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How Gorilla Logic Accelerated AHP’s Multi-Year Modernization with Claude

At a glance

  • Client
Academic HealthPlans (AHP), part of the Brown & Brown Team
  • Industry
Insurance; HealthTech
  • Solution Provided
Platform Modernization, AI-Enabled Engineering, Claude Adoption & Implementation
  • Technologies Used
Claude and Claude Code (Anthropic), Model Context Protocol (MCP), Playwright, AWS
Executive Summary

Academic HealthPlans had spent years trying to complete its platform modernization. With schools still split between its legacy system and Care26, AHP was maintaining two platforms simultaneously, increasing costs while struggling to complete the migration and keep delivering new capabilities. Gorilla Logic used Anthropic’s Claude to help assess the existing platform, identify what was holding the modernization back, and establish a clear path forward. Rather than starting over, we developed a roadmap to complete the migration and embedded Claude Code into day-to-day engineering, supported by consistent development practices and dedicated migration and innovation teams. The impact was measurable within weeks: test automation coverage increased from below 10% to 47%, regression testing time dropped by approximately 50%, and engineering sprint productivity increased by 2.6X.

The Challenge

● The migration kept being extended. AHP had to maintain separate infrastructure and engineering support for two platforms, increasing operating costs and complicating the delivery of new capabilities.

● Engineering delivery was unpredictable. Inconsistent practices across multiple vendors made it difficult to forecast progress, plan migrations, and commit to customer timelines.

● Innovation couldn’t stop. AHP needed to continue improving its services and introducing new capabilities to attract and retain schools while completing the migration.
AHP needed a practical path to one platform, dependable engineering delivery, and the capacity to keep improving its services throughout the transition.

The Solution

Gorilla Logic assessed what was preventing the migration, developed a roadmap, and began executing it. The work combined changes to engineering practices with AI-supported development and testing.

Assessed the platforms and engineering organization.

Used Claude-assisted analysis to review code, documentation, interviews, and delivery practices. Identified and prioritized the improvements needed to move the remaining schools from the legacy system to Care26.

Established the engineering
foundation.

Introduced shared priorities, responsibilities, development standards, and performance reporting. Implemented Claude Code, an AI harness, shared engineering knowledge, and Model Context Protocol (MCP) connections, with security controls and human review.

Launched migration and innovation work in parallel.

One team builds the capabilities needed to move schools off the legacy platform. The other develops new functionality and infrastructure improvements. Test automation supports both teams’ ongoing delivery.

The Results

While the migration is still underway, Gorilla Logic has already delivered measurable improvements in how AHP develops, tests, and delivers software.

● Claude helped put the migration back on a predictable timeline. Gorilla Logic used Claude to assess what was holding the migration back and Claude Code to speed up the engineering work needed to finish it, giving AHP a clear roadmap and a firmer path to completion after repeated extensions.

● Automated test coverage increased from below 10% to 47% in approximately six weeks. Leveraging Claude Code for automated test generation and validation, AHP now has automated testing running daily, helping teams identify issues earlier and improve the quality of migration releases.

● Regression testing time decreased by approximately 50%. Faster testing gives engineers quicker feedback on changes, reducing delays as they build the remaining capabilities needed to complete the migration.

● Engineering team’s story point productivity increased 2.6X. The adoption of Claude Code and native MCPs into Jira combined with improved processes resulted in massive increase in story point completion.

● Leadership gained visibility into 10 key engineering and quality metrics through a single dashboard. With Claude Code and a custom harness pulling directly from Jira, TestRail, and GitHub, AHP can better track progress, identifypotential blockers and take early remediation steps, and coordinate work across
multiple engineering teams.