OpenNashPrepared for Vincent MiceliVincent Miceli / VP, AI and Automation / Point C
We did the homework
on Point C.
Vincent - you have already built practical healthcare AI. We found three Point C workflows where AI automation can absorb hiring pressure and free your team for higher-value work.
Three places we would start.
Pick one workflow. We automate the prep work at no charge for 14 days and show whether it can delay a hire, reduce rework, or move people to higher-value queues.
Plan setup is carrying hire-level pressure.
Point C is recruiting around plan building, configuration, testing, and auto-adjudication quality.
We automate the prep: plan-change packets, test cases, rule diffs, and exception notes before a reviewer opens the queue.
Claims examiners should not hunt for context.
The Claims Examiner role names missing information, appeals, subrogation, coding checks, and stop-loss terms.
We prepare the claim packet, flag missing inputs, summarize plan context, and let examiners spend time on decisions.
Stop-loss and EDI handoffs leak time.
Public roles name data scrubbing, carrier coordination, network reporting, Azure portals, CRM, Argus EDI, and X12 flows.
We clean incoming data, prepare handoffs, update trackers, and route exceptions before they become another status meeting.
Vincent, give us 30 minutes.
Bring the ugliest claims, plan-build, or EDI queue. We will make it worth your time: automation map, hire-pressure math, and a 14-day no-charge start.