10 companies have fixed this with AI, most of them in Technology & Software, Healthcare & Life Sciences and Insurance. 7 of the 8 that disclosed a timeline were live inside two months; the longest took 2–4 months. One disclosed cost: $25K – $100K. Built mostly as AI-accelerated custom software, AI workforce enablement and data synthesis & reporting, on Claude (Anthropic), Bolt / Lovable / v0 and Snowflake. 5 builders in the Pluris network have done it.
Xplor Technologies, a global software and payments group backed by Advent International, Battery Ventures and Silver Lake, runs 40+ products with about 700 engineers on.
When Bonsai Labs came in, AI adoption across Edmunds GovTech's product and engineering organization was low.
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.
Developers had AI coding tools and external support, but adoption was inconsistent with no governance model for AI-generated artifacts.
Rootstrap's engineers already used Cursor and Claude Code for autocomplete and pair programming, but few worked with sub agents or reusable skills, and little AI was.
Managing infrastructure as code is complex and error-prone, steep learning curves, inconsistent standards, and frequent configuration mistakes.
One of Latin America's largest education technology companies had grown through rapid M&A, leaving engineering practices fragmented across multiple codebases.
A leading global health and wellness brand had no meaningful AI tool adoption across its engineering organization.
A healthcare media and events company came to Wallabi requesting a simple email automation workflow.
A healthcare media and events company came to Wallabi asking for an n8n email automation expert.
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