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:
Govern, manage and orchestrate all of your generative, agentic, and predictive AI on a single platform that seamlessly integrates into your existing infrastructure.
Streamline how AI enters the organization.
Agent-powered workflows replace the forms, emails, spreadsheets, and shared folders — so intake is consistent, auditable, and fast.
Create a single source of truth for all your AI products and decisions.
Every AI solution — whether built or bought — tracked and updated in one place.
Gain visibility into the performance, safety and compliance of every AI tool, including generative and agentic AI.
Post-deployment observability by risk tier, with automated alerts that surface issues before they impact people or operations.
Manage and improve agents from development through production.
Discover, evaluate and monitor agents in one place, with visibility into risk, cost, value and performance.
Manage your AI investments for impact and value.
Customizable dashboards give leaders insight into how they’re investing in AI, what’s delivering and where the portfolio needs attention.
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
