What We're Learning From Our Latest Integrations

July 31, 2025

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Since we started rolling out our platform to our healthcare customers, a few critical themes are beginning to stand out—especially when it comes to integrations.

First, it's not just about what the AI can do. It's about how easily it can adapt to real-world, high-friction environments. Every healthcare organization operates with a different combination of software, workflows, and constraints. And every new integration teaches us something essential about building AI that truly fits.

We're Already Expanding Our Scope of APIs Integrations

We're continuously expanding the list of APIs we can integrate with for our Agentic AI platform. We're leveraging solid third parties like Nango. In the healthcare ecosystem, from EHRs and ERP systems to billing platforms, tax tools, CRMs, and document management systems, we've designed our platform to be deeply interoperable, even when standards and APIs are lacking.

But the truth is: integrations in healthcare are never one-size-fits-all. Even when two systems share a name, their configuration, customization, and use can vary dramatically from one provider to the next.

That's why we've invested not just in coverage, but in flexibility.

Browser-Based Agents Are Accelerating Onboarding

One of the biggest breakthroughs we're seeing is the power of browser-based agents to streamline deployment. These agents don't rely on APIs or custom code—instead, they interact with existing software directly through the user interface, just like a human would.

This is game-changing for mid-sized providers, many of whom rely on dozens of tools—including legacy platforms, third-party portals, and industry-specific software that offer little or no API access. On average, we see organizations juggling 30 to 50 different applications and document systems just to run their daily operations.

In this environment, waiting for custom integrations is simply not an option. That's where browser-based agents shine:

They require no deep technical lift to get started
They can automate workflows across systems that don't expose APIs
They allow teams to test and validate use cases almost instantly

Think of them as hyper-flexible, low-friction workers who can learn to navigate whatever stack you're using—right now.

Integration Stacks Are Unique — and Often Unexpected

Every customer we work with has a different tech stack—and it goes far beyond the usual suspects like EHRs. We're seeing real needs for agents to plug into ERP platforms, billing and revenue cycle tools, payroll systems, tax software, and internal documentation platforms like SharePoint and Google Drive.

What's more, some of the most impactful workflows we're building happen between these systems, not just inside them.

We treat every new integration as a learning opportunity—mapping out the friction points, documenting nuances, and expanding our agent capabilities along the way.

The Orchestration Layer Is Where It All Comes Together

The biggest shift we're witnessing? Edge cases are becoming the norm. Healthcare operations are increasingly digital—but rarely standardized. Systems that used to be considered outside the scope of automation are now mission-critical: vendor portals, compliance tools, HR platforms, you name it.

This is where the true power of agent orchestration comes in.

Instead of building rigid pipelines for every integration, we've designed our platform around orchestrated agent workflows. That means:

Agents can communicate, delegate, and collaborate with one another
Each agent performs a specific role—from data retrieval to form filling to cross-platform syncing
They operate across tools, documents, and interfaces—adapting in real time to the user's environment

This orchestration layer is what turns individual tasks into intelligent, repeatable workflows. And because it's built to learn and adjust over time, our system doesn't just automate—it evolves.

Small Lessons, Big Shifts

Each integration teaches us something about how real work happens in healthcare. And as we connect more systems, serve more users, and build more workflows, we're not just collecting features—we're building the infrastructure for agentic AI to thrive in complex, real-world operations.

Want to see how agentic AI could adapt to your stack?

Let's talk.