The Ethos.AI Platform

The health screening platform, with an interface for everyone in the chain.

Ethos.AI is the operating layer under every screening. Insurers, labs, doctors, technicians and patients each get their own interface onto the same case, so the chain connects instead of handing files between systems.

Today, live RUNNING
In hoursORDER TO APPOINTMENT
Same daySIGN OFF
1,938ACTIVE LABS COORDINATED
100%CASES WITH FULL AUDIT TRAIL
What is actually in it

Eight modules, not a case tracker.

Ethos.AI runs the whole operation, not just the case. This is the part competitors describe as a feature and we run as a business.

Order management

Every order from entry to closure, with critical orders escalated on their own track.

Network coordination

Diagnostic centre allocation, coordination and pending case management across the network.

Communication

Calling, call monitoring and broadcasting, with every conversation attached to the case.

Report compilation

Reports team workflow and CRA report compilation, so a finished report is assembled, not chased.

Escalation

A dedicated escalation path with its own dashboard, so a stuck case is visible before it is a complaint.

Billing and tickets

Billing management and a ticketing desk, reconciled against the same case record.

Integrations

Order intake and status flow straight into the systems on the other side, rather than by email.

CRM and sales

Accounts, account managers and the sales pipeline, in the same platform as delivery.

How turnaround is measured

Turnaround is a number here, not a promise.

Every case is measured in network days from order entry, Sundays excluded, and reported the same way to every partner.

T to T plus four. Conversion and closure are bucketed by network day, so the distribution is visible rather than an average that hides the tail.
Filtered every way that matters. By order entry date, by the date the medical was done, by the date the report was submitted, and by partner.
A dashboard per partner. Each one gets its own view built to its own workflow, reading from the same operational record.
The same number internally. The internal MIS and the partner view come from one database, so there is no reporting version and operating version.
Closed reports by network day● Excl. Sundays
50%35% 20%5% TT+1 T+2T+3T+4+ Shape of the distribution. Live figures sit in the partner dashboard.
Customer support infrastructure

A support desk, not an inbox.

Applicants, labs and partner teams all raise tickets against the same case record, and the desk is measured the way the operation is.

Nothing sits unassigned. Open, on hold, overdue, due today and unassigned due within the hour are each tracked as their own number, not buried in a queue.
Backlog is a metric. New against closed is trended daily, with an average backlog figure, so a slipping week is visible while it is still a week.
AI answers first. Voice and chat support on WhatsApp handle the routine questions, and a person picks up what the AI should not.
Attached to the case. A ticket is not a separate world. It sits against the order it belongs to, in the same audit trail.
Support on WhatsAppAI
मुझे अपॉइंटमेंट बुक करनी है
Detected: Hindi
ज़रूर। कल सुबह 9 से 11 का स्लॉट खाली है, घर पर।
Can the technician come earlier?
Switched: English
Yes. 8 to 9 AM is open. Shall I confirm?
18Open
7Overdue
0Unassigned
Answered byAI
Handover to a personOn request
Languages handledAny Indian language
OPEN 18 ON HOLD 0 OVERDUE 7 DUE TODAY 3 UNASSIGNED 0 TICKETS RAISED PER DAY · LAST 30 DAYS

The support desk overview: the live queue, and tickets raised per day across the last 30 days.

See the platform working

Recorded on real cases, not a mockup.

Support answered by the AI on WhatsApp, and a cardiac risk assessment run at the applicant's home.

Support

AI support on WhatsApp

The channel people already use, answered by the AI with a human behind it.

Cardiac

Cardiac risk assessment

The stress test, conducted at the applicant's home by a trained technician.

TURNAROUND BY PARTNER · NETWORK DAYS T T+1 T+2 T+3 T+4+ Partner 01 Partner 02 Partner 03 Partner 04 Partner 05 Partner 06 Partner 07 Partner 08

The master performance view, with partner names removed. Every case is bucketed by the network day it closed on, per partner, so the tail is visible rather than averaged away. Shape shown; live figures sit in each partner's own dashboard.

The technology under it

Built here, every layer of it. Nothing is rented.

The device, the interpretation engine, the workflow platform and the apps are all ours. That is why a case moves without a handoff, and why the data never leaves the ecosystem.

Ethos.AI workflow

Order to signed report on one platform, with insurer specific workflows and an audit trail behind every case.

Partner app

The console labs, clinics and technicians run cases on, from the appointment to the upload.

Consumer app

The patient side: booking, screening from home, and the signed report when it is ready.

WhatsApp and support layer

AI voice and chat support on the channel people already use, with a human behind it when the case needs one.

Report analytics

The engine that correlates pathology, imaging and cardiac results into one signed analysis rather than three documents.

AI consultation

AI led consultation with a physician in the loop, so advice that reaches a patient has been signed off.

One compliance boundary, end to end

Because every layer is ours, the patient data set stays inside the Cardiotrack ecosystem from the order to the signed report, with India data residency and role based access throughout.

What it does

Rate and time, not paperwork.

The platform's job is simple to say and hard to do: every case moves fast, nothing falls through, and the record holds.

Straight through processing

Approved reports flow to the insurer automatically, with a real time view of today's cases. No case waits on a person clicking forward.

Turnaround in hours

Order received to appointment confirmed in hours. Sample collected to report shared, tracked at every step, measured continuously.

The record that holds

Every status change carries an actor and a timestamp, and nothing is overwritten. Any case can be reconstructed for audit or a claims dispute, years later.

Built for insurer reality

Twelve workflows, one platform, zero burden on the lab.

Every insurer's forms, checks and rules are different. A generic ERP makes the diagnostic centre learn every process. Ethos absorbs the difference, so the lab runs one simple flow while the insurer gets exactly their format back.

Insurer specific forms

Each insurer's MER formats replicated digitally, filled once, delivered in their layout.

Smart dispatch

Cases route to the right lab or home visit team by pin code, capability and load.

Quality gates

Two stage QC on every report before it reaches the insurer, with discrepancies tracked to closure.

Access and residency

Role based PII access controls, identity verification, and all data resident in India.

Working with the AI

Ethos runs the process. The AI runs inside it.

The AI ECG read, the AI MER interview and the physician sign off all happen inside the same tracked workflow, so intelligence never comes at the cost of accountability.

Every AI read is logged

The AI's interpretation, its confidence and the physician's final call are all part of the case record.

Physician review in the loop

Insurance medicals and device reports route to a doctor for review and digital signature before they go back.

Nothing disappears

Statuses accumulate, they are never overwritten, so the history of every case stays intact.

See it live

Watch a case travel the platform.

A thirty minute walkthrough on a sample case, from order intake to the signed report landing back.