How a Top 5 Pharma Company Eliminated MLR Review Bottlenecks with Revisto
How a Top 5 Pharma Company Eliminated MLR Review Bottlenecks with Revisto
How a Top 5 Pharma Company Eliminated MLR Review Bottlenecks with Revisto
The MLR Crisis is Real—And Getting Worse. 162 days to approval. 81 review cycles. For a single piece of content.
Sound familiar?
Comprehensive AI Works
Our case study partner was a top 5 global pharmaceutical company with annual revenues exceeding $40 billion. Their existing MLR process showed significant inefficiencies with materials requiring up to 162 days to approval and up to 81 review cycles for a single material.
Through our comprehensive analysis, Revisto demonstrated measurable improvements while discovering critical compliance gaps that had been missed in the original human review process. The AI-human collaboration approach transformed their review efficiency while maintaining rigorous quality standards.
What You'll Find in This Case Study
This comprehensive analysis provides detailed insights into how Revisto addresses the full spectrum of MLR challenges. You'll discover:
Methodology: How we conducted rigorous validation using 478 pages of real promotional materials across multiple content types and therapeutic areas
Five Critical Categories: Complete analysis and distribution of five critical areas driving bottlenecks in MLR: Editorial & Brand Guidelines, Market & Channel Compliance, Regulatory Compliance, Claim Substantiation, and Fair Balance
Performance Measurement: Detailed metrics showing accuracy rates, claim substantiation, and process improvements across each category
Implementation Process: Seamless integration with existing workflows and resource requirements for getting started
We invite you to read the case study for yourself, then contact us for a demo to learn how Revisto can help solve your MLR challenges.
Comprehensive AI Works
Our case study partner was a top 5 global pharmaceutical company with annual revenues exceeding $40 billion. Their existing MLR process showed significant inefficiencies with materials requiring up to 162 days to approval and up to 81 review cycles for a single material.
Through our comprehensive analysis, Revisto demonstrated measurable improvements while discovering critical compliance gaps that had been missed in the original human review process. The AI-human collaboration approach transformed their review efficiency while maintaining rigorous quality standards.
What You'll Find in This Case Study
This comprehensive analysis provides detailed insights into how Revisto addresses the full spectrum of MLR challenges. You'll discover:
Methodology: How we conducted rigorous validation using 478 pages of real promotional materials across multiple content types and therapeutic areas
Five Critical Categories: Complete analysis and distribution of five critical areas driving bottlenecks in MLR: Editorial & Brand Guidelines, Market & Channel Compliance, Regulatory Compliance, Claim Substantiation, and Fair Balance
Performance Measurement: Detailed metrics showing accuracy rates, claim substantiation, and process improvements across each category
Implementation Process: Seamless integration with existing workflows and resource requirements for getting started
We invite you to read the case study for yourself, then contact us for a demo to learn how Revisto can help solve your MLR challenges.
The MLR Crisis is Real—And Getting Worse. 162 days to approval. 81 review cycles. For a single piece of content.
Sound familiar?
The MLR Crisis is Real—And Getting Worse. 162 days to approval. 81 review cycles. For a single piece of content.
Sound familiar?
Comprehensive AI Works
Our case study partner was a top 5 global pharmaceutical company with annual revenues exceeding $40 billion. Their existing MLR process showed significant inefficiencies with materials requiring up to 162 days to approval and up to 81 review cycles for a single material.
Through our comprehensive analysis, Revisto demonstrated measurable improvements while discovering critical compliance gaps that had been missed in the original human review process. The AI-human collaboration approach transformed their review efficiency while maintaining rigorous quality standards.
What You'll Find in This Case Study
This comprehensive analysis provides detailed insights into how Revisto addresses the full spectrum of MLR challenges. You'll discover:
Methodology: How we conducted rigorous validation using 478 pages of real promotional materials across multiple content types and therapeutic areas
Five Critical Categories: Complete analysis and distribution of five critical areas driving bottlenecks in MLR: Editorial & Brand Guidelines, Market & Channel Compliance, Regulatory Compliance, Claim Substantiation, and Fair Balance
Performance Measurement: Detailed metrics showing accuracy rates, claim substantiation, and process improvements across each category
Implementation Process: Seamless integration with existing workflows and resource requirements for getting started
We invite you to read the case study for yourself, then contact us for a demo to learn how Revisto can help solve your MLR challenges.