What in case your customers by no means opened your app immediately once more?
They might merely ask their AI assistant: “Order me dinner,” “Discover a close by resort and e book a room,” or “Purchase a ticket for tomorrow night” – and get the lead to seconds. No looking out by means of the App Retailer, no looking by means of a number of apps, no navigating by means of your product’s interface.
Feels like a situation from the longer term? In actuality, this shift has already begun. AI assistants on Android and iOS are regularly changing into a brand new method for customers to work together with digital companies. They’re shifting past answering questions and are beginning to assist folks full real-world duties.
However this raises an vital query for companies: will your cell product turn into a part of this new expertise, or will an AI agent select your competitor’s app as a substitute?
Right this moment, most cell purposes are nonetheless constructed round a standard mannequin: customers open an app, discover the appropriate characteristic, and full an motion themselves. Nonetheless, the rise of agentic AI is altering the principles. Sooner or later, the worth of an app will rely not solely on its person interface but in addition on how simply AI brokers can perceive its capabilities and use them to unravel person wants.
That’s the reason Apple and Google are introducing new methods for AI assistants to work together with cell purposes. For builders, this represents a brand new technical problem. For companies, it is a chance to achieve a bonus by making ready earlier than opponents do.
From App-Centric to Intent-Centric: What’s Really Altering
For the previous twenty years, cell purposes have been constructed round one easy concept: the person involves the app and appears for the characteristic they want.
Have to order meals? Open a supply app, select a restaurant, discover a dish, and place an order.
Want to purchase a ticket? Open an airline app, enter your search standards, evaluate choices, and full the acquisition.
Have to switch cash? Open a banking app and undergo a number of steps to ship the cost.
This mannequin labored as a result of the app was the principle level of interplay between the person and the service.
However AI brokers are altering the way in which this interplay works.
As an alternative of pondering: “Which app ought to I open?”, customers will more and more suppose: “What do I have to get performed?”
For instance: “Discover me probably the most handy flight to Berlin subsequent Friday and e book it.”
The person doesn’t have to know which app to make use of, the place the appropriate button is positioned, or what steps are required. Their solely activity is to explain the specified end result – and the AI ought to discover one of the best ways to make it occur.
That is the shift from an app-centric method to an intent-centric one.
Within the conventional mannequin, an app waits for customers to open it. Within the new mannequin, an app must be prepared when an AI agent approaches it on the person’s behalf.
For companies, this represents a basic shift. The worth of a cell app will now not rely solely on its design, navigation, or variety of options. It’ll additionally rely on how simply AI brokers can perceive what the app can do and use these capabilities to unravel actual person wants.
In different phrases, the way forward for cell apps is not only about competing for a spot on the smartphone residence display screen. It’s about changing into the service that AI brokers select first when a person expresses an intention.
iOS: App Intents Simply Grew to become Obligatory
Builders now have a brand new normal strategy to make app capabilities out there to Siri, Apple Intelligence, and different system-level experiences.
Beforehand, customers needed to open an app themselves and navigate by means of the interface to finish a activity. Now, apps want to offer AI with a transparent strategy to entry particular capabilities – whether or not it’s inserting an order, discovering data, making a reserving, or finishing one other motion on the person’s behalf.
App Intents function a bridge between cell purposes and AI-powered assistants. They permit apps to attach their performance with Siri, Highlight, Shortcuts, and the Apple Intelligence ecosystem, enabling customers to work together with companies by means of pure language instructions.
For companies, this creates a brand new degree of app accessibility. Customers could now not have to seek for and open your app manually – they might merely ask Siri to finish a activity. If an app will not be ready for this sort of interplay, it dangers being unnoticed of the subsequent technology of person experiences.
That’s the reason Apple’s app intents have gotten extra than simply developer terminology. They characterize an vital a part of the longer term technique for cell merchandise.
Android: AppFunctions Is Coming – and Early Movers Will Win
Android is shifting in the identical path as iOS: cell purposes are regularly changing into a part of the AI agent ecosystem. The brand new AppFunctions method is designed to assist apps expose their capabilities to AI methods, permitting them to carry out actions on behalf of customers.
Right this moment, the expertise continues to be in its early phases and out there as a non-public preview for a restricted group of trusted testers. This implies it isn’t but a mature, broadly out there answer – however quite an early sign of the place cell growth is heading.
For companies, this creates a chance to organize forward of time. Corporations that begin evaluating their purposes and figuring out probably the most helpful capabilities to reveal to AI brokers right now will likely be higher positioned when the expertise turns into broadly out there.
Conceptually, Android AppFunctions is just like what number of builders already perceive MCP (Mannequin Context Protocol) within the AI agent ecosystem: it gives a structured method for clever methods to entry and use exterior companies. Within the cell world, AppFunctions might turn into a bridge between purposes and AI assistants, enabling new interplay eventualities with applied sciences comparable to Gemini on Android.
That’s the reason Google AppFunctions Gemini Android represents greater than only a new developer characteristic. It’s an early signal of a broader shift: cell purposes are shifting from standalone interfaces towards changing into lively individuals within the AI ecosystem.
Why This Isn’t Only a Developer Downside
With regards to integrating purposes with AI brokers, it’s straightforward to view it as one other technical activity for the event crew: add new capabilities, replace the codebase, and study new APIs. However the actuality is way broader. This isn’t solely about expertise – it’s about how customers will uncover and work together with digital merchandise sooner or later.
Think about this situation: a person desires to e book a resort. As an alternative of opening a well-recognized app and looking out by means of out there choices, they merely ask their AI assistant: “Discover me a resort close to the town middle and e book the most suitable choice inside my finances.”
At that second, a brand new sort of competitors begins. The person could by no means see a listing of accessible apps – the AI will select the service that’s greatest suited to finish the duty.
This creates the principle enterprise threat: your app might turn into functionally invisible to the rising variety of AI-first customers. Even when your organization has an awesome product, a big person base, and a robust cell expertise, failing to combine with AI brokers could imply your app will now not be a part of the brand new method customers work together with digital companies.
However this shift additionally creates vital alternatives.
Corporations that begin making ready early can acquire a brand new sort of benefit – distribution benefit inside the AI ecosystem. When customers categorical an intent, AI assistants will search for companies that may full the requested motion.
Sooner or later, success is not going to solely rely on having your app put in on a person’s smartphone. It’ll rely on changing into the app that AI chooses first when a person expresses a necessity.
That’s the reason making ready for AI brokers will not be merely about updating a cell utility. It’s a strategic resolution about whether or not your product will stay a part of the subsequent technology of person experiences – or whether or not opponents who put together earlier will take that place.
What It Really Takes to Implement This
Making an app prepared for AI brokers will not be merely about including a brand new characteristic or connecting one other API. Step one is knowing which app capabilities truly make sense to reveal to AI. Not each person motion must be out there by means of an assistant – the main focus must be on the eventualities that remedy actual person wants and create further worth.
As soon as these capabilities are recognized, the technical work begins. Builders have to outline out there capabilities, put together the required schemas and integrations, and take a look at how reliably AI brokers can work together with the appliance.
The scope of labor largely depends upon the present state of the product. Fashionable purposes with a well-structured structure could adapt quicker, whereas tasks with outdated codebases and vital technical debt could require preliminary modernization.
That’s the reason making ready for AI brokers will not be solely about adopting new applied sciences. It begins with understanding whether or not the inspiration of your utility is prepared for the subsequent stage of digital experiences.
Put together Your App – A Sensible Beginning Level
Getting ready your app for AI brokers begins not with expertise, however with the appropriate technique. Corporations can method this transition by means of a number of sensible steps:
- Audit your app capabilities
Establish which person actions truly make sense to reveal to AI assistants. Deal with the options which can be used most ceaselessly and supply the best worth.
- Assess your codebase readiness
Consider whether or not your present structure can help new AI integrations. If the app depends on
- Implement and take a look at the mixing
The method will differ between Android and iOS, as each platforms are at totally different phases of AI integration growth. It is very important take a look at not solely technical performance but in addition how successfully AI brokers work together with the app.
- Hold monitor of expertise updates
AI instruments and APIs are evolving quickly. Frequently monitoring platform updates will aid you adapt your app to new capabilities and keep a aggressive benefit.
Why Accomplice With SCAND for This
Getting ready an app for the AI agent period requires greater than including new integrations. In lots of instances, step one is knowing the present state of the product, figuring out architectural limitations, and making a dependable basis for future enhancements.
SCAND helps firms navigate this transition by combining experience in cell growth, AI options, and legacy modernization. For companies with older purposes, the journey usually begins with enhancing present codebases, lowering technical debt, and making the product prepared for brand spanking new capabilities.
With expertise constructing and sustaining cell options throughout each Android and iOS, SCAND understands the variations between platform ecosystems and may also help firms select the appropriate method for every one.
As AI-driven app experiences are nonetheless rising, working with applied sciences comparable to App Intents and AppFunctions requires the power to discover new approaches and adapt rapidly. SCAND helps companies put together their purposes for this subsequent stage of cell evolution, offering experience in areas comparable to app intents growth companies and changing into an app capabilities growth firm for organizations seeking to make their merchandise AI-agent-ready.
The businesses that put together early will likely be higher positioned to reap the benefits of new AI-powered person experiences – and SCAND may also help them construct that basis.