AI Enablement at Store Lens

Claude agents operate in the background triaging the board, analysing new crash reports and work on ticket that are ready for AI, each one delivered as a pull request that has already passed tests and AI review. Developers judge and merge. Hands off, eyes on.

Agents writes test cases in plain English, reviewed by humans. For each case, a Claude agent drives the real self-checkout app on an Android emulator, scanning, paying, removing items, and verifies the outcome from what's actually on screen, delivering a strict pass/fail verdict with screenshot evidence. Regression testing now runs on demand instead of waiting for a tester with a device.

With the system connected to Slack, anyone can @-mention the team's Claude-powered bot with a plain-language question. Getting answers around functionality or analytics that the apps produce has never been easier.

A version-controlled knowledge base gives every agent the same context the team has, architecture, fiscal rules and conventions. Claude keeps it fresh by crawling internal wikis weekly, and maintains the product's user manuals with screenshots rendered straight from the apps. Documentation became a by-product of building.

Nothing ships without a human decision. Agents run in isolated cloud environments with scoped credentials, every change passes quality gates before a person sees it, and a developer always reviews and merges. That's the method: encode the team's standards once, and let Claude apply them on every ticket.