How are you developing adaptable AI apps at scale?

Two years on from the start of the AI revolution, technology is embracing its Agentic AI era. Traditional interfaces and rule-based workflows are out; and AI-powered autonomous orchestration, contextualized decisions and continuous evolution, are in. And as our new guide produced with Amazon Web Services (AWS), Five principles for adapting AI applications at scale, details: it’s no longer a question of if, but how fast organizations can modernize their apps portfolios.

In a constantly shifting technological landscape, I’ve noticed that the organizations that stay ahead are the ones that can demonstrate flexibility and agility and adapt easily when needed. As we move towards greater Gen AI integration and transition from modern apps towards AI-powered apps, technology, business and user experience are coming together in intelligent apps that behave in an adaptive, autonomous and contextually aware manner.

As the Capgemini Institute report Rise of Agentic AI (2025) states, 93% of organizations are exploring or enabling Gen AI capabilities, and 23% are already running AI agent pilots. Our new guide explores the characteristics of intelligent apps and shows how organizations can react and update how they design, develop and maintain them, using AWS technology.

Even if Agentic AI is a tremendous disruption and opportunity for organizations, this tech shift builds on the same cloud-native principles, modular design, security, scalability, and observability while introducing new paradigms like AI-driven development and adaptable business logic.

In our ebook, available to download now, we define the five principles you need to develop AI applications, transform, modernize and scale up, to take your organization’s Gen AI adoption to the next level.

1. Fast-track your design

Take a modular, visual approach and simplify design straight up. Programs like AWS Infrastructure Composer can help make solution architecture super-fast, and enable continuous adaptability as you look further down the line. The design phase can now continue for as long as you need it to, helping you to stay flexible.

2. Code as you think

AI-powered no-code tools can help reduce time spent on repetitive coding tasks, and free up your human resources for more exciting innovation. Amazon Q Developer can translate business logic into high-quality code quick smart, legitimately using the power of AI to build AI.

3. Compose your business logic

Modular architectures like AWS Lambda and Step Functions will allow you to adapt seamlessly to changing needs, enabling you to scale up or flex out, faster. Once your design is in place, you’ll be glad you chose serverless and agentic architecture.

4. Empower your Gen AI apps

Agentic design services can create conversational interfaces that behave autonomously, according to context. Amazon Bedrock and Lex allow you to infuse your apps with Gen AI intelligence while retaining control.

5. Observe your business insights

Keep an eye on what your business is telling you and get ready to take action, with observability tools like AWS X-Ray and Cloud Watch. Telemetry, trace app behaviour’s and technical insights are all collected and translated directly into workable business decisions.

In the real world however, steps like these can be easier said than achieved. Enter Smart Koffee, a fictional coffee machine producer case study, that shows exactly how each principle can be used on the ground by fusing technology with business. Through Smart Koffee, we show how ‘agility’ can mean adaptable systems that enable organizations to pivot fast; and ‘resilience’ signals tech you can rely on, to keep the lights on even during a bump in the road. Intelligent apps also allow you to do far more with less to optimize costs and minimize wastage, offering straightforward tools and practices to allow you to maintain apps across their complete life cycle. With all that taken care of, you can focus more on what you do best.

In providing practical solutions to real challenges, our guide shows how your transition to intelligent apps can be fast and frictionless. Use the points that speak to you to spark conversations in your organization, figure out how our principles can help you work through blockers, and accelerate your transformation to scale up sustainably. Get ready to modernize — and own your own future.

Download Five Principles for developing AI applications at scale, now