AI Management and Orchestration,
Purpose-Built for Healthcare

The only platform that lets you manage and optimize all of your AI tools and agents in one place

Trusted by health systems at the forefront of AI:

Signal 1’s AI Management System

Govern, manage and orchestrate all of your generative, agentic, and predictive AI on a single platform that seamlessly integrates into your existing infrastructure. 

AI Intake and Review

Standardize how AI enters the organization — with accountability from day one.

Create a single source of truth for every AI model and agent across the enterprise.

Continuously measure performance, safety, and compliance once models are live.

Govern and manage all your AI agents in one place

Turn AI activity into clear, measurable enterprise value.

Why Generic AI Governance Falls Short in Healthcare

As agentic AI adoption accelerates across health systems, the platforms managing those tools matter more than ever.

Here are four reasons why healthcare requires a dedicated approach:

The consequences 
of failure are categorically different

Governance and accountability are cross-functional

The clinical environment is highly dynamic

The regulatory environment is complex and evolving

CASE STUDY

The $80 Million Case for AI Governance

Turning AI into enterprise value requires more than deploying models—it requires managing them at scale. AIMS unlocks value by enabling portfolio growth, risk reduction, and operational efficiency, generating more than $80M in impact over five years.

The Rise of Agentic AI Changes Everything

Agentic AI is shifting healthcare from managing AI models to managing AI systems. As AI moves from generating recommendations to taking action, healthcare organizations must navigate three fundamental changes in how AI is governed, monitored, and managed.

From AI Models to AI Systems

Agentic AI is no longer a standalone model. It is a system of models, tools, data, workflows, and context that must be managed as a whole. 

From Statistical Failures to Operational Failures

The greatest risks are no longer incorrect predictions, but inappropriate actions, workflow failures, and unintended consequences that emerge in production. 

From Periodic Review to Continuous Oversight

Oversight is no longer centered on pre-deployment review. It requires continuous monitoring of behavior, performance, and adherence to organizational policies and standards. 

Security you can count on

Your data is protected by the highest standards of security and compliance