MVP · Early Accessby ITLOX

The operating system for
modern care delivery.

careos unifies workflow execution, clinical coordination, patient communications, compliance evidence, and AI-assisted productivity — for ambulatory, community, home, pharmacy-linked, and hybrid care operators. A system of action above fragmented EHRs and spreadsheets.

Referral01Care Plan02Visit03Medication04AI Worker05Evidence06PatientCare Graph · liveEvidence Ledger ◇ on
7
Product pillars
10
Governed AI workers
14
Functional areas
Europe · USA
Market-ready

What is careos

A healthcare intelligence cloud. Not another EHR wrapper.

careos sits between clinical record systems and the frontline teams who execute care. In organisations with multiple source systems, it becomes the coordination layer. In lighter-weight settings, it serves as the primary system of record for care operations while integrating with prescribing, diagnostics, finance, and external records.

It is built for operators with multi-site coordination burden, measurable admin pain, and visible revenue or compliance leakage. Not a workflow tool. An operating system.

Care execution layer

Turns referrals, plans, alerts, and visits into managed work. Reduces missed handoffs, overdue work, and operational chaos.

Patient engagement layer

Runs patient, proxy, and caregiver messaging across app, SMS, email, voice, and letter. Improves adherence and attendance.

AI workforce layer

Automates intake, triage, drafting, outreach, coding suggestions, and operational routing while preserving human control.

Compliance & evidence layer

Generates audit trails, DSAR packages, access reviews, and investigation packs. Removes expensive manual compliance work.

Commercial intelligence layer

Supports prior auth, no-show recovery, utilisation insight, coding support, billing handoff, and revenue leakage detection.

Developer & marketplace layer

Exposes APIs, SDKs, event streams, configuration packs, and partner apps. Expands distribution and product stickiness.

AgentOS — governed AI workforce

Ten named AI workers.
All measured. All bounded.

Every AI worker records model, prompt version, sources, reviewer, and outcome. Clinically influential outputs require human approval. Medication plans are untouchable. Evidence is the default, not the exception.

01

Referral Intake Agent

Reads inbound referrals, extracts facts, flags missing items, suggests triage, creates tasks.

02

Patient Concierge Agent

Handles booking guidance, reminders, and low-risk administrative interactions.

03

Documentation Agent

Drafts notes, visit summaries, transfer summaries, and discharge packs.

04

Care Coordination Agent

Watches open pathways, overdue tasks, and breach risks. Proposes actions.

05

Medication Adherence Agent

Monitors refill gaps, missed doses, reported issues, and outreach effectiveness.

06

Prior-Auth Agent

Assembles documents, maps checklists, drafts rationale, tracks submission status.

07

Quality Auditor Agent

Reviews documentation completeness, missing evidence, policy deviations, audit gaps.

08

Coding & Revenue Agent

Suggests codes, completeness improvements, package mapping, leakage flags.

09

Inbox Triage Agent

Clusters, prioritises, and routes tasks, messages, and alerts.

10

Executive Analyst Agent

Generates weekly performance narratives, anomaly explanations, board commentary.

Hard boundary

No AI autonomously prescribes, discontinues, or silently writes to the legal clinical record. Clinically influential outputs require human review. This is a hard product safety boundary, not a toggle.

Who uses careos

Built for operators with coordination burden and compliance pressure.

UK · Community & home care

Community and home-care operators

High coordination burden. Medication follow-up complexity. Multi-site visibility need. Compliance pressure from CQC, DTAC, DSPT.

UK · Private care

Private clinic groups

Growth pressure. Patient communication at scale. No-show reduction. Pathway standardisation. Private billing handoff and quote management.

US · Ambulatory

Ambulatory specialty groups

Scheduling friction. Prior authorisation burden. Documentation overhead. Patient follow-up leakage. Value-based care reporting needs.

US · Value-based care

Care management organisations

Longitudinal coordination. Risk stratification. Outreach burden. ROI sensitivity. Strong fit for Care Graph and AI outreach automation.

Pharmacy-linked

Pharmacy-linked services

Adherence monitoring. Refill coordination. Patient communications. Task routing. Evidence and audit for dispensing workflows.

Regulated innovators

Digital-first healthtech

Operators building new models that need clinical safety governance, audit infrastructure, and multi-channel patient engagement out of the box.

Measurable journeys

Eight journeys. Each with a hard outcome metric.

careos is judged by hard metrics. Every journey traces to source events. Every source event is on the ledger. Every metric is exportable.

01

Referral to first contact

Intake, eligibility, triage, scheduling, reminders, handoff, escalation.

Reduced time-to-first-contact
02

Care-plan execution

Versioned plans, task emission, reminders, observations, reviews, closure summaries.

Higher pathway adherence
03

Medication coordination

Reconciliation, refill reminders, omission capture, pharmacy follow-up, adherence interventions.

Fewer medication-related misses
04

Observation escalation

Threshold checks, alert routing, acknowledgement, action tasks, closure evidence.

Faster time-to-action
05

Visit execution

Scheduling, mobile offline checklist, capture, sync, follow-up tasks, documents.

Lower admin time per visit
06

Patient engagement loop

Templates, channel routing, reminder sequences, reply triage, proxy handling.

Higher digital response rates
07

Prior auth & revenue prep

Evidence assembly, checklist completion, tasking, payer communication, outcome tracking.

Faster submission turnaround
08

Compliance response

DSAR, access review, incident pack, legal hold, export approval.

Hours, not days

Deployment-ready

One core. Two country packs. Zero forks.

🇬🇧

United Kingdom

Built for NHS-adjacent reality

NHS login and NHS Notify adapters. DTAC and DSPT workflow support. Clinical safety workflow support (requires customer-side Clinical Safety Officer engagement). dm+d medication terminology. GDPR and DPA 2018 operating workflows.

NHS loginNHS NotifyDTACDSPTdm+dGDPR
🇺🇸

United States

Ambulatory & value-based care

Designed to HIPAA Security Rule principles. US Core and SMART on FHIR adapter patterns. Prior-authorization workflow design. NPI provider identifier support. RxNorm and NDC medication terminology.

US CoreSMART on FHIRRxNormNDCNPI

Engineering principles

Evidence over assertion. Always.

01

Tamper-evident by default

Every write, decision, and AI output is committed to the Evidence Ledger. Independently reviewable, cryptographically anchored, exportable as compliance evidence on demand.

02

Human-in-the-loop where it matters

Clinically influential outputs require review. Medication plans are immutable without confirmation. Break-glass access creates visible review items. No silent mutations.

03

Configurable without forking

Tenants configure agent autonomy, review thresholds, model providers, retention, and market-specific policies through Studio. Enterprise control without engineering intervention.

Design partner programme open

Run care like an operating system.

We are onboarding design partners across Europe and the USA. Clinicians, operators, and founders welcome. Bring the hardest workflow you have — we want to see it run on careos.