Case study · From the Pluris libraryReceipt no. 4456
What sucked
The insurer's 30 person engineering org was slowed by legacy tooling, inconsistent developer environments and workflows across teams, and AI that was adopted ad hoc rather than built in.
The goal was to move to an AI native, agentic delivery model without disrupting governance.
What they built
Eliza designed and coached an agentic SDLC for a specialty insurer's 30 person engineering org, standardizing environments on GitHub Enterprise and embedding AI across coding, testing, documentation, and review.
What changed
~5x output
Roughly 5x engineering throughput for the 30 person org after moving to an agentic SDLC
10 weeks to 1
Feature development cycle compressed from 10 weeks to one week
80-90% first pass
80 to 90 percent first pass completion rate on AI assisted work
More fixes like this
- How Jewelbench Cut Jewelry CAD Modeling Time by 95%Ideas2IT Technologies · Manufacturing & Industrial
- How Superintelligent Interviewed 150 Staff for $500 With AIFractional AI · Technology & Software
- How Walmart Cut 18 Weeks From Fashion Design-to-ShelfHuman Machines Group LLC · Retail & E-Commerce
- How a Legal Tech Firm Won Back 7-Figure ARRBonsai Labs · Legal & Compliance