Over the past year, I’ve had many conversations with customers about AI. What stands out is not a lack of activity; it’s how quickly AI development has become part of everyday work.

Across enterprises, teams are already using AI-powered development platforms to build applications, create agents, and automate workflows. These solutions are being applied to real business problems, both internally and in customer-facing products.

However, this shift has introduced a new set of challenges. Enterprise AI development is often fragmented across tools that sit outside the enterprise landscape, making it difficult to integrate with existing systems, enforce governance, and maintain consistency. At the same time, AI-driven workloads can be resource-intensive, increasing both complexity and cost as usage scales.

The issue is no longer whether AI can accelerate individual tasks; it clearly can. The challenge now is how to deliver those gains consistently across the company while maintaining control, efficiency, and scalability.

As a result, success is shifting from what AI can do to how effectively organizations can build, integrate, and operationalize AI solutions within their broader application landscape. Unlike fragmented toolchains or standalone AI tools, this requires a more unified and structured approach to development.

Constellation Research recently explored this challenge in the context of the new Joule Studio, SAP’s AI-first development environment, comparing it with traditional do-it-yourself (DIY) approaches across common enterprise scenarios. For example, in one benchmark, Constellation Research found that building an agentic AI application dropped from approximately 41 hours to 7.5 hours using Joule Studio. The results highlight faster development, along with broader changes in how enterprise teams build, integrate, and scale AI-powered applications.

The evolving role of enterprise application platforms

To understand the conversational shift, it’s helpful to look at the role enterprise application platforms play today.

In most organizations, they provide the foundation for building, connecting, and extending applications across systems and data, bringing structure and consistency to how solutions are developed and delivered within the enterprise environment.

In this context, enterprise application platforms are no longer just supporting development; they’re increasingly determining how effectively AI-powered solutions can be built, integrated, and operationalized within the broader application landscape.

This is where enterprise AI development platforms like Joule Studio come into focus. By bringing AI-enabled development into the enterprise application landscape—combining application services, business context, and lifecycle management in a single environment—they support the move toward more integrated and scalable AI delivery. In contrast, many AI tools operate outside the enterprise landscape, increasing development time and complicating integration and governance.

To better understand how these approaches compare in practice, Constellation Research evaluated development using Joule Studio against more traditional approaches.

What the research shows: Measuring the impact of modern application platforms

Constellation Research benchmarked Joule Studio against DIY development approaches across common enterprise scenarios.

Rather than focusing on theoretical benefits, the research evaluated how long it took teams to deliver real-world use cases, including:

• Developing agent-based capabilities.
• Building and extending agent skills.
• Delivering full-stack enterprise applications.

Across all scenarios tested, the data show a consistent reduction in development time, for example:

• Building an agentic AI application was reduced from approximately 41 hours to 7.5 hours.
• Extending an agent with a new skill dropped from 11.5 hours to just over 5 hours.
• Developing a full-stack enterprise application decreased from 47.5 hours to approximately 12.75 hours.

Taken together, these results show that when platform capabilities, agentic AI, and integration layers are aligned, development teams can reduce friction and move more efficiently from idea to working solution.

How Joule Studio drives development speed gains

The next logical question is: What’s behind these improvements?

The results outlined above point to a broader change in how development is approached in environments like Joule Studio, where several factors consistently contribute to faster delivery.

Constellation Research highlights the following advantages:

1. Reducing integration and setup overhead

As shown in the benchmarking results, a significant portion of traditional development time is spent outside of writing application logic.

Integration, authentication, service creation, and environment setup all contribute to the overall effort required to deliver an application.

In Joule Studio, many of these capabilities are already built in. For instance:

• Connections to systems and services are available out of the box.
• Common services can be generated or reused without starting from scratch.
• Infrastructure, runtime, and lifecycle management are handled as part of the environment.

This reduces manual effort and allows developers to focus on the parts of the solution that deliver direct business value.

2. Grounding AI in an enterprise business context

Another key factor is business context.

Generic AI tools can generate code, but they often lack an understanding of how enterprise systems, data, and processes are structured. This can lead to rework, integration issues, and misalignment with business requirements.

In Joule Studio, AI operates with built-in awareness of enterprise environments, including business rules, data models, services, and APIs. Because it is grounded in SAP systems and processes, it generates outputs that are more closely aligned with how the enterprise actually operates.

This reduces the need for rework and improves the accuracy of initial outputs, both of which contribute directly to faster delivery.

3. Embedding governance from the start

Finally, speed alone is not enough in enterprise environments; solutions also need to be trusted and scalable.

In traditional approaches, governance, monitoring, and operational controls are often added later, which can slow down deployment or introduce risk.

In Joule Studio, these capabilities are embedded into the development environment from the start. This includes managed runtime environments, visibility into deployed solutions, built-in lifecycle controls, and evaluation capabilities.

This allows applications and agents to be reliably governed, monitored, and scaled across the enterprise without introducing additional overhead.

Beyond these research-backed advantages, Joule studio also delivers:

1. Starting with intent, not just implementation

One of the biggest changes is how development work begins.

Traditionally, teams start with requirements, translate those into technical specifications, and then move into implementation. That process often introduces delays, particularly as requirements evolve.

In Joule Studio, development starts with intent. Instead of working through multiple layers of requirements, specifications, and setup, teams can describe a business goal or challenge in natural language—whether that’s building an application, extending a process, or creating an agent capability—and generate a structured starting point from there.

This allows teams to move more directly from business intent to working solutions, reducing the time spent on project structuring and translating ideas into deliverables while accelerating validation cycles.

2. Enabling broader participation across development teams

The research also highlights how development work is distributed across teams.

In more traditional approaches, complex tooling and fragmented environments often require a high level of specialization, placing greater demands on senior developers.

With more integrated and AI-assisted environments like Joule Studio:

• Junior developers can contribute earlier in the development process.
• Senior developers can focus on architecture and business alignment.
• Teams can scale delivery without increasing complexity at the same rate.

From an organizational perspective, this is just as important as the improvements in development speed, because it allows teams to increase output using the resources they already have.

Ultimately, Joule Studio combines intent-based development, deep enterprise context, and built-in governance in a single environment—enabling teams to build trusted agents, applications, and workflows aligned with real business outcomes in ways that fragmented or standalone tools typically cannot. From a business perspective, these improvements translate into faster time to production, reduced operational overhead, and the ability to scale innovation without a proportional increase in cost or complexity.

Enabling acceleration at enterprise scale

The findings from the Constellation Research report reinforce an important point: Accelerating development requires speed, along with consistency, scalability, and alignment with the organization.

Faster development can certainly be achieved in specific scenarios. In an enterprise environment, however, the challenge is balancing speed with quality across teams, use cases, and changing requirements.

Joule Studio addresses this by enabling teams to:

• Scale development across teams and projects.
• Maintain governance and compliance across environments.
• Ensure consistency in how applications are built and delivered.
• Deliver across increasingly complex landscapes.
• Work with applications, data, and processes that span multiple systems.

By combining intent-based development, enterprise business context, and built-in governance in a single environment, Joule Studio supports faster, more reliable application delivery at scale. As the Constellation Research findings demonstrate, this alignment enables organizations to move from idea to production faster, in a more structured, secure and sustainable way.