Intelligence Before Implementation

See the whole
system.

Most health systems operate in the dark — 97% of operational data unused, fragmented across domains no one has fully mapped. Amandil changes that.

Clinical Context Graph — Live
Scroll to explore
22
Operational
Domains Mapped
1,926
Health System
Sub-Functions Indexed
194
Subdomains
in the Context Graph
25+
Years of Health System
Leadership Experience
The Problem

Your health system
is unmapped.

Every health system runs on thousands of interconnected functions — clinical, operational, financial, technological. No one has ever seen all of them at once. Until now, no one could.

194 Subdomains · Real-Time Operational Context
Industry Reality

The numbers
don't lie.

88%
of AI pilots never reach production.
CIO Magazine, 2025
80%
of healthcare AI initiatives fail to deliver expected outcomes.
RAND Corporation / Strativera, 2025
73%
of data leaders cite data quality as the #1 barrier to AI success — above model accuracy, cost, and talent.
Forrester / Capital One, 2024
16%
of health systems have a system-wide AI governance framework in place.
2025 Healthcare AI Adoption Report
The problem isn't the AI. It's that health systems don't know what to automate — because no one has ever mapped the whole system.
Clinical Context Graph
The Platform

The operating
map your system
never had.

The Clinical Context Graph is a living, structured model of your entire health system — every domain, every function, every automation opportunity — rendered in a single intelligence layer your leadership can actually use.

Built on deep operational knowledge of how health systems actually function. Ready to map your organization in days, not months.

Complete Domain Coverage
22 operational domains. 194 subdomains. 1,926 discrete health system functions — mapped, categorized, and cross-referenced into a single coherent model.
22 → 194 → 1,926
AI Agent Blueprints
Every identified automation opportunity generates a deployable agent blueprint — complete with estimated ROI, implementation complexity, and integration requirements.
Opportunity → Blueprint → ROI
Executive Intelligence Layer
Designed for CIO and CDO consumption. Board-ready visualizations of where AI can move the needle — ranked by impact, feasibility, and strategic alignment.
Strategy → Execution → Attribution
Value Before Build
The context graph identifies and sizes automation opportunities before implementation begins — giving leadership a defensible business case at the point of decision, not after.
ROI Identified → Then Built
Platform Agnostic
Built for deployment on AWS and Databricks. Integrates with Epic, existing data platforms, and your current AI infrastructure — no rip-and-replace.
AWS · Databricks · Epic Native
Weeks, Not Years
Traditional operational mapping takes 18-24 months. The Clinical Context Graph delivers a complete operational picture of your health system in weeks.
Weeks to Deployment
How It Works

From context to capital

I
Map the System
We deploy the Clinical Context Graph against your health system's operational structure — rapidly indexing all 22 domains against your specific environment.
II
Surface Opportunities
The graph identifies automation opportunities ranked by financial impact, implementation complexity, and strategic priority — specific to your organization.
III
Generate Blueprints
Each opportunity generates a deployable AI agent blueprint with estimated ROI, technical requirements, and a clear path to execution.
IV
Attribute Value
Every deployed agent ties back to the context graph — creating a living record of operational value created, attributable to leadership decisions.
Why It Works

Methodology over
magic.

The Clinical Context Graph is a structured, repeatable framework — pre-built across 22 domains and 1,926 functions. The same system maps every health system because every health system runs on the same underlying functions.

Structured by Design
A Framework, Not a Project
The graph is pre-built across 22 domains and 1,926 functions — not assembled from scratch for each client. Your engagement starts at context, not at construction.
Days not months
Pre-Implementation Clarity
Value Identified Before You Build
The methodology identifies and sizes automation opportunities before a single line of code is written — giving health system leadership a clear, defensible business case at the point of decision.
ROI before build
Operator Designed
Built for How Systems Actually Work
Designed by operators who ran these systems at scale. Every domain, subdomain, and function reflects how health systems actually operate — not how org charts say they do.
Real operational logic
Structural Completeness
Nothing Left Unmapped
22 domains. 194 subdomains. 1,926 discrete functions. The graph covers the full operational surface of a health system — from clinical operations to governance — so no opportunity stays invisible.
1,926 functions
Request a Briefing

Ready to map
your system?

Amandil is available for select health system engagements.

NDA available upon request · Engagements begin Q2 2026