Right Skale

Right Skale Right Skale is an AI-first company building responsible solutions for regulated industries.

Creators of DualEnroll.ai (simplifying senior benefits access) and DocIntel (auditable, source-citable enterprise AI).

Most cloud bills don't spike. They creep.A test environment nobody switched off. A service that scaled up for a launch a...
10/13/2026

Most cloud bills don't spike. They creep.

A test environment nobody switched off. A service that scaled up for a launch and stayed that way. Small stuff that adds up by the end of the quarter.

This week's AI Workflow of the Week is cost anomaly triage.
1. Watch daily spend by account, service and tag
2. Work out what changed and who owns it
3. Send the owner a plain English note with a suggested fix
4. A person approves. Nothing shuts off on its own

Our take: tagging and ownership come first. An agent can't route an alert to a team nobody wrote down.

Talk to us at [email protected]

Which version of the member handbook is your AI assistant reading?Plan documents change all year. In August, CMS updated...
10/08/2026

Which version of the member handbook is your AI assistant reading?

Plan documents change all year. In August, CMS updated the 2027 handbook, ID card and directory models for integrated D-SNPs in 23 states and territories.

An AI tool answering from a stale copy sounds confident and is still wrong.

Our take: every answer should point back to a specific document, version and date, with a named person who owns updates.

Talk to us at [email protected]

Colorado just gave health plans a preview of what an AI audit will look like.Starting January 1, 2027, AI can still help...
10/06/2026

Colorado just gave health plans a preview of what an AI audit will look like.

Starting January 1, 2027, AI can still help with utilization review. But a medical necessity denial needs a qualified human to review and approve it. And plans have to disclose where AI is used, how oversight works and how they keep audit records.

Our take: if you can't sketch your AI workflow on one page, start there.

Talk to us at [email protected]

Before you trust AI on eligibility or outreach, can your team answer these five?1. What data was in scope — and excluded...
10/01/2026

Before you trust AI on eligibility or outreach, can your team answer these five?

1. What data was in scope — and excluded?
2. What did the system recommend?
3. Who reviewed / could override?
4. What action reached the member?
5. Can you reproduce the path for audit?

CMS: AI may assist MA coverage decisions — individual circumstances still decide.

Our take: governance is whether you can answer without a war room.

Right Skale | DualEnroll.ai | PayerHealth.ai
[email protected]

Which of the five is weakest for you?

When leadership asks how an AI decision was made, "the model recommended it" is not enough.Eligibility and outreach need...
09/29/2026

When leadership asks how an AI decision was made, "the model recommended it" is not enough.

Eligibility and outreach need a trail:
• What data was used
• What the system flagged
• Who reviewed it
• What action closed the loop

CMS already allows AI to assist MA coverage determinations — if the decision still reflects the individual member.

Our take: build for the review you will have later, not the demo you have today.

Right Skale | DualEnroll.ai | PayerHealth.ai
Talk to us: [email protected]

What would your board ask for first — data lineage, override log, or member outcome?

CMS has given states a three-tier model for deciding who is medically frail under the new Medicaid work requirements. St...
09/25/2026

CMS has given states a three-tier model for deciding who is medically frail under the new Medicaid work requirements. States must generally start those requirements by January 1, 2027. That is 98 days from today.

The model, released Sept. 8:
Tier 1: a diagnosis alone confirms the condition significantly impairs the person's ability to meet the requirement.
Tier 2: a diagnosis plus supporting data, such as pharmacy, equipment, or utilization records.
Tier 3: records are unclear or missing, so the case goes to manual review and may need documentation.

For health plans, this is an operations question. CMS lists managed care encounter data and plan care management information among the sources states can use. Members with thin records land in Tier 3. That is where people miss a notice, a document request, or a deadline.

Our take: the frailty call will lean heavily on data plans already hold. Plans that clean up encounter data and reach members early can keep eligible people from losing coverage over paperwork. Plans that wait for state notices will be working Tier 3 cases in January.

Right Skale builds AI for eligibility and enrollment operations: organizing member data, flagging who needs follow-up, and supporting outreach until the loop is closed.

Where will your team feel the pressure first: data sharing with the state, member outreach, or documentation follow-through?

Source: CMS guidance (Sept. 8, 2026), summarized by State Health and Value Strategies (Sept. 11, 2026).

Talk to us: [email protected] | rightskale.ai | dualenroll.ai | payerhealth.ai

Did you know?Eligible full-benefit dual-eligible members can use the Integrated Care SEP to align Medicare and Medicaid ...
09/09/2026

Did you know?

Eligible full-benefit dual-eligible members can use the Integrated Care SEP to align Medicare and Medicaid coverage once per calendar month, when a qualifying integrated D-SNP and affiliated Medicaid plan are available.

The opportunity is monthly. Making it meaningful takes accurate data, the right plan match, and clear member outreach.

Where does your organization see the biggest barrier to better Medicare–Medicaid alignment: eligibility data, plan matching, member outreach, or enrollment follow-through?

Did you know?As of January 1, 2026, impacted payers must issue prior-authorization decisions within 72 hours for expedit...
09/02/2026

Did you know?
As of January 1, 2026, impacted payers must issue prior-authorization decisions within 72 hours for expedited requests and 7 calendar days for standard requests.

This is more than a compliance deadline. It raises the standard for payer operations.

Meeting these timelines requires clear documentation, timely information, fewer manual handoffs, and better visibility into what is pending, what is missing, and what needs action next.

At PayerHealth.ai, we see this as more than a compliance requirement. Health plans need connected, auditable workflows that reduce administrative friction and make it easier for providers and members to navigate the process.
Because faster decisions matter, but clear, coordinated experiences matter too.

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AI is everywhere in healthcare right now.But among healthcare organizations actively scaling AI, only 18% consistently m...
08/26/2026

AI is everywhere in healthcare right now.

But among healthcare organizations actively scaling AI, only 18% consistently measure its financial impact.

That gap matters. AI should not just add activity or another dashboard. It should improve the workflows payer teams manage every day, helping identify members at risk of losing coverage, reducing enrollment friction, and showing what is actually working.

That is what we are building at PayerHealth.ai : practical AI tied to real payer operations and measurable outcomes.

For payer teams scaling AI: what metric tells you it is creating real value?

08/19/2026

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