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:
Responsible use of AI holds tremendous promise to support delivery of world-class care to our communities, and we are excited to leverage Signal 1’s platform to help us implement rigorous governance and transparency to deploy this technology at scale.
Matt Kull
Chief Information and Digital Strategy Officer, Inova
In Signal 1, we have a partner who shares our vision for how AI can transform and sustain health care delivery and who shares our commitment to implement AI ethically, responsibly with appropriate safeguards and education.
Govern, manage and orchestrate all of your generative, agentic, and predictive AI on a single platform that seamlessly integrates into your existing infrastructure.
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.
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
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.
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.
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.
The greatest risks are no longer incorrect predictions, but inappropriate actions, workflow failures, and unintended consequences that emerge in production.
Oversight is no longer centered on pre-deployment review. It requires continuous monitoring of behavior, performance, and adherence to organizational policies and standards.
Your data is protected by the highest standards of security and compliance