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  • Why fragmented feedback is costing financial institutions—and how to fix it 

    Why fragmented feedback is costing financial institutions—and how to fix it 


    Customer feedback might not have a place on a balance sheet, but it’s an asset all the same. For financial services firms navigating the complexities of digital transformation, regulatory pressure, and shifting customer expectations, feedback is not just a box to check. It’s a competitive differentiator. 

    Our new e-guide, The Financial Services Industry’s Guide to Collecting Customer Feedback, digs into the practical strategies financial institutions are using to capture feedback across every touchpoint, from in-branch visits to mobile banking. 

    But in this blog, we’re zooming in on one foundational theme: what it really takes to build a modern, omnichannel feedback program tailored to the financial services industry. 

    Whether you’re managing a regional credit union or scaling a national bank’s CX program, one thing is clear—fragmented feedback leads to fragmented service. 

    The foundation of a successful omnichannel feedback program 

    Omnichannel feedback isn’t just about collecting responses from more places; it’s about making feedback more actionable across your institution. To get there, you need clear ownership, the right integrations, centralized analysis, and cross-functional value. Let’s break it down. 

    Clear program ownership is essential  

    Financial services firms operate under strict compliance requirements and serve a wide range of customer segments—from retirees managing IRAs to Gen Z banking exclusively on their phones. That makes CX and feedback program ownership especially tricky. 

    Some banks assign ownership to marketing, which ensures alignment with brand perception, but may miss operational issues like wait times in branches or frustrations with call center routing. Others leave it to the service team, which captures post-resolution feedback but may overlook pre-sale concerns or product feedback. 

    That’s why many financial institutions are now appointing a centralized owner, often a Chief Customer Officer or Head of Member Experience, who can bridge silos and ensure feedback flows to the right people across marketing, risk, digital, and service operations. 

    FinServ Pro Tip: If you’re launching an enterprise-wide CX program, establish a cross-functional CX council to review trends, align strategy, and report feedback-driven wins to leadership and compliance teams. 

    Integrations connect the dots 

    Collecting feedback is just the start. For financial institutions, the real value comes from integrating that feedback into core systems—your CRM, loan origination system, mobile banking app, or even your fraud monitoring platform. 

    Imagine this: 

    • A customer leaves a poor NPS rating after applying for a mortgage online. 
    • That score is automatically pushed into your CRM, updating the contact record. 
    • An alert is triggered for the loan servicing team to follow up—and a retention offer is personalized in their next mobile login. 

    That’s what feedback integrations look like in a  modern FinServ customer experience program, routing feedback, informing stakeholders, and resolving issues.  

    Centralized analysis unlocks real insights 

    Financial institutions face a unique challenge: feedback is everywhere—digital channels, call centers, in-branch visits, ATMs—and most of it is siloed. 

    • Direct feedback from mobile banking surveys helps you spot app friction. 
    • Indirect feedback from social media might highlight frustrations with your overdraft policy. 
    • Open-text responses from mortgage applicants could reveal confusion around closing disclosures. 

    Without a centralized view and place for analysis, these insights stay buried in departmental reports or lost in spreadsheets—valuable feedback that never makes it to the teams who need it most. 

    Platforms like Alchemer help banks consolidate feedback, from NPS surveys to kiosk surveys, into actionable dashboards. With this unified view, data and CX teams can detect patterns, surface urgent issues in real time, and inform decisions across product development, risk management, and compliance strategies. 

    Why Omnichannel Feedback Matters for Every Financial Team 

    Here’s how a well-integrated omnichannel program supports key departments across a bank or credit union: 

    Marketing Teams 

    Capture sentiment across digital channels to refine messaging and build brand trust—especially crucial during rate changes or economic downturns. 

    Product Teams 

    Use app store reviews, in-app prompts, and feature surveys to identify usability issues, test new features, and prioritize improvements to your checking or investment products. 

    Customer Service Teams 

    Post-call and post-chat feedback helps track resolution quality and improve agent training. Real-time alerts ensure negative feedback is resolved before it escalates. 

    CX & Branch Operations 

    Feedback from kiosks, QR codes, and post-visit surveys lets you benchmark branch performance and ensure consistency across locations. 

    Continue reading  

    Financial institutions that treat feedback as structured data, rather than scattered anecdotes, are setting the pace in customer experience. With the right systems in place, customer feedback becomes more than just a scorecard. It becomes a roadmap to smarter products, stronger relationships, and more responsive service. 

    Curious how leading banks and credit unions are making it happen? 

    📘 Download the e-guide: The Financial Services Industry’s Guide to Collecting Customer Feedback 
     
    Explore real-world examples, a checklist for choosing the right CX platform, and proven strategies to help your financial services team turn feedback into action. 

    Other External Resources for Further Reading: 



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  • Entrepreneur+ Subscriber-Only Event | May 28: How This Founder Sold 3 Million Units of His Toy Ball Idea

    Entrepreneur+ Subscriber-Only Event | May 28: How This Founder Sold 3 Million Units of His Toy Ball Idea


    On Wednesday, May 28th at 2 PM ET, the Found of Ollyball, Joe Burke, joins us in our next Entrepreneur+ Subscriber-Only Event!

    In this exclusive event, Joe will reveal how he built his brand without big investors or expensive ads — and walk away with actionable strategies to start your own.

    From saying no to Shark Tank (twice) to selling over 3 million units of a product developed at the kitchen table, Joe Burke’s journey with Ollyball is packed with lessons for entrepreneurs at every stage.

    Key Takeaways:

    • How to generate massive publicity without spending on ads

    • The storytelling patterns that make your brand unforgettable

    • Why saying “no” can be your greatest strategic move

    • The mindset that helped Joe push through doubt and unfair setbacks

    This event is only for Entrepreneur+ subscribers, but you can become a member for just $5! Sign up and unlock all access to Entrepreneur.com, including our premium content and the ability to participate in our Subscribers-Only Event.

    Subscribe Now

    What is a Subscriber-Only Event?

    Subscriber-Only Events are exclusive interviews in which we feature a special guest to help create actionable content for Entrepreneur+ subscribers. We set up events with today’s most prevalent CEOs, entrepreneurs and celebrities — so that we can provide a productive, exclusive experience for our most dedicated readers and entrepreneurs worldwide.

    How to access as a subscriber:

    There are two ways to make sure you don’t miss out on this event. Follow this link for easy setup on your Entrepreneur+ homepage. Or, check your inbox for an email that contains the private link to the event. We will also notify your email as the event goes live to make sure you don’t miss out.

    Having issues signing up for the call? Email us at subscribe@entrepreneur.com.

    About the Speaker:

    Joe Burke invented and holds two Utility Patents for Ollyball®, Winner of a Toy of the Year and seven national and international awards. Burke founded the company for his family in 2019 and Ollyball has grown to the #1 Indoor Play Ball in America. Ollyball has been featured on the National CBS Morning Show, is available at major retail stores across 12 countries, and has made eight live appearances on QVC.

    Burke is the former Brand Director of Disney Stores and VP at Goodwill Industries, but started his first company at the age of 21 on a borrowed card table and metal chair. Hylan Scholarship recipient at the Rochester Institute of Technology, New York, and NCAA athlete. Husband to Ellen Burke, an Autism and Behavioral Specialist, and father of their three children.

    Extra Credit: Coached his kids in five sports, wrote a book in 46 hours on a train, and appeared in 25 films and TV shows in a former life

    Subscribe Now

    On Wednesday, May 28th at 2 PM ET, the Found of Ollyball, Joe Burke, joins us in our next Entrepreneur+ Subscriber-Only Event!

    In this exclusive event, Joe will reveal how he built his brand without big investors or expensive ads — and walk away with actionable strategies to start your own.

    From saying no to Shark Tank (twice) to selling over 3 million units of a product developed at the kitchen table, Joe Burke’s journey with Ollyball is packed with lessons for entrepreneurs at every stage.

    Key Takeaways:

    The rest of this article is locked.

    Join Entrepreneur+ today for access.



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  • How Androidify leverages Gemini, Firebase and ML Kit



    Posted by Thomas Ezan – Developer Relations Engineer, Rebecca Franks – Developer Relations Engineer, and Avneet Singh – Product Manager

    We’re bringing back Androidify later this year, this time powered by Google AI, so you can customize your very own Android bot and share your creativity with the world. Today, we’re releasing a new open source demo app for Androidify as a great example of how Google is using its Gemini AI models to enhance app experiences.

    In this post, we’ll dive into how the Androidify app uses Gemini models and Imagen via the Firebase AI Logic SDK, and we’ll provide some insights learned along the way to help you incorporate Gemini and AI into your own projects. Read more about the Androidify demo app.

    App flow

    The overall app functions as follows, with various parts of it using Gemini and Firebase along the way:

    flow chart demonstrating Androidify app flow

    Gemini and image validation

    To get started with Androidify, take a photo or choose an image on your device. The app needs to make sure that the image you upload is suitable for creating an avatar.

    Gemini 2.5 Flash via Firebase helps with this by verifying that the image contains a person, that the person is in focus, and assessing image safety, including whether the image contains abusive content.

    val jsonSchema = Schema.obj(
       properties = mapOf("success" to Schema.boolean(), "error" to Schema.string()),
       optionalProperties = listOf("error"),
       )
       
    val generativeModel = Firebase.ai(backend = GenerativeBackend.googleAI())
       .generativeModel(
                modelName = "gemini-2.5-flash-preview-04-17",
       	     generationConfig = generationConfig {
                    responseMimeType = "application/json"
                    responseSchema = jsonSchema
                },
                safetySettings = listOf(
                    SafetySetting(HarmCategory.HARASSMENT, HarmBlockThreshold.LOW_AND_ABOVE),
                    SafetySetting(HarmCategory.HATE_SPEECH, HarmBlockThreshold.LOW_AND_ABOVE),
                    SafetySetting(HarmCategory.SEXUALLY_EXPLICIT, HarmBlockThreshold.LOW_AND_ABOVE),
                    SafetySetting(HarmCategory.DANGEROUS_CONTENT, HarmBlockThreshold.LOW_AND_ABOVE),
                    SafetySetting(HarmCategory.CIVIC_INTEGRITY, HarmBlockThreshold.LOW_AND_ABOVE),
        	),
        )
    
     val response = generativeModel.generateContent(
                content {
                    text("You are to analyze the provided image and determine if it is acceptable and appropriate based on specific criteria.... (more details see the full sample)")
                    image(image)
                },
            )
    
    val jsonResponse = Json.parseToJsonElement(response.text)
    val isSuccess = jsonResponse.jsonObject["success"]?.jsonPrimitive?.booleanOrNull == true
    val error = jsonResponse.jsonObject["error"]?.jsonPrimitive?.content
    

    In the snippet above, we’re leveraging structured output capabilities of the model by defining the schema of the response. We’re passing a Schema object via the responseSchema param in the generationConfig.

    We want to validate that the image has enough information to generate a nice Android avatar. So we ask the model to return a json object with success = true/false and an optional error message explaining why the image doesn’t have enough information.

    Structured output is a powerful feature enabling a smoother integration of LLMs to your app by controlling the format of their output, similar to an API response.

    Image captioning with Gemini Flash

    Once it’s established that the image contains sufficient information to generate an Android avatar, it is captioned using Gemini 2.5 Flash with structured output.

    val jsonSchema = Schema.obj(
                properties = mapOf(
                    "success" to Schema.boolean(),
                    "user_description" to Schema.string(),
                ),
                optionalProperties = listOf("user_description"),
            )
    val generativeModel = createGenerativeTextModel(jsonSchema)
    
    val prompt = "You are to create a VERY detailed description of the main person in the given image. This description will be translated into a prompt for a generative image model..."
    
    val response = generativeModel.generateContent(
    content { 
           	text(prompt) 
                 	image(image) 
    	})
            
    val jsonResponse = Json.parseToJsonElement(response.text!!) 
    val isSuccess = jsonResponse.jsonObject["success"]?.jsonPrimitive?.booleanOrNull == true
    
    val userDescription = jsonResponse.jsonObject["user_description"]?.jsonPrimitive?.content
    

    The other option in the app is to start with a text prompt. You can enter in details about your accessories, hairstyle, and clothing, and let Imagen be a bit more creative.

    Android generation via Imagen

    We’ll use this detailed description of your image to enrich the prompt used for image generation. We’ll add extra details around what we would like to generate and include the bot color selection as part of this too, including the skin tone selected by the user.

    val imagenPrompt = "A 3D rendered cartoonish Android mascot in a photorealistic style, the pose is relaxed and straightforward, facing directly forward [...] The bot looks as follows $userDescription [...]"
    

    We then call the Imagen model to create the bot. Using this new prompt, we create a model and call generateImages:

    // we supply our own fine-tuned model here but you can use "imagen-3.0-generate-002" 
    val generativeModel = Firebase.ai(backend = GenerativeBackend.googleAI()).imagenModel(
                "imagen-3.0-generate-002",
                safetySettings =
                ImagenSafetySettings(
                    ImagenSafetyFilterLevel.BLOCK_LOW_AND_ABOVE,
                    personFilterLevel = ImagenPersonFilterLevel.ALLOW_ALL,
                ),
    )
    
    val response = generativeModel.generateImages(imagenPrompt)
    
    val image = response.images.first().asBitmap()
    

    And that’s it! The Imagen model generates a bitmap that we can display on the user’s screen.

    Finetuning the Imagen model

    The Imagen 3 model was finetuned using Low-Rank Adaptation (LoRA). LoRA is a fine-tuning technique designed to reduce the computational burden of training large models. Instead of updating the entire model, LoRA adds smaller, trainable “adapters” that make small changes to the model’s performance. We ran a fine tuning pipeline on the Imagen 3 model generally available with Android bot assets of different color combinations and different assets for enhanced cuteness and fun. We generated text captions for the training images and the image-text pairs were used to finetune the model effectively.

    The current sample app uses a standard Imagen model, so the results may look a bit different from the visuals in this post. However, the app using the fine-tuned model and a custom version of Firebase AI Logic SDK was demoed at Google I/O. This app will be released later this year and we are also planning on adding support for fine-tuned models to Firebase AI Logic SDK later in the year.

    moving image of Androidify app demo turning a selfie image of a bearded man wearing a black tshirt and sunglasses, with a blue back pack into a green 3D bearded droid wearing a black tshirt and sunglasses with a blue backpack

    The original image… and Androidifi-ed image

    ML Kit

    The app also uses the ML Kit Pose Detection SDK to detect a person in the camera view, which triggers the capture button and adds visual indicators.

    To do this, we add the SDK to the app, and use PoseDetection.getClient(). Then, using the poseDetector, we look at the detectedLandmarks that are in the streaming image coming from the Camera, and we set the _uiState.detectedPose to true if a nose and shoulders are visible:

    private suspend fun runPoseDetection() {
        PoseDetection.getClient(
            PoseDetectorOptions.Builder()
                .setDetectorMode(PoseDetectorOptions.STREAM_MODE)
                .build(),
        ).use { poseDetector ->
            // Since image analysis is processed by ML Kit asynchronously in its own thread pool,
            // we can run this directly from the calling coroutine scope instead of pushing this
            // work to a background dispatcher.
            cameraImageAnalysisUseCase.analyze { imageProxy ->
                imageProxy.image?.let { image ->
                    val poseDetected = poseDetector.detectPersonInFrame(image, imageProxy.imageInfo)
                    _uiState.update { it.copy(detectedPose = poseDetected) }
                }
            }
        }
    }
    
    private suspend fun PoseDetector.detectPersonInFrame(
        image: Image,
        imageInfo: ImageInfo,
    ): Boolean {
        val results = process(InputImage.fromMediaImage(image, imageInfo.rotationDegrees)).await()
        val landmarkResults = results.allPoseLandmarks
        val detectedLandmarks = mutableListOf<Int>()
        for (landmark in landmarkResults) {
            if (landmark.inFrameLikelihood > 0.7) {
                detectedLandmarks.add(landmark.landmarkType)
            }
        }
    
        return detectedLandmarks.containsAll(
            listOf(PoseLandmark.NOSE, PoseLandmark.LEFT_SHOULDER, PoseLandmark.RIGHT_SHOULDER),
        )
    }
    

    moving image showing the camera shutter button activating when an orange droid figurine is held in the camera frame

    The camera shutter button is activated when a person (or a bot!) enters the frame.

    Get started with AI on Android

    The Androidify app makes an extensive use of the Gemini 2.5 Flash to validate the image and generate a detailed description used to generate the image. It also leverages the specifically fine-tuned Imagen 3 model to generate images of Android bots. Gemini and Imagen models are easily integrated into the app via the Firebase AI Logic SDK. In addition, ML Kit Pose Detection SDK controls the capture button, enabling it only when a person is present in front of the camera.

    To get started with AI on Android, go to the Gemini and Imagen documentation for Android.

    Explore this announcement and all Google I/O 2025 updates on io.google starting May 22.



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  • How AI Can Help You Cut Through Tariff Chaos — in Just 3 Simple Steps

    How AI Can Help You Cut Through Tariff Chaos — in Just 3 Simple Steps


    Opinions expressed by Entrepreneur contributors are their own.

    Since President Trump first announced new tariffs on U.S. trading partners in April, with frequent revisions ever since, American businesses of all sizes have been caught in a whirlwind of uncertainty. For entrepreneurs relying on foreign suppliers, sudden spikes in raw material costs can force a frantic reevaluation of longterm strategies and pricing models. These constantly shifting tariffs have upended months, even years, of planning across operations, production, supply chains, and competitive positioning, leaving many entrepreneurs stuck in near paralysis.

    Most imported products face a baseline duty of at least 10%, but that number is subject to change with little warning. Trump announced much larger reciprocal tariffs on dozens of countries in April before instituting a 90-day pause. Trump also raised tariffs on China to 145% before lowering them back to 30% for most Chinese goods for at least 90 days starting in May. To handle the tariff whiplash and survive in today’s volatile political and economic climate, you need to navigate constant uncertainty and adjust to frequent disruptions. If you’re not able to pivot quickly as changes arise, you may have to pass rising costs onto consumers, putting your business at risk of losing them entirely.

    Related: Walmart Is Raising Prices, According to the Company’s CEO. Here’s When.

    To stay ahead of these constant changes, business owners need to regularly explore a range of “what-if” scenarios. For example, if tariffs rise on a key supplier, how quickly should I adjust prices? Or, what are my options for switching to a supplier in a country with lower tariffs? With so many moving parts, AI can make this easier. Tools like ChatGPT make it simple to start using AI for financial modeling and supply chain analysis —helping you stay agile while navigating unpredictable tariffs.

    How small businesses can use AI for smarter scenario planning and future-proof decisions

    Earlier in my career, I helped large oil companies and financial institutions optimize their supply chains for better efficiency and lower costs. Traditionally, creating these models required complicated Excel spreadsheets and some proficiency in mathematics. Not only has AI made the modeling process more accessible, even for non-technical business owners, but it has also provided business owners with an essential tool for scenario planning that is adaptable in real time.

    Tariffs are fundamentally unpredictable, especially today, so AI can’t predict what tariffs will be tomorrow, next week or next month. It can, however, help your business prepare for the unknown and make smarter decisions faster by running dozens of those “what-if” scenarios in seconds. That’s why it’s best to understand and use AI as an optimization model instead of a one-time solution.

    Here’s how the optimization model works and how you can use it to build a pricing and procurement strategy that will help your business stay on top of 2025 tariffs:

    Step 1: Provide your AI tool with data

    Start by entering the key details into your AI tool—some of which your Large Language Model (LLM) may already know. An LLM is a type of AI that understands and creates human-like text by learning from vast amounts of writing.

    Include information like:

    • Current and projected tariff rates
    • Domestic and international costs of goods
    • Inventory holding periods
    • Revenue per unit

    This data is likely already available in your balance sheet, which you can quickly upload to your AI tool like ChatGPT or source through simple research. The AI’s goal is to optimize for a combination of these variables that yields the highest profitability at the lowest cost at any given point.

    Related: What Is a Tariff? Here’s an Overview of the Basics.

    Step 2: Use AI to model supply chain alternatives

    AI can scan trade databases and tariff announcements in real time, constantly updating teams in need. As tariffs fluctuate and updates are tracked, your optimization model will shift and evolve.

    For example, if tariffs rise and the cost of overseas products increases, you may look to purchase goods domestically and ask your AI system to recommend sourcing alternatives. AI can even compare the benefits, drawbacks and long-term implications of sourcing from various countries.

    While AI can’t provide specific pricing or shipping estimates, it drastically reduces the time it takes to evaluate new options. Once you find the rest of the information you need, by researching online or calling the suggested companies directly, feed it into your model to update your strategy in real-time.

    Step 3: Use AI to explore multiple scenarios and identify the best path forward

    Beyond just helping with sourcing decisions, AI can also recommend how much you can raise your prices to stay profitable without driving customers away. For example, your business might absorb a 5% to 10% tariff increase through modest price hikes, but a 15% increase could start to push customers away. AI can simulate different pricing strategies to help you find the perfect balance for your unique situation.

    Ask your AI tool questions such as:

    • How much would I lose if tariffs remain between 10% and 15% over the next 60 days?
    • When does buying from international suppliers become economically unviable?
    • How much would I need to raise prices if tariffs increase to 20%?
    • What’s the best price increase to keep my revenue steady while covering costs?

    AI can help pinpoint various thresholds and calculate your options. These actionable insights can be life-saving for businesses lacking the time, energy and resources for trial and error.

    Think of AI as a personal financial analyst that works around the clock and costs a fraction of a human hire. Regardless of your business, integrating AI into your operational toolkit and interacting with it daily can help you prepare for an unpredictable market.

    While the future of tariffs remains uncertain, their impact is very real today. Instead of freezing up from uncertainty or making hasty decisions, AI empowers business owners to stay proactive and ready for whatever comes next.

    Since President Trump first announced new tariffs on U.S. trading partners in April, with frequent revisions ever since, American businesses of all sizes have been caught in a whirlwind of uncertainty. For entrepreneurs relying on foreign suppliers, sudden spikes in raw material costs can force a frantic reevaluation of longterm strategies and pricing models. These constantly shifting tariffs have upended months, even years, of planning across operations, production, supply chains, and competitive positioning, leaving many entrepreneurs stuck in near paralysis.

    Most imported products face a baseline duty of at least 10%, but that number is subject to change with little warning. Trump announced much larger reciprocal tariffs on dozens of countries in April before instituting a 90-day pause. Trump also raised tariffs on China to 145% before lowering them back to 30% for most Chinese goods for at least 90 days starting in May. To handle the tariff whiplash and survive in today’s volatile political and economic climate, you need to navigate constant uncertainty and adjust to frequent disruptions. If you’re not able to pivot quickly as changes arise, you may have to pass rising costs onto consumers, putting your business at risk of losing them entirely.

    Related: Walmart Is Raising Prices, According to the Company’s CEO. Here’s When.

    The rest of this article is locked.

    Join Entrepreneur+ today for access.



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  • How to Travel Without a Phone



    Leaving your device at home might seem daunting, but it can result in a deeper connection to a place and more authentic interactions with locals.



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  • How I Scaled from Side Hustle to 7 Figures Using 4 AI Tools (No Tech Skills Needed)

    How I Scaled from Side Hustle to 7 Figures Using 4 AI Tools (No Tech Skills Needed)


    Opinions expressed by Entrepreneur contributors are their own.

    If you’re only using AI to pump out blog posts or social media content, you’re thinking too small. The real game-changers? They’re building businesses that run on autopilot — using next-gen AI agents to automate sales, operations and marketing around the clock, with zero employees.

    In this video, I’ll break down the four AI agents that can turn a simple side hustle into a 7-figure business.

    • Revenue-generating agent: Replace entire sales teams with AI that qualifies leads, books calls and handles follow-ups — it’s like having a top-tier sales rep that never takes a day off.
    • Executive assistant agent: Say goodbye to calendar chaos and inbox overwhelm. Use AI to handle scheduling, inbox management, travel planning and data entry — freeing up hours each week.
    • Workflow and SOP agent: Automate your SOPs and streamline onboarding with screen-recording AI that turns your processes into step-by-step guides — no more micromanaging.
    • Pulse agent for marketing: Analyze sales data, audit content and predict campaign performance before you hit launch — this is the tool that tripled my sales in just 14 days.

    Whether you’re a solopreneur or scaling a lean team, these four agents can cut overhead, boost productivity, and give you a serious edge – without the headaches of hiring and managing people. Hit play to see how it’s done.
    Download the free “AI Success Kit” (limited time only). And you’ll also get a free chapter from my brand new book, “The Wolf is at The Door – How to Survive and Thrive in an AI-Driven World.”

    If you’re only using AI to pump out blog posts or social media content, you’re thinking too small. The real game-changers? They’re building businesses that run on autopilot — using next-gen AI agents to automate sales, operations and marketing around the clock, with zero employees.

    In this video, I’ll break down the four AI agents that can turn a simple side hustle into a 7-figure business.

    • Revenue-generating agent: Replace entire sales teams with AI that qualifies leads, books calls and handles follow-ups — it’s like having a top-tier sales rep that never takes a day off.
    • Executive assistant agent: Say goodbye to calendar chaos and inbox overwhelm. Use AI to handle scheduling, inbox management, travel planning and data entry — freeing up hours each week.
    • Workflow and SOP agent: Automate your SOPs and streamline onboarding with screen-recording AI that turns your processes into step-by-step guides — no more micromanaging.
    • Pulse agent for marketing: Analyze sales data, audit content and predict campaign performance before you hit launch — this is the tool that tripled my sales in just 14 days.

    The rest of this article is locked.

    Join Entrepreneur+ today for access.



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  • How My Lovely Planet is making environmental preservation fun through games



    Posted by Robbie McLachlan – Developer Marketing

    In our latest #WeArePlay film, which celebrates the people behind apps and games on Google Play, we meet Clément, the founder of Imagine Games. His game, My Lovely Planet, turns casual mobile gaming into tangible environmental action, planting real trees and supporting reforestation projects worldwide. Discover the inspiration behind My Lovely Planet and the impact it’s had so far.

    https://www.youtube.com/watch?v=TrgDdhvzwt4

    What inspired you to combine gaming with positive environmental impact?

    I’ve always loved gaming and believed in technology’s potential to tackle environmental challenges. But it was my time working with an NGO in Madagascar, where I witnessed firsthand the devastating effects of environmental changes that truly sparked my mission. Combining gaming and sustainability just made sense. Billions of people play games, so why not harness that entertainment to create real-world impact? So far, the results speak for themselves: we’ve built an engaged global community committed to protecting the environment.

    Imagine Games team, Clément, from France

    How do players in My Lovely Planet make real-world differences through the game?

    With My Lovely Planet, planting a tree in the game means planting a real tree in the world. Our community has already planted over 360,000 trees through partnerships with NGOs like Graines de Vie in Madagascar, Kenya, and France. We’ve also supported ocean-cleaning, bee-protection, and drone reforestation projects.

    Balancing fun with impact was key. Players wouldn’t stay just for the mission, so we focused on creating a genuinely fun match-3 style game. Once gameplay was strong, we made real-world actions like tree planting core rewards in the game, helping players feel naturally connected to their impact. Our goal is to keep growing this model to protect biodiversity and fight climate change.

    Can you tell us about your drone-led reforestation project in France?

    Our latest initiative involves using drones to reforest areas severely impacted by insect infestations and other environmental issues. We’re dropping over one million specially-coated seeds by drone, which is a completely new and efficient way of reforesting large areas. It’s exciting because if this pilot succeeds, it could be replicated worldwide, significantly boosting global reforestation efforts.

    a drone in mid air dropping seeds in a forested area

    How has Google Play helped your journey?

    Google Play has been crucial for My Lovely Planet – it’s our main distribution channel, with about 70% of our players coming through the platform. It makes it incredibly easy and convenient for anyone to download and start playing immediately. which is essential for engaging a global community. Plus, from a developer’s standpoint, the flexibility, responsiveness, and powerful testing tools Google Play provides have made launching and scaling our game faster and smoother, allowing us to focus even more on our environmental impact.

    a close up of a user playing the My Lovely Planet game on their mobile device while sitting in the front seat of a vehicle

    What is next for My Lovely Planet?

    Right now, we’re focused on expanding the game experience by adding more engaging levels, and introducing exciting new features like integrating our eco-friendly cryptocurrency, My Lovely Coin, into gameplay. Following the success of our first drone-led reforestation project in France, our next step is tracking its impact and expanding this approach to other regions. Ultimately, we aim to build the world’s largest gaming community dedicated to protecting the environment, empowering millions to make a difference while enjoying the game.

    Discover other inspiring app and game founders featured in #WeArePlay.



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  • How Apple Created a Legal Mess When It Skirted Judge’s Ruling

    How Apple Created a Legal Mess When It Skirted Judge’s Ruling


    Several weeks after a federal appeals court said Apple would have to loosen its grip on its App Store, Tim Cook, the company’s chief executive, and his top lieutenants debated what to do.

    For more than a decade, Apple had required apps to use the App Store payment system and collected a commission of up to 30 percent on app sales. Now, in 2023, the courts were ordering it to allow apps to avoid Apple’s payments and go directly to online consumers. Mr. Cook wanted to know: Could Apple still charge a commission on those sales without violating a court order?

    Phil Schiller, who oversaw the App Store, worried that new fees could be illegal. He favored making online sales free of an Apple commission. Luca Maestri, who oversaw the company’s finances, disagreed. He favored charging a commission of 27 percent for online sales because it would protect the company’s business.

    Mr. Cook sided with Mr. Maestri, and Apple set out to justify that choice. It “manufactured” an independent economic study to legitimize its decision, a federal judge said in an angry ruling last week. It withheld thousands of documents under attorney-client privilege claims. And at least one of its executives lied on the witness stand.

    The judge’s ruling, as well as witness testimony this year and company documents released on Thursday, shows the extraordinary measures that Apple took to keep every penny it collected in the App Store. The decision by Judge Yvonne Gonzalez Rogers, who heard the initial lawsuit brought by the video game company Epic Games in 2020, could cast a shadow over Apple’s business for years, weakening its credibility as legal scrutiny of its operations intensifies.

    The company is also trying to fend off a half dozen other legal challenges, including a Justice Department antitrust lawsuit accusing it of maintaining an iPhone monopoly, class action lawsuits from app developers in the United States and anticompetitive investigations of its App Store by the European Union, Britain, Spain and potentially China.

    “If you burn your credibility with the courts, the next judge is going to be a lot less willing to forgive,” said Mark A. Lemley, a Stanford University professor of antitrust and technology law. In future cases for Apple, he said, “it’s going to be easier for a judge to jump to the conclusion that people are lying.”

    Google has shown that a company’s actions can cast a shadow over high-stakes legal proceedings. Last month, in an antitrust case over its advertising technology, a judge said the company’s efforts to conceal its communications had raised questions about whether it would follow the court’s remedies for its behavior.

    Apple is appealing Judge Gonzalez Rogers’s ruling, which held the company in civil contempt. In requesting a delay of the court’s order to loosen its grip on the App Store, Apple said on Wednesday that it would show the contempt finding was “unwarranted.” The company declined to comment further for this article.

    Epic, the developer of Fortnite, sued Apple in 2020, accusing it of violating antitrust laws by forcing developers to use its App Store payment system. Judge Gonzalez Rogers ruled largely in favor of Apple, finding it wasn’t a monopoly, as Epic had argued. But she said Apple had violated California competition law and ordered the company to allow apps to include links and buttons to buy software and services outside the App Store.

    Apple created a task force, code-named Project Wisconsin, to respond to the order. It considered two different solutions. The first would allow apps to include links for online purchases in restricted locations, free of a commission. The second would allow apps to offer those links where they wished but force them to pay a 27 percent commission on sales.

    With links and no commission, Apple estimated it could lose hundreds of millions of dollars, even more than $1 billion. With a 27 percent commission, it would lose almost nothing.

    Mr. Cook met with the team in June 2023. He reviewed a range of commission options, from 20 to 27 percent. He also evaluated analysis showing that few developers would leave Apple’s payment system for their own if there was a 27 percent commission, court records show. Eventually, he chose that rate while also approving a plan to restrict where apps put links for online purchases.

    Afterward, Apple hired an economic consultant, Analysis Group, to write a report that Apple could use to justify its fees. The report concluded that Apple’s developer tools and distribution services were worth more than 30 percent of an app’s revenue.

    Apple also created screens to discourage online purchases by making them seem scary and “dangerous,” court documents show. Mr. Cook weighed in, asking the team to revise a warning to emphasize Apple’s privacy and security. Rather than “You will no longer be transacting with Apple,” the company said: “Apple is not responsible for the privacy or security of purchases made on the web.”

    When Apple revealed its 27 percent commission in January 2024, Epic filed a claim in court that Apple wasn’t complying with the judge’s order. Judge Gonzalez Rogers brought Apple and Epic back to court. Alex Roman, a vice president of finance, testified that Apple had made its final decision on its commission on Jan. 16, 2024. Executives also testified that the Analysis Group report had helped them set the commission rate.

    Judge Gonzalez Rogers questioned whether Apple was telling the truth and asked the company to provide documents about its plans. It produced 89,000 documents but claimed a third of them were confidential. The court said those claims were “unsubstantiated” and forced Apple to turn over more than half of the documents.

    The documents made clear that Mr. Roman had lied under oath, that the Analysis Group report was a “sham” and that Apple had “willfully” disregarded a court order, Judge Gonzalez Rogers said. She called it a “cover-up.”

    Her ruling will give prosecutors, regulators and judges ammunition against Apple’s defense strategies in a half dozen similar cases around the world, several antitrust and tech law professors and lawyers said.

    When the company tries to redact or withhold documents, prosecutors and judges can point to how those strategies were found to be “tactics to delay the proceedings” in the Epic Games case, these experts said. When Apple executives testify, prosecutors and judges could question their credibility because the company was found to “hide the truth” and “outright lie.”

    In the Justice Department’s antitrust case and others against Apple, said Colin Kass, an antitrust lawyer at Proskauer Rose, courts and regulators seeking Apple documents “will start the process by saying, ‘Open your doors, and don’t you dare try those silly little games you used in the past.’”

    The company will face more skepticism about defenses, as well, in the Justice Department’s lawsuit, said Rebecca Haw Allensworth, a law professor at Vanderbilt University who studies antitrust. In the past, Apple has said it shows green bubbles for an Android owner’s messages because communicating across smartphone systems is less secure. But she said those claims might be considered less credible after the Epic ruling.

    Ms. Allensworth said the judge’s opinion also could stiffen the resolve of the European Union, Britain, Spain and others pressing Apple to change its App Store practices because regulators and courts often find safety in numbers.

    “Apple has been acting like they’re above the law,” she said. “This sends a signal Apple is not.”



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  • How iPhone Apps Are Changing After a Recent App Store Ruling

    How iPhone Apps Are Changing After a Recent App Store Ruling


    In recent days, iPhone apps have been changing. The Kindle app now lets people buy books directly from its site. Spotify is offering users free trials. And Patreon, a subscription service, is letting people pay creators more money.

    The changes are an early look at how a recent court ruling could transform the shopping experience on an iPhone. Last week, a federal judge ordered Apple to start allowing apps to offer promotions and collect payments directly from users. The decision makes it possible for apps to offer people new conveniences, like buying books directly from their website. The ruling also lets apps bypass a 30 percent commission that Apple collects on every app sale, which could lead to lower prices for consumers.

    For more than a decade, Apple required that apps use its payment system for purchases and collected commission on the sales.

    Now, all of that is open to change. Here’s what could be different in the future and why.

    Judge Yvonne Gonzalez Rogers, who began working on this case after Epic Games sued Apple in 2020, ruled that Apple could no longer take commissions from sales that link out from the app. She also restricted the company from writing rules that would prevent developers from creating buttons or links allowing people to pay apps directly for their goods and services, and said it could not create messages — known as warning screens — that discourage users from leaving the App Store.

    Amazon asked to update its Kindle app to allow people to buy books.Credit…Kindle

    For years, Kindle has not sold books on its app to avoid Apple’s 30 percent commission. Now, it has added a “Get Book” button that directs users to its website to buy books. Similarly, Apple prevented Spotify from offering free trials to new customers, but now Spotify has a button on its app for a three-month trial.

    Other apps could begin offering links for buying directly from stores online, which would allow the business to avoid having to pay Apple’s 30 percent commission. Without having to pay those fees, apps could offer users lower prices, reducing a $10 monthly subscription to $7.

    Apple makes $11 billion a year from app sales in the United States, according to estimates by Morgan Stanley. It won’t lose all of that, but the bank estimates that $2 billion of that is now at risk.

    How much Apple loses will come down to how willing people are to change their behavior. The decade-old process for buying software and services on apps is not only familiar but also quick. People trust Apple with their credit card information. And the company makes it easy for people to cancel their subscriptions — keeping them all in one place. Many people may be reluctant to leave the App Store to make their purchases, and apps may prefer to maintain the current system.

    Now that Apple is required to allow apps to collect payment directly, without paying the company a commission, in the United States, other countries are going to press for similar concessions. Regulators in Europe, Japan and South Korea, which have been asking Apple to loosen its grip on the App Store, would not want their own citizens or developers to have to pay more than Americans did.

    Apple said it planned to appeal the ruling, but it would be challenging for the company to have the decision overturned. In 2021, the judge wrote a less prescriptive ruling. Apple skirted the rule by introducing a 27 percent commission for app sales. The U.S. Court of Appeals for the Ninth Circuit sided with the judge’s initial ruling from 2021 and is unlikely to change its position, said Mark A. Lemley, a professor of antitrust and technology law at Stanford. “They should take their licks and let it be,” he said.



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  • How I Built a 7-Figure Business With This Simple Strategy

    How I Built a 7-Figure Business With This Simple Strategy


    Opinions expressed by Entrepreneur contributors are their own.

    One of the biggest mistakes entrepreneurs make is thinking they need to do everything themselves, or, even worse, thinking that hiring one “rockstar” full-time employee will solve every problem in their business (and if they do find this diamond in the rough, which is highly unlikely, they’re usually not in a position to hire and manage that person effectively). In my experience, I’ve found that success comes from not how you do it but who helps you do it, and a team of experts is the most effective way to get there.

    Today’s small business owners and solopreneurs are under more pressure than ever. The market is rapidly shifting, consumers are cautious about spending, and there’s a constant demand to stay visible and relevant in an increasingly crowded market. Entrepreneurs are expected to wear every hat, from visionary to strategist and social media manager, and still find time to grow their business. It’s insanity, isn’t it?

    After starting my business, I quickly realized that the most effective way for it to be successful was to bring on outside help. Through strategic outsourcing, I was able to grow my first business, the Boutique COO, to seven figures in under eight months.

    So, how do you know when it’s time to bring in outside help or where to even start? Here are four main steps to guide you.

    Related: How to Outsource Your Way to a $10-Million Business

    1. Stop trying to find your unicorn

    When most business owners realize they need help, their first instinct is to look for one full-time hire who can help manage ops, run their marketing campaigns, handle admin tasks and maybe even update the website and post on social media.

    That, my friends, is what we call a unicorn. They just don’t exist. And if they do, they’re either incredibly expensive or burned out from being pulled in a thousand directions. Plus, as a busy business owner who may not be comfortable with effective performance management or trained in it, you might not be able to best leverage your unicorn even if you found them.

    Early on in my business, I tried to find someone who could take a lot of things off my plate. I thought that if I could just find the right person, I’d be set. But in reality, no single human (including you) will be amazing at everything your business needs, and expecting them to be amazing is unfair.

    The better and smarter approach is to build a dream team of specialists who each do what they’re great at. Hire a bookkeeper who has a penchant for numbers. Bring on a virtual assistant who gets giddy about organization. Add a marketing specialist who loves to write. When everyone is working in their zone of genius and gets in their flow state, the quality of work skyrockets. The natural result is authentic and much more sustainable business growth.

    It’s also more cost-effective and less risky. Instead of paying a full-time salary plus benefits for one person, you can outsource even just a few ad hoc hours at a time for highly skilled support in each important area of your business. This way, you aren’t betting your business on a single person — and you get better results, spend less money and free up your own time. It’s a win-win.

    2. Identify the workload, not the title

    Before you start outsourcing, you need to stop thinking in terms of job titles. You don’t need a COO or a marketing manager (not yet, at least). What you do need is clarity on what tasks are taking up most of your time.

    Related: What You Need to Know Before Hiring Independent Contractors

    When I talk to clients whose businesses are taking off, I do a quick audit. I look at where they spend the most time and what drains their energy. If something is time-consuming and doesn’t provide much impact, that is a big red flag that the task either needs to be discontinued entirely or outsourced. Think in terms of categories that don’t necessarily contribute to revenue growth, like admin, onboarding new clients, invoicing and bookkeeping or the ever-dreaded payroll.

    Here’s a general rule: If your plate is full and you’re spending more than three to five hours a week on something that doesn’t require your specific expertise, outsource it.

    Related: Your Time is Money, Start Saving It By Outsourcing

    3. Decide what to outsource first

    Think about the tasks that don’t directly generate revenue or that someone else could do better and faster than you can.

    For most entrepreneurs, this includes tasks like

    • Scheduling and calendar management

    • Invoicing and payments

    • Emailing newsletters and planning social media

    • Doing basic admin, such as organizing files and documents

    When I first started outsourcing, I handed off two things that took a big chunk of my time but didn’t actually need my time: scheduling and inbox management. It was a small change, but the impact was massive. Not only did I gain back time during the week, but I also felt mentally clear enough to focus on strategies to grow my business.

    4. Set your contractors up for success

    Hiring help is just the first step. Being a good leader is what makes a huge difference.

    My non-negotiables: Be specific about expectations, and make your onboarding process crystal clear. Give your contractors access to the shared tools you use so they have everything they need to get started. At the Boutique COO and our new sister company, Brick by Brick Collective, we’re big fans of Notion and Paymo, and we basically live in Slack.

    Set up regular check-ins, especially during onboarding. Plan time to train contractors and give them feedback early on. Set clear goals and expectations. Your best hire will still feel ineffective if you aren’t investing in getting them ramped up.

    Be prepared to accept that things will be done 80% to 90% of the way you’d do it. If you expect someone to do something exactly how you’d do it, you are not weighing the benefit of outsourcing with the small cost of things not being exactly “perfect.” Remember, if you hire someone to clean your house or mow your lawn, you wouldn’t be complaining if they folded your clothes slightly differently than you do or if they did yardwork in a slightly different order.

    These tips have been instrumental in my growing a seven-figure business in under eight months, starting two new businesses and bringing on almost 150 team members without sacrificing my sanity.

    Related: What Not to Do When Outsourcing

    Do more with less, and build bigger than you’d thought possible

    Ultimately, it’s about asking a better question:

    Not “How can I get this done?” but “Who can help me get it done?” and “Who do I need to be to enable those people best?”

    If you’re truly ready to grow, pick one task you’re doing regularly that doesn’t require you to do it, and find someone to take it off your plate this week. You’ll be surprised at how much that tiny shift opens up everything else for you.

    Outsourcing is a strategy that, when done with intention, can be one of the most powerful ways to do more for your business and keep your clients (and you!) happy.



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