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 articleThe pilot phase is over for most enterprises we work with. CFOs now ask for cost-per-resolution, revenue influenced, and hours returned to the business — not demo videos. Successful programs share three traits: a single owner for AI outcomes, baseline metrics captured before build, and narrow scope that ships in under twelve weeks.
Failed programs share opposite traits: platform purchases before use cases, no production evaluation harness, and 'AI strategy' decks without a single workflow in production.
Document-heavy back office (invoices, contracts, claims), customer support augmentation, sales email and CRM enrichment, and code assistance for internal tools still top the ROI charts. Image and video GenAI ROI is real but narrower — marketing and catalog teams see wins; core ERP rarely does.
Lightweight governance beats heavyweight committees. We recommend a three-tier model: auto-approve read-only RAG over public docs; manager-approve customer-facing drafts; legal-approve anything regulatory. Log every prompt and response for 90 days minimum.
Our architects offer a free 30-minute consultation — no sales pitch, just answers.
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.
Read article