A readiness service for connecting app functions to assistants

App functions are becoming discoverable beyond the screen

On October 21, 2026, Google released the first beta of development tools that let AI assistants discover and run functions in Android apps. A beta is a stage for testing structure and use before a full release. App operators can choose to expose only functions intended for use outside the app, such as checking a reservation, adding an appointment, or checking an order status.

The flow is simple. An app registers a function’s name, description, and required inputs. Android organizes that list, and an assistant with the required permission finds and runs the matching function for a user request. Instead of tapping through several screens, a user now has an entry point where they can assign a task in one sentence.

This beta officially changes three things. It moves where function names are declared in code, requires developers to explicitly state whether their written descriptions should be used as assistant guidance, and strengthens inspection tools so teams can test the latest execution architecture. This is less about adding a major new feature than making it clearer what an app exposes and how it should be tested.

It is not yet ready for universal commercial use across every app and phone. Official guidance targets Android 16 or later, while support on some earlier devices depends on the manufacturer and system configuration. Discovering and running functions from other apps also requires separate permission, and Gemini’s availability for connecting general users to all third-party apps remains limited.

The first customers are small teams with many functions

Picture a specific early customer: an operations lead at a 12-person pet-grooming booking app, responsible for both planning and customer inquiries. The app has store search, available-time lookup, booking requests, schedule changes, cancellations, and visit-history lookup, but these are spread across different screens and rules.

To prepare for assistant connections today, this person would open each screen, copy function names into documentation, and ask developers about inputs and failure conditions. A function such as changing a booking also requires them to document login status, store hours, fully booked times, and cancellation fees. When the documentation changes, they must try multiple phrasings of a request on a test phone and record the results again.

With the new approach, the app can describe the functions it exposes in a consistent format. When a user says, “Find available grooming times on Saturday afternoon,” an assistant can locate the availability lookup function, collect the needed location and date, and return results. If the user then requests a booking, the flow can be split so that the app opens its confirmation screen before payment or final confirmation.

That does not remove the human work. The operator still needs to define when “afternoon” begins, which pet is meant when two have the same name, and whether an action that triggers a cancellation fee can be executed immediately. The wording shown when an assistant misunderstands a request, and the route to human support, also remain human decisions.

A practical place to find the first ten customers is not among large banks or delivery platforms. It is among small app development and operations agencies that manage several booking, ordering, or on-site visit apps for clients. If one agency handles three or four client apps, it repeatedly faces the same work: writing function lists, designing confirmation screens, and running repeat tests. Winning one agency can make it easier to test across several apps and create an early case study.

These teams are more likely to be found through developer contact details on Google Play and portfolios on app studio websites than in a single community. In the first interview, check whether they currently rely on screen-flow documents, spreadsheet lists, developer-made test commands, and manual checklists. Teams that already manage this documentation may be willing to pay less for the new technology itself than for less document copying and faster error detection.

What you can sell now is not a promise to make ordering work directly in Gemini. It is a preparation service that selects functions to expose, organizes descriptions, separates risky actions, repeatedly tests supported devices, and records the results. Even if the scope of general release changes, function lists and confirmation rules can be reused for other assistants or in-app search, reducing the chance that the customer’s preparatory work is discarded.

The earliest opening started with narrow actions

Google Gemini’s multi-step tasks

In February 2026, Google started a beta for Gemini multi-step tasks in the United States and South Korea for food ordering, grocery shopping, and ride-hailing apps. When a user asks to repeat a previous order or call a ride home, Gemini handles several app steps within a limited virtual screen, while the user checks progress through notifications.

The starting point was not to open every app function. It focused on three areas with frequent, repeatable actions and clear outcomes. Google did not state that it charges a separate assistant-use fee for execution, while food and ride charges continue to be billed through the existing apps. Order conversion and automatic completion rates have not been published, so this is best viewed as an early operating example.

CardPointers’ Siri connection in the United States

CardPointers, a US app that recommends credit-card benefits, announced that it registered 36 actions using Apple’s app-function connection method and connected Siri across five areas. Users can ask which card and benefit fit a location or purchase situation, or use their card information with other Apple features. The figure of 36 comes from the company’s own announcement and needs separate verification.

CardPointers offers a free basic version, plus paid CardPointers+ subscriptions and a lifetime option. What matters is that it broadened actions that are easy to reverse, such as looking up personal card information and recommendations. It is an example of how a small app can turn a few frequently asked questions into assistant-ready functions and use them as an entry point to paid features.

Four things you can build now

1. An assistant-function inventory builder

• What it does: Reads app screens and existing operating documents, then organizes functions to expose to an assistant, their inputs, results, and failure conditions in one place.
• Who uses it: App operations agencies of around ten people that manage booking, membership, and payment apps for clients.
• Why now: The beta requires an explicit choice about function descriptions, creating work for operators before development begins.
• First screen: After selecting an app name, users see a list that sorts functions into “available for lookup,” “run after confirmation,” and “do not expose.”

2. A pre-execution confirmation screen builder

• What it does: Adds final confirmation screens and cancellation paths to actions that can create costs or losses, such as orders, booking changes, and cancellations.
• Who uses it: Operations teams for local grooming, clinic, and repair-visit booking apps that handle bookings through both phone calls and app or voice requests.
• Why now: Even when an assistant finds a function, it can misunderstand the amount, date, or target. The app needs to own the final confirmation.
• First screen: A phone-shaped preview shows the action, target, date and time, amount, and “Confirm” and “Go back” buttons.

3. A repeat-testing service across devices

• What it does: Runs the same request on test phones with different supported versions and manufacturers, then collects reasons for success and failure.
• Who uses it: Agencies with only two or three Android developers that manage several client apps at once.
• Why now: Support varies by operating system and device configuration, and the tools themselves are in beta, making it hard to launch confidently after testing on only one phone.
• First screen: For each device, a traffic-light view shows “function discovered,” “input passed,” “execution complete,” and “confirmation needed.”

4. An assistant execution log and support tool

• What it does: Records which assistant requested which function, when it did so, and where it stopped, helping with customer inquiries and bug fixes.
• Who uses it: Customer support staff at local service apps that receive repeated daily questions about order lookups or booking changes.
• Why now: As more actions happen without a user directly tapping app screens, customers and support staff may be looking at different screens when describing a problem.
• First screen: A recent execution list shows the request sentence, selected function, confirmation status, and result, alongside a “Send guidance to customer” button.

What to verify in 30 minutes today

Find three South Korean operations agencies that build booking, ordering, or on-site visit apps through Google Play, then call them or send the same question through their contact channels: “Where do you currently document client-app function names, input values, and failure conditions, and what would you need to rebuild first if a request came in to connect an AI assistant?” If two of the three use spreadsheets or manual checklists and show interest in organizing this work in one place, the function inventory builder is worth testing first.

Why this matters where you are

Check whether app agencies in your market already maintain function names, inputs, and failure conditions in separate spreadsheets or manual test documents. Assistant availability, device support, and platform permissions may differ from the Android conditions described here. But selecting safe functions, defining confirmation rules, and recording test results are practical tasks you can validate with teams that manage multiple apps.