Ideas, Insights, and Infrastructure for AI-Powered Workflows
No hype. No buzzwords. Just sharp thinking about building AI systems that correct, coordinate, and accelerate workflows—without full automation.
From deep dives into autonomous agent design to platform updates and the occasional strong take on the future of AI infrastructure, we write to clarify, not complicate.
Get the latest on new features, agent capabilities, and behind-the-scenes decisions shaping the Ailevate Platform and solutions.
We share what we’re learning—from AI agent orchestration models to the limits of LLMs in real-world denial correction and workflow automation.
Architecture patterns, system design challenges, performance trade-offs—we share the hard-won lessons from building infrastructure.
Philosophy, frameworks, and experiments in creating systems that reduce human toil—quietly and effectively.
The Centers for Medicare & Medicaid Services (CMS) has recently released its proposed payment rules for Fiscal Year (FY) 2026, which have significant implications for
The healthcare industry is currently engaged in an AI arms race. Insurers are using advanced algorithms to expedite prior authorizations and claims processing, while providers
Key Takeaways from the Frontlines of Healthcare Innovation Last week, the Ailevate team had the privilege of attending the Becker’s Health IT + Digital Health
Understanding the Role of AI Agents in Healthcare Denial Recovery In the ever-evolving landscape of healthcare, denial management has traditionally been a labor-intensive task. Teams
NextGen and Denied Claims: How Coding Errors Cause Revenue Loss and What to Do About It The Hidden Cost of Claim Denials in Small Healthcare
Generative AI vs. Agentic AI: Unpacking the Differences and Their Impact on Healthcare Revenue Recovery As artificial intelligence continues to evolve, two distinct branches are
Get new posts, platform updates, early-access resources, and recent news delivered monthly.
No spam. Just signal.
