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With the rapid advancements in AI and machine learning, the enterprise landscape is experiencing profound changes. While some may view AI as a disruptive force, others are leveraging its capabilities to streamline operations and reduce repetitive work. One such innovation is AUTOSAD, a groundbreaking platform that automates system architecture and design tasks. Today, we have the pleasure of speaking with Dr.Mujahid from MLSoft, who shares his insights on how AUTOSAD is transforming enterprise workflows and what the future holds for AI in system design.
Sami: Hi everyone! My name is Sami, and I’m the Creative Director at Inxnia. Today, I’m joined by Dr. Mujahid from MLSoft. Thank you for being here with us! Could you start by explaining what AUTOSAD is?
Dr. Mujahid: Thank you, Sami, for having me. AUTOSAD stands for Automated Software Architecture and Design, or System Architecture and Design, if you prefer. It’s a platform that uses machine learning, artificial intelligence, Generative AI, and large language models to automate complex system design tasks.
Typically, system architects and designers are tasked with repetitive, time-consuming work. With AUTOSAD, we’ve automated those tasks, cutting down time spent on system architecture and design by 70 to 80%. This saves organizations significant resources while maintaining precision.
Sami: Fascinating! How exactly does AUTOSAD work under the hood?
Dr. Mujahid: At its core, AUTOSAD operates with a set of AI or machine learning agents. Now, what’s an AI agent? It’s an autonomous entity that analyzes your data—such as corporate information—and takes action based on what it has learned.
In any enterprise, there are workflows specific to different roles. For example, a business analyst has a specific workflow, just like an application architect, technology architect, security architect, or even a project manager. Our AI agents study these workflows and automate them.
Overnight, while you sleep, these agents are at work, automating repetitive tasks that humans traditionally had to perform manually at the start of a project. This means that by the time you begin work, much of the groundwork is already done, allowing teams to focus on higher-level tasks.
Sami: That sounds like a huge time-saver. Where do you see AI and machine learning heading in the future?
Dr. Mujahid: AI and machine learning are on the path to take over nearly every domain. In fact, it’s already happening. The future of AI and ML in enterprises is systems built and operated by AI itself. There’s a substantial portion of routine tasks in any business that can be automated, and humans really shouldn’t be doing them anymore.
Take document summarization, for instance. In the past, companies paid hefty fees to consultants with specialized business knowledge. But now, AI can learn from corporate data and produce better results than even human experts in many cases. AI is making life easier for both humans and enterprises by automating large portions of the work. Generative AI and large language models are central to this evolution.
As the conversation with Dr. Mujahid from MLSoft reveals, AI is not just about the flashy demonstrations we often see. Instead, it offers a deep, transformative impact on enterprise workflows, automating routine tasks and enabling teams to focus on more strategic initiatives. With AUTOSAD, companies can save up to 80% of their time spent on system architecture and design, leading to more efficient operations and greater innovation.
AI is here to stay, and enterprises that embrace it will see enormous benefits—not just in productivity, but in overall business growth. As AI and machine learning continue to evolve, we can expect even more sophisticated solutions that will revolutionize the way we work.
Stay tuned for more insights as we continue this conversation in upcoming blogs!
