The House of Representatives is probing a N1.3bn budget allocation to a 'fake' agency, the Presidential Foreign Investment ...
Independent Newspaper Nigeria on MSN
House launches probe into alleged N1.3bn ghost agency budget allocation
Torkwase Nyiekaa,The House of Representatives on Wednesday launched an investigation into the alleged allocation of more than N1.3 billion to a non-existent government agency in the proposed 2026 ...
…..probe to focus solely on budgetary process and institutional failures that enabled inclusion of agency in budget By Ayorinde Oluokun The House of Representatives on Wednesday constituted an ad hoc ...
Say you registered your business two years ago, called it something that felt right at the time, and now the name no longer ...
Of the roughly 1 million disputes taken through the law's arbitration process in Q2 2025, around 129,000 were for lab codes, with payments for basic tests averaging hundreds of dollars.
More than two and a half years after the federal agencies published the Federal Independent Dispute Resolution (IDR) Operations proposed rule, ...
On June 24, 2026, the European Commission published two companion proposals that together would materially simplify and recalibrate the EU direct ...
An analysis of the June 2026 final rulemaking that updated the federal independent dispute resolution (IDR) process, the ...
Healthcare technology company Zelis rolled out an AI-native solution to help health plans manage Independent Dispute Resolution complexity under the No Surprises Act. | Healthcare technology company ...
Conflict resolution is an essential skill for leaders and learning how to “fight right” will get you further than avoiding ...
A new federal rule aims to overhaul the No Surprises Act protocols, particularly as large volumes of disputes are pushed to arbitration. The rule, finalized jointly by the Departments of Health and ...
Financial institutions are investing heavily in AI. They are building copilots, risk intelligence systems, compliance assistants, customer service agents, fraud detection models, and automation ...
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