Blog · Livmor

Insights from the field.

How we build Medicare software, what the plan data says, and what it means for agents, agencies and the plans they work with. Written by the people doing the work.

Platform and architecture · March 31, 2026 · 7 min read

From Complexity to Clarity: Architecting Trust in Medicare Advantage

Most AI platforms sit on top of Medicare complexity and try to interpret it dynamically. At Livmor.ai, we took a different approach: build a system that encodes the rules of the domain, then let AI operate within it.

Read the article By Wilf Russell, Chief Technology Officer

What is coming

The next posts come from the data.

The 2027 plan year, read closely: The two free reports are the source: which carriers exited the most counties, where the Part B givebacks disappeared, which states lost the most plans. Each becomes a post as the season unfolds. Start with the landscape figures.
How Plan Analysis decides: What a Critical finding is, how plan is checked against person rather than plan against plan, and why a recommendation is written beside every flag. See Plan Analysis.
Carrier Command, from the inside: How a state's position page is read every month, what the five-test verdict on a risk score means, and what the Stars manager does with next year's cut points. See Carrier Command.

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A few posts a season, each with a number in it. No digest, no drip.

Insights from the field.

From Complexity to Clarity: Architecting Trust in Medicare Advantage

The next posts come from the data.

When the next one is up, you will know.