How iPhone Apps Can Use AI Agents to Automate Multi-Step User Tasks

The user does not need to understand which screen performs each action.

This is where Apple's App Intents framework becomes important. Developers can describe the entities and actions their apps support so Siri and Apple Intelligence can understand what the app can do. Apple says these actions can also surface through system experiences such as Spotlight, Shortcuts, widgets, and Siri.

2. Build Agents Around Tools, Not Just Prompts

A production agent needs access to reliable tools.

For an iPhone banking application, for example, an agent might have access to tools such as:

• get_transactions
• categorize_expense
• get_account_balance
• create_budget
• schedule_payment
• export_statement

The model decides which tools are relevant to the user's request, while the application controls what each tool is actually allowed to do.

A request such as:

“How much did I spend on restaurants last month, and set a $500 dining budget for this month.”

could therefore become a multi-step workflow:

Retrieve transactions → classify spending → calculate total → create budget → confirm completion.

The agent is not directly given unrestricted control of the application. Instead, its capabilities are exposed through defined functions with authentication, authorization, validation, and business rules.