.3 billion of social care support.

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HRMNY is the UK’s first unified, AI-driven platform for statutory health and social care assessments.

We help professionals complete complex assessments faster, more accurately, and with full legal compliance – without replacing clinical judgement.

The crisis we are solving:

372,000

DoLS applications each year.

49,000+

People died waiting for authorisation in 2022–23.

150 days (legal limit: 21 days)

Average completion time. 

£475M

Annual cost for DoLS alone. 

Widespread burnout, delays, and rights breaches.

Cut Through Chaos

Replace scattered emails and fragmented forms with one clear, traceable record.

Unified process

From referral to decision, every step, notifications, deadlines and documents happen in one place.

Ensures compliance

Turns disconnected workflows into an organised, compliant system you can rely on.

Built for real needs

Developed with BIAs and councils to help you focus on people, not paperwork.

What makes us unique

Our technology is a moat, not a bridge

HRMNY doesn’t need a complex, month long API integration. It exists on top of existing systems instantly.

First mover advantage:
AI-Powered Platform

The first self-trained AI specifically built for adult care and mental health assessments. Our competitive ‘moat’ is our AI’s deep training in specialised legal and clinician frameworks, a barrier to entry for generic AIs.

Agentic Extension- Interoperability

No costly traditional APIs needed; works with legacy systems. Our unique extension translates data fields from any legacy system, removing the need for lengthy integrations and significantly reducing demands on your IT team.

Empathic Technology

AI acts as a co-pilot while practitioners retain final judgment.

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Savings for Local Authorities

10.5

hours

Traditional manual effort per DoLS case.

99.7%

Reduction in elapsed waiting time in Stage One, from five months to under an hour. 

These figures are grounded in testbed audit logs, national DoLS data and a conservative model.

PROVEN

– Not Promised.

25.5

minutes

Average active time per case in the HRMNY testbed.

£637.6m

Estimated annual savings at national scale for
2.48 million assessments.

Testimonials & feedback from Pilot Participants and Clients

SB / Head of Safeguarding

Time Saving

I can see the time, effort and money this would save. Once the Form 1 or 2 has been submitted, it is only a click of a button to offer the case out to an assessor. 

BIA

AI QA

Having the built-in AI QA means that I can analyse my own work and receive suggestions from the AI. This means fewer amendments coming back to me. 

Local Authorities

Less Chasing
No more email threads asking “did you see my message?”

Local Authorities

Fewer Ammendments

Supervisors spend time moving cases, not word-smithing the same forms.

Local Authorities

Audit Ready

No more “where did this case go?” conversations, every step is traceable, time-stamped, and visible in live data you can analyse.