AI App Development: How To Do It?

Artificial Intelligence (AI) may not be brand new, but it’s far from outdated—it’s evolving and dominating app development in 2025. According to recent tech reports, over 82% of custom software development companies are integrating AI to improve user experience, automate workflows, and power intelligent systems. And this number is expected to rise with growing AI adoption across industries like healthcare, finance, e-commerce, and education.

So, how do you build a successful AI-based app? If you’re just stepping into this arena, your best move is to partner with a reliable custom software development company. Developing an AI app from scratch involves multiple layers of expertise—machine learning, NLP, deep learning, computer vision, and beyond.

Let’s walk through a practical roadmap to get started with AI development.

Step 1: Determine your timeline and Budget.

Begin with realistic planning. Define your app’s purpose, core features, target audience, and launch goals. This will help you estimate the required timeline and allocate a smart budget.

Keep in mind: AI app development usually costs 20–40% more than a regular app due to its complexity and infrastructure needs (e.g., GPUs, cloud computing, big data processing).

Use Agile prioritization methods like MoSCoW (Must-have, Should-have, Could-have, Won’t-have) to align features with your budget.

Budget Tip (2025): Cloud-based AI services like AWS SageMaker, Google Vertex AI, and Azure AI offer scalable, cost-effective infrastructure that can reduce overall development costs for startups.

Step 2: Choose The Right Custom Software Development Firm

The very bold reason for saying that is they have the expertise as well as experience. They have a team of experienced and skilled professional developers, designers, and project managers who can deliver a high-quality product within a given Budget and time. You can follow the following steps to choose the right custom software development company.

• A professional custom software development firm brings experience, talent, and structure to your project. Here’s how to choose wisely in 2025:

  • Research portfolios and industry recognition via Clutch, GoodFirms, or TechBehemoths.

  • Ask about their AI experience: Have they worked with LLMs, generative AI, chatbots, or predictive analytics?

  • Evaluate their tech stack—frameworks like TensorFlow, Keras, OpenCV, and PyTorch are essential.

  • Ensure they offer strong data privacy compliance (e.g., GDPR, HIPAA, CCPA).

  • Assess their communication style, Agile workflows, and client satisfaction.

  Always request detailed proposals and get everything documented in a formal contract to prevent scope creep or delays.

Step 3: Get Started with App Design & Features

After finalizing your development partner, you’ll begin shaping the app with detailed planning and execution. Choose a development methodology—Agile, Scrum, or Lean—based on your timeline.

If your budget is limited or you’re validating an MVP, launch a beta version with core AI features, then iterate based on user feedback.

2025’s Top Tech Stacks for AI Mobile App Development:

• Android: Kotlin, Java + TensorFlow Lite

• iOS: Swift, Objective-C + Core ML

• Cross-Platform: React Native, Flutter + ONNX Runtime

• AI Frameworks: Hugging Face Transformers, OpenAI API, Google’s BERT, XGBoost

Ensure the app is designed for usability with clean UI/UX and accessibility in mind. AI should enhance user journeys, not complicate them.

Step 4: Check On Each Sprint

Stay involved in each development sprint. These short cycles are crucial checkpoints where you can track the app’s progress and validate AI outputs.

During sprint reviews, discuss:

• Which AI models are being implemented (e.g., GPT-4-turbo, YOLOv7)?

• How is the procedure of AI app development going on?

• How well is the model training or performing on your datasets?

• What are early feedback insights from testers?

• Are features functioning as expected?

• Any risk of AI bias, hallucinations, or ethical concerns?

Pro Tip: Ask your development firm to include AI performance metrics in sprint summaries, such as accuracy, latency, and user satisfaction.

Step 5: Launch The App and Keep Upgrading

Once your app is live with essential AI features, post-launch maintenance and iteration become the next priority. AI apps require regular model tuning, retraining, and performance monitoring.

Key maintenance areas in 2025 include:

• Real-time bug fixing and AI output validation

• Continuous model training with fresh datasets

• Security patches and compliance updates

• Performance optimization using APM tools like New Relic or Datadog

• Regular UI/UX enhancements based on analytics and heatmaps

• Responding to user feedback through in-app surveys and review analysis

Consider setting up CI/CD pipelines for seamless feature rollouts and MLOps tools for managing AI model lifecycles efficiently.

Some Popular AI Apps to Try and Get Inspired In 2025

Many AI apps are getting so much popularity and reviews on the internet and in every industry. So, let’s have a look over some famous AI-powered apps you must download, observe, and try.

Productivity & Writing

• Jasper AI – Long-form AI writing assistant for blogs, ads, and more

• Gamma App – AI-powered presentation creator

• ChatGPT Mobile App – Multimodal assistant (text, voice, code, and vision)

• SwiftKey – AI-based smart keyboard for predictive typing

Voice & Speech

• Murf – Realistic AI voiceover and text-to-speech generator

• Suno.ai – AI-generated music and audio compositions

Video & Image Creation

• Pictory – AI-based video editing and summarization tool

• Wombo AI – Convert text into stunning AI-generated images

Chatbots & Companions

• Claude AI – Ethical chatbot and knowledge assistant

• Replika – Virtual AI friend for emotional support (enhanced with GPT-4)

• Bing AI – Conversational AI with advanced prompt capabilities

Mental Health & Learning

• Youper – AI-driven mental health and teletherapy app

• Elsa Speak – AI-powered app for English language learners

• Plato – Personalized AI tutor for students

These standout applications showcase how AI is being integrated across industries to boost creativity, automate tasks, enhance education, and support emotional well-being. Whether you’re building a tool or seeking inspiration, these apps are excellent case studies for what’s possible with AI in 2025.

Bottom Line

AI isn’t just a trend—it’s the future of app development. But starting from scratch can be overwhelming. That’s where a reliable partner like Intetics can make all the difference.

With over two decades of experience, Intetics delivers AI-driven software solutions, including custom AI apps, NLP tools, and deep learning models tailored to your business goals. We combine innovation with proven Agile methodologies to bring your app to life.

Learn more or request a consultation at: https://intetics.com