The autonomous enterprise is the operating model for companies in the next decade. At SAP Sapphire, SAP CEO Christian Klein positioned this as a cornerstone of SAP's strategy based on enterprise AI that is embedded directly into core processes.

However, the path to an autonomous enterprise cannot be defined by technology alone. It requires dialogue, shared learning and practical insights. That's exactly why we have the new podcast series Autonomous Enterprise launched, which we will moderate together.

What it's about right now

Today, companies are constantly facing new challenges, from geopolitical uncertainties and supply chain disruptions to energy challenges and increasing resilience demands. In this environment they can less and less afford to be idle. To remain competitive, companies must become faster, more adaptable and structurally more resilient.

The autonomous company offers an answer to this, combining three important capabilities:

• Data-driven decision making
• Automated execution of tasks
• Governance as an integral part

The dawn of a groundbreaking era of corporate management

Find out more about the autonomous company

These capabilities enable companies to move beyond isolated AI pilots and achieve measurable results that impact the entire organization.

However, this is not just a technical realignment, but also an organizational and strategic one. The executives we speak to are no longer asking whether they should adopt AI. The question is rather how quickly they can use AI on a large scale and thus offer concrete added value.

AI: vom concept to the operational model

At its core, AI is being refocused in the autonomous enterprise – not as a function added to applications, but as an integral part of the actual operational model.

This model is defined by three priorities:

• Added value: measurable results instead of experimental use cases
• Planning security: better decision making through reliable data and powerful forecasts
• Scalability: from proof-of-concept initiatives to enterprise-wide implementation

We are already seeing companies redesign their systems and processes as a result of this change. Central company systems develop into systems that implement measures. AI agents no longer just provide support, but also carry out tasks independently. And AI will be integrated throughout and not just limited to isolated scenarios.

At the same time, governance, audit security and traceability become essential. Companies must be able to stand behind every AI-supported decision with confidence and transparency.

What we want to talk about

In this podcast series we would like to create a space in which we examine these changes in depth and let the people who are significantly shaping this transformation have their say. In each episode, we interview SAP executives, customers, and industry experts who are actively building and maintaining autonomous enterprise capabilities today.

These are some of the questions we will delve into:

• What does the autonomous company look like in practice?
• How are leading companies scaling AI across all core processes?
• What are the biggest hurdles and how can they be overcome?
• How do companies balance automation with governance and trust?

In ours first episodewhich is now available to listen to, Peter Maier from SAP, responsible for Strategic Customer Engagements in SAP's Office of the CEO, puts these ideas into practical terms. In our conversation, he explains how companies move beyond the experimental stage to achieve measurable results, make more trustworthy and predictive decisions, and use AI across the organization.

What is particularly impressive is how clearly this reinforces a broader trend that is already underway: AI is no longer just being added to business processes, but is becoming an integral part of business operations.

First steps for companies on the way to becoming an autonomous company

Although the vision is ambitious, becoming an autonomous enterprise does not require a “big bang” transformation. A step-by-step and results-oriented approach is most effective.

Companies can initially focus on a single value-adding process and make it smarter, more transparent and more automated. They can then expand this step by step to other processes and continually achieve measurable added value.

But success doesn't just depend on technology. Trust plays an essential role. Employees, managers and stakeholders need to understand and trust how AI decisions are made. This requires transparent and explainable systems, a reliable, high-quality database and strong governance models integrated from the start.

Change management is also a crucial factor. Becoming an autonomous company is as much about people as it is about platforms. Companies need to align training, redesign roles and empower employees to have a say in how AI is integrated into their work.

The common path forward

The autonomous company is not a branding concept. It's about a new way of conducting business processes – more automated and data-driven and ultimately more resilient. And no company will go this route alone.

With this podcast we would like to support you. As a platform for shared learning where perspectives from different industries, functions and regions are brought together. We hope these conversations will provide you with practical insight and inspiration, whether you're just starting to adopt AI or expanding your transformation across the entire organization.

Be there. Listen in, join the discussion, give feedback, and help us shape future posts.

Benedikt Gieger is AI Strategy Lead for SAP Supply Chain Management.
Julia Kloppenburg is a technology consultant for Customer Engagement & Adoption at SAP.