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Newest case studies
The latest enterprise AI and CX programs we've published, newest first.
- Healthcare Providers· Jul 2026
Nurse triage and discharge copilot cuts length of stay 0.6 days at a 9-hospital system
Read case → - Healthcare Providers· Jul 2026
Early-out self-pay AI lifts collections 29% at a 900-provider physician group
Read case → - Healthcare Providers· Jul 2026
72% straight-through prior authorizations at an 11-hospital system — agentic RCM
Read case → - Healthcare Providers· Apr 2026
Perioperative and infusion scheduling optimization — 19% OR utilization lift
Read case → - Healthcare Providers· Apr 2026
Unified patient-services concierge handles 52% of inquiries without a live agent
Read case → - Healthcare Providers· Apr 2026
33% reduction in bad debt placement at a regional health system — compliant patient collections
Read case →
Cutting LLM spend 41% at a Fortune 100 insurer
A Fortune 100 insurer had 40+ AI workloads across Azure and Bedrock with no unified cost view, no routing controls and a spend curve that was going to cross eight figures inside 18 months. pronix.ai stood up an LLM FinOps program that cut spend 41% with no measurable quality regression.
1,800-agent contact center cutover in six months at a P&C insurer — zero claims disruption
A P&C insurer needed off legacy Avaya before CAT season and wanted agent assist, screen pop from Guidewire and callback orchestration on day one. pronix.ai cut over 1,800 agents to Amazon Connect in six months with zero major CAT-season disruption.
34% underwriting cycle-time reduction at a commercial insurer — agentic submissions triage
A top-15 commercial insurer's underwriters spent 60% of their day sorting broker submissions instead of pricing risk. pronix.ai deployed an agentic submissions triage workflow with appetite-fit scoring — cycle time down 34%, underwriter throughput up 2.1x and every decision traceable to a broker-visible reason.
First-notice-of-loss in under 4 minutes at a life insurer — empathetic voice AI
First-notice-of-loss calls at a life insurer averaged 14 minutes and often required beneficiaries to repeat traumatic details across three teams. pronix.ai launched an empathetic voice AI for FNOL intake — 4-minute complete capture, warm hand-off on any distress signal and 100% policy-verified data downstream.
58% broker submission-to-quote lift at a specialty insurer — GenAI broker portal
A specialty insurer was losing broker mindshare because brokers couldn't tell what business the carrier wanted. pronix.ai built a GenAI broker portal with self-serve appetite guidance and instant preliminary indications — 58% lift in submission-to-quote conversion in two quarters.
Enterprise knowledge AI grounded on 2.4M policy documents at a national insurer
Underwriters and claims staff were working from conflicting versions of the same procedure. pronix.ai built a governed enterprise knowledge layer over 2.4M documents with ownership, freshness and citation enforced — 94% answer accuracy on the evaluation set and a citation on every single response.
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We work with clients to publish anonymized case studies when the numbers deserve it — usually at the 12-month mark post-cutover.