AlfredAI

The platform

One intelligence layer.
Polyconditions. Every EMR.

AlfredAI is a multi-agent system purpose-built for the chronic conditions that drive 90% of US healthcare spend (CDC) — delivered inside the EMR your clinicians already use.

Polyconditions · one platform

The conditions that drive 90% of US healthcare spend.

Hypertension

BP tracking, medication titration support, lifestyle coaching.

Prevalence
119M US adults
Annual cost
$131B / yr

Source: CDC

Type 2 Diabetes

Glucose monitoring, insulin management, complication screening.

Prevalence
38M
Annual cost
$413B total US economic cost

Source: American Diabetes Association

Heart Failure

Volume status tracking, diuretic management, decompensation detection.

Prevalence
6.7M
Annual cost
$30.7B; projected $69.7B by 2030

Source: AHA

Atrial Fibrillation

Rhythm monitoring, anticoagulation adherence, stroke prevention.

Prevalence
~8M; projected 12.1M by 2030
Annual cost
$26B; projected $45.4B by 2030

Source: Colilla 2013 (AHA); JMCP 2022

Chronic Kidney Disease

eGFR tracking, medication adjustment, diet management.

Prevalence
35.5M (Stages 3–5)
Annual cost
$87.2B Medicare spending alone

Source: CMS

COPD

Respiratory monitoring, inhaler adherence, exacerbation prevention.

Prevalence
16M
Annual cost
$32B

Source: NIH

Coronary Artery Disease

Angina tracking, statin / antiplatelet adherence, risk modification.

Prevalence
20.5M
Annual cost
Component of $239B total CVD direct costs

Source: AHA

Obesity

Weight management, nutrition guidance, activity monitoring.

Prevalence
100M+ adults (BMI ≥30)
Annual cost
$173B medical costs

Source: CDC

Hyperlipidemia

Statin adherence, lipid panel tracking, dietary coaching.

Prevalence
~86M with elevated LDL
Annual cost
Embedded within CVD cost burden

Source: AHA

Prevalence and cost figures are drawn from CDC, CMS, AHA, NIH, American Diabetes Association, and peer-reviewed literature (Colilla 2013; JMCP 2022). Figures reflect the most recent publicly reported data; some include projections through 2030 as cited.

What the platform does.

Continuous patient understanding

The Historian agent synthesizes every note, lab, device reading, and visit into a living patient model — not a static problem list.

Between-visit care

The Coach agent runs adherence, education, and symptom check-ins on the cadence each condition actually requires.

CMS-aligned workflows

CCM, PCM, RPM, BHI, and AWV codified into time-tracked, audit-ready workflows that bill cleanly.

Population intelligence

The Architect agent stratifies the panel, surfaces gaps, and projects revenue at risk per condition cohort.

EMR-native delivery

Embedded inside Epic, Oracle Health, athenahealth, eClinicalWorks, NextGen, and Elation — no new login, no new chart.

Physician-governed AI

Every recommendation is traceable, citable, and signed by a clinician. Designed under clinical governance, not retrofitted.

Revenue model · Data room

CMS-aligned per-patient economics.

AlfredAI converts continuous chronic care into CMS-aligned, time-tracked billing across RPM, CCM, APCM, and BHI — auditable by design. Practices keep the patient relationship and the billing; HelloAlfred is paid a flat platform fee set in advance at fair market value.

Per-patient revenue ranges, unit economics, payer mix assumptions, and ROI model are available to qualified investors in the data room under NDA.

Request data room access