PBM oversight
Tennessee FAIR Rx Act Targets Pharmacy-Insurer-PBM Ownership
Tennessee’s final FAIR Rx Act is narrower than early drafts, but it still targets the pharmacy-insurer-PBM stack. CVS is suing to block the law before its July 2028 trigger.
PBM oversight
Tennessee’s final FAIR Rx Act is narrower than early drafts, but it still targets the pharmacy-insurer-PBM stack. CVS is suing to block the law before its July 2028 trigger.
Tariff
CBP’s $85B tariff refund figure is not one cash number. The May 26 declaration shows why refund value needs a status label before finance teams rely on it.
AI Governance
Two OpenAI wrongful-death complaints put chatbot safety controls, warnings, refusals, escalation, access restrictions, and model behavior into the pleadings.
Healthcare compliance
HHS AERO applies AI analytical tools to years of Single Audit history, putting unresolved findings, delinquent submissions, and corrective-action records back in view.
Healthcare compliance
Federal agencies finalized new IDR operations requirements under the No Surprises Act, shifting more attention to claim communication, portal timing, batching, payer identity, and eligibility review.
Healthcare compliance
HHS OIG found similar net drug costs for selected Medicare Part D drugs, but different payment paths and incomplete pharmacy-level DIR traceability.
Cybersecurity Risk
Anthropic’s Project Glasswing shows AI vulnerability discovery is moving faster than validation, disclosure, patching, and evidence workflows can absorb.
April 2026 turns four standing compliance obligations into operational proof tests: Maryland's MODPA, the DOJ's ADA Title II WCAG 2.1 rule for public entities, Missouri's EVV claims validation, and quarterly reporting cycles in Washington and Rhode Island.
February 2026 marks a shift from policy principles toward execution, as AI governance guidance and fiscal signals converge, narrowing planning flexibility without fully resolving outcomes for regulators or markets.
Most AI and policy coverage offers news without implications or opinions without accountability. The PolicyEdge AI Intelligence Terminal is a member-only layer built for decision-makers who need early signals, deeper interpretation, and defensible insight before risk becomes visible.
Policy signals, enforcement trends, and compliance insights for executives navigating regulatory change.
The FTC’s proposed Cox Media settlement shows why AI marketing claims, voice-data claims, consent claims, and targeting claims need evidence before they reach customers.
H.R. 8871 would create a 90-day claims-submission period for certain Medicare DME items and require GAO to examine MAC screening technology.
A House letter asks major AI companies how election-related chatbot answers are sourced, audited, labeled, and corrected before the 2026 midterms.
GAO found little covered Chinese telecom equipment on selected agency IT networks, but documented supply-chain visibility gaps tied to scans, records, white-labeling, subsidiaries, and affiliates.
The Charity Parity Act would allow qualifying direct charitable distributions from employer-sponsored retirement plans, but it remains proposed legislation. The operational issue is plan-to-charity routing, recipient eligibility, and clear current-law communication.
Dragos’ water utility report shows how commercial AI helped an adversary identify OT-adjacent infrastructure after IT compromise, without evidence of successful OT breach.
April inflation cut into real wage gains. The policy response under discussion — a federal gas-tax holiday — targets gasoline, not the full household cost stack.
Apple’s proposed Siri AI settlement shows why AI feature claims need evidence tied to shipped functionality, timing, and availability.
Pennsylvania’s Character.AI filing highlights a narrow AI governance risk: chatbot personas that claim licensed professional status.
Optum Rx’s fee-based PBM model adds market context to DOL’s proposed PBM fee-disclosure rule and the broader push for compensation transparency.
New federal bank model-risk guidance excludes generative and agentic AI from scope, but points governance back to banks’ own risk controls.
HBR research shows AI “employee” framing can blur accountability and reduce review quality. The governance fix is not better job titles for agents — it is clearer human ownership, decision rights, and evidence.