Are You Still Running Your RCM in the Dark?

Most healthcare operators we talk to, especially small and mid-sized organizations, are still operating their RCM in the dark.

They have limited visibility, operate with fragmented systems with little to no meaningful analytics across all their workflows.

Our customers using our AI agents to augment and automate their operations need it to work. And they need to be able to trust it.

They need to See it. Measure it. Control it.

Why?

You want to be able to answer questions like:

• How much work is actually being automated and made more efficient?
• Where are teams still spending time manually while they could be augmented to accelerate impact?
• What is the real ROI of operations?

AI initiatives that fail lack a sense of value proposition combined with measurement and KPIs. If you add a flywheel of continuous learning that generates the novel data you need to improve, the remaining element is the team and the platform that is going to help achieve these goals.

The XY Platform is now offering real-time analytics, a new layer that turns automation into measurable and actionable intelligence for our customers. On top of being a web based platform with no IT implementation and seamless integration with your existing tech stack, our suite of agents are being measured, controlled and scaled and you can now visualize them in real time!

Why Analytics Matters Now

As healthcare operations grow more complex, execution of automation alone is no longer enough.

You need a way to understand what is happening across workflows, identify inefficiencies and make informed decisions in real time. Automation without analytics is a black box.

Our platform doesn't just process workflows. It generates entirely new operational and actionable data. Every action, whether performed by a human or an AI agent becomes trackable, measurable, analyzable. This creates something most operators have never had: a real-time view into how work actually gets done.

What Can You Measure?

With XY Analytics, you gain visibility into the core drivers of your operations: you can track your workflow's performances via items across their full lifecycle, understand how work moves through your system and identify where automation vs human intervention occurs. It enables you to compare AI output to human intervention, measure accuracy and performance over time. You can now identify where improvement is needed.

We use AI confidence scores to guide automation decisions in order to determine with our customers when to move from human-in-the-loop to full automation.

So far ROI for our customers has included:

• Quantification of time saved
• Estimate of cost reduction
• Measurement of revenue acceleration
• Understand operational efficiency gains in internal and external ecosystem

Our analytics also detects anomalies such as unexpected patterns or failure. It surfaces edge cases early and helps improve system reliability.

Best of Both Worlds

To ensure a maximum of flexibility, our approach is generic and bespoke. We've designed analytics to serve both immediate needs and long-term sophistication. Our out-of-the-box dashboards give our customers visibility into:

• Workflow tracking
• Agent performance
• Automation rates
• ROI

With no setup required.

Because every organization is different, we also support:

• Custom KPIs
• Workflow-specific insights
• Advanced anomaly detection
• Tailored operational views

If you can define it, we can visualize it.

Built for Scale

Our analytics layer is not just a reporting layer. It's a data infrastructure designed to grow with you. If your workflows scale, your insights scale with them with:

• Unified data across systems
• Real-time pipelines into a centralized data layer
• Version-controlled analytics
• Safe and continuous deployment

And for operators like you, it moves your operations from being reactive to data-driven operations, with continuous workflows optimization and control of your automation with confidence.

Evaluating AI today means understanding exactly where value comes from and reducing uncertainty before scaling. A successful AI powered initiative is moving from running workflows manually to understanding and optimizing how work gets done in your operations and making them measurable, explainable, and optimizable.