SAP, Databricks, and Google Cloud Alliance: Your Foundation for Business Autonomy

The conversation in the enterprise world is no longer about if AI will be used, but how it will be deployed. We are entering a new era: the “agentic age.”

Instead of AI simply assisting humans by generating reports or content, autonomous AI agents will execute complex business processes. Imagine an agent that monitors real-time sales, checks live inventory in SAP, and autonomously places a replenishment order – all before an analyst has finished their morning coffee.

However, this vision is blocked by a foundational problem we call the “integration trilemma” – the compromise businesses have been forced to make between three critical priorities:

1. Powerful AI and analytics (on platforms like Google Cloud)
2. Deep business context (locked inside your SAP core)
3. An open, flexible platform (for custom models, like Databricks)

Until now, optimizing for one meant sacrificing another. Moving SAP data to an AI platform destroyed its business (semantic) meaning. Keeping it locked in SAP deprived the AI of the live data it needs to function.

The new strategic alliance between SAP, Databricks, and Google Cloud decisively solves this trilemma. It provides the first viable blueprint for the autonomous, agent-powered enterprise.

Our CEO Martin Barzauner said the following: “I see a lot of excitement on the market when it comes to AI agents, but most companies can’t access the agent’s full capabilities due to fragmented data. That’s why this new alliance presents a huge opportunity – it serves as a foundation for all your business data, giving AI agents access to your business core.”

The alliance solves the integration trilemma by finally connecting these three pillars:

• Google’s AI “Brain” + SAP’s “Nervous System”: The alliance allows Google’s most advanced AI, like Vertex AI agents, to reason and act on your live, semantically-rich SAP data without slow, complex replication.
• An Open “AI Factory”: It integrates Databricks, allowing your teams to build custom AI models (e.g., for demand forecasting) on the same live SAP and Google data, preventing vendor lock-in.
• A “Governance Layer”: SAP’s Business Data Cloud acts as the “governor,” ensuring that any AI agent understands the business rules (e.g. what “approved for payment” actually means) preventing costly “agentic hallucinations.”

What This Looks Like in Practice: An Autonomous Process

This new foundation moves you from human-led analytics to agent-led autonomy. Let’s take an example of a CPG (Consumer Packaged Goods) company.

The Old Way: AI Assistant

1. Your AI model in Databricks crunches last night’s data and sends an email alert: “Retailer XYZ in Munich is running low on your top-selling shampoo.”

2. A planner sees that email the next day, logs into SAP, manually checks your central warehouse inventory, and thencalls the retailer’s purchasing manager.

By then, the shelf is empty. You’ve lost sales.

The Autonomous Agent

Instead of just providing an alert, the agent is able to execute an autonomous, orchestrated process.

1. The Databricks AI agent detects the stock-out risk.
2. The agent instantly and autonomously pings your live SAP S/4HANA system to confirm you have stock in the nearby regional warehouse. It understands the “available-to-promise” logic because it has the SAP semantic context.
3. It automatically creates a draft replenishment order in your SAP core and simultaneously pushes a ‘Smart Alert’ to that retailer’s B2B customer portal, offering them a 5% incentive to approve the order now.
4. The retailer’s store manager gets the alert on their phone, clicks ‘Approve,’ and the order is confirmed in SAP and sent to the truck.

The shelf never goes empty.

From Strategy to Action: Architecting for Autonomy

This partnership between SAP, Databricks, and Google Cloud represents a fundamental shift in enterprise strategy. It requires business and IT leaders to stop architecting for slow, human-led analytics and focus on agent-led autonomy.

The future of your business depends on a data foundation that is simultaneously powerful (performant), intelligent (semantically rich), and flexible (open). The combined blueprint from these three partners is the first to deliver on all three, providing the essential foundation for a truly autonomous enterprise.

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