LifecyclePilot is an AI lifecycle orchestration copilot that uses computer use to keep email, in-app, and ad journeys in sync across disparate tools. Lifecycle marketers constantly fight fragmented stacks—Braze/Klaviyo for email, Intercom for in-app, Meta/Google for ads—making coordinated experiments slow and error-prone. LifecyclePilot agents log into each UI, clone segments, align triggers, and standardize experiments (e.g., pricing test, onboarding variant) with one config. - Marketers design experiments in a simple schema; agents push the setup into each channel’s native interface and validate it. - A compliance layer checks for consent flags, regional regulations, and brand rules before activating. - Results are pulled via UI scraping where APIs are weak, feeding a single experiment ledger that builds a proprietary knowledge base of “what works by lifecycle stage and region.”