Shipping Apple Intelligence Features: App Store Strategy for iOS 27
How to market, gate, and review-proof Apple Intelligence features in iOS 27 — without promising capabilities unavailable on older devices.
Read articleApple formally deprecated SiriKit at WWDC 2026. Existing SiriKit handlers still compile in Xcode 27 but emit deprecation warnings and do not surface in the new Siri AI agent flows. App Intents is now the only supported integration path for third-party actions on iOS 27.
The business impact is discoverability. Apps without App Intents are invisible to Siri AI, semantic Spotlight search, Focus filters, the Action Button, and conversational shortcuts. Enterprise MDM apps are the main exception; consumer products are not.
App Intents 2.0 adds the View Annotations API so users can reference on-screen entities in natural language ('share that invoice', 'remind me about this task'). Streaming responses support long-running operations without blocking Siri. The App Intents Testing framework validates integrations through system pathways — no fragile UI automation required.
Entity schemas are richer: persistent identifiers, indexed properties, and tighter SwiftData/Core Data bridging. If your domain model was not intent-friendly, now is the time to refactor.
Weeks 1-2: inventory SiriKit domains, usage analytics, and dead code. Weeks 3-6: implement App Intents parity for top three user actions. Weeks 7-8: beta test with internal users on iOS 27; fix phrase disambiguation issues. Week 9+: add View Annotations on key screens if your UX is visual-heavy.
Budget 3-6 engineering weeks for a medium-complexity app with existing SiriKit. Greenfield apps should design App Intents first, UI second.
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How to market, gate, and review-proof Apple Intelligence features in iOS 27 — without promising capabilities unavailable on older devices.
Read articleXcode 27 ships with Swift 6.2, stricter concurrency checking, App Intents testing, and on-device agentic assistants — adoption notes from our mobile CI pipeline.
Read articleCore AI is Apple's new low-level framework for loading, specializing, and executing custom models on Apple Silicon with memory-safe Swift APIs — here is when to use it over Foundation Models.
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