HealthcareEarly access

Healthcare operations that coordinate, govern and prove.

Coordinate referrals, care plans, visits, medication workflows and patient engagement with governed AI workers, human-review gates and audit-ready evidence across fragmented care settings.

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Community careHome careClinicsAmbulatory groupsPharmaciesCare managementDigital healthCompliance / IGPlatform / IT
The problem

The concrete issues these teams face

01

Work is fragmented

Referrals, visits, medication follow-up and documentation live across disconnected tools and manual handoffs.

02

Hard to prove

When something is missed, there's often no reviewable record of who was responsible and what happened.

03

AI without guardrails is unsafe

Uncontrolled automation in care settings is a non-starter — clinical actions need human review and provenance.

The ITLOX answer

How ITLOX solves healthcare

  • Care-workflow execution: referrals, care plans, visits, escalation and task ownership.
  • Governed AI workers that draft and route work, with mandatory human-review gates.
  • Patient engagement across channels with reply triage and proxy handling.
  • An evidence trail on every action — designed for audit and oversight.

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MahCare AI

An AI-native care-coordination platform with governed AI workers, human-review gates and an audit-ready evidence trail. Selecting UK/US pilot partners.

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Use cases

What teams build with it

01

Care operations

Referral-to-first-contact, care-plan execution, visit execution and handoff control.

02

Patient engagement

Reminders, channel routing, reply triage and proxy handling across supported channels.

03

Medication coordination

Reconciliation, refill reminders, omission capture and pharmacy follow-up.

04

Compliance & evidence

Audit trails, access review, AI-output review and exportable evidence.

How it works

A controlled, evidence-led flow

01

Map the workflow

Model the care workflow with the most leakage and define where humans must review.

02

Govern the AI

AI workers draft and route work; consequential actions pause at human-review gates.

03

Capture evidence

Every action stores provenance, sources, the decision path, the reviewer and the outcome.

Deployment & evaluation

  • Cloud SaaS
  • UK & US operating profiles
  • FHIR-aligned integration
  • Selecting pilot / design partners

Evidence & proof

  • Audit-ready evidence trail
  • Human-review gates
  • Mandatory provenance on AI actions
  • No autonomous prescribing, diagnosis or silent record writes

Next step

Bring the care workflow with the most leakage. We'll map the workflow, the evidence points and the governance path.