For most enterprises running SAP, the path to AI has been blocked by the same problem for years: the data that actually drives the business is locked inside ERP systems, and getting it into analytics tools means building pipelines, running nightly syncs, and accepting that your AI is always working from yesterday’s numbers.

On July 27, 2026, SAP and Google Cloud removed that bottleneck. SAP Business Data Cloud (BDC) Connect for BigQuery is now generally available globally, giving enterprises a live, zero-copy connection between their SAP operational data and Google BigQuery’s analytics and AI infrastructure.

No replication. No pipelines. No data lag.

What Zero-Copy Actually Means

The technical term “zero-copy” sounds like marketing shorthand, but the business implication is real. Under the old model, enterprises would extract data from SAP, load it somewhere, transform it, and then feed it to analytics tools. That process introduced latency, storage costs, governance complexity, and the kind of stale data that makes AI recommendations less trustworthy.

BDC Connect changes the architecture. SAP business data — including tables, metadata, and business semantics — is now queryable directly from BigQuery and Google Cloud’s Knowledge Catalog without any replication step. You run your BigQuery analytics or AI agent workflows against live SAP data, and the data stays where it lives.

The connection is bidirectional too. That means data products from Google Cloud’s Cortex Framework can flow back into SAP Business Data Cloud, so the integration works both ways across the SAP and Google ecosystems.

Why This Matters for AI Agents

This is where the story gets interesting for enterprise AI teams. One of the most common failure modes when deploying AI agents in large organizations is that the agents can’t access the data that would actually make them useful. They end up operating on sanitized exports, old reports, or structured datasets that don’t reflect what’s happening in the business right now.

BDC Connect addresses that directly. An AI agent that handles procurement, for example, can now query live inventory levels, vendor payment terms, and purchase order status from SAP without waiting for an ETL job to run. A financial planning agent can pull current general ledger data rather than working from last month’s export.

SAP and Google Cloud are already building this into their platforms. Gemini Enterprise Agent Platform and SAP Joule can now orchestrate multi-agent workflows that draw on real-time SAP operational data as a native source. Natural language queries via Gemini Enterprise or Joule can reach that data directly — no SQL required from end users.

Real Enterprise Deployments

ElringKlinger, an automotive supplier, is already using the zero-copy architecture to query real-time ERP data without replication. The result: faster production analytics, localized inventory reporting, and lower data infrastructure costs.

This kind of deployment was expensive and fragile before — it required custom integration work and ongoing maintenance. With BDC Connect, it becomes a configuration decision rather than an engineering project.

The Bigger Shift: Data as AI Infrastructure

The SAP and Google Cloud partnership signals something broader about where enterprise AI is heading. The AI use cases that produce real business value are the ones grounded in real operational data. Inventory, orders, customers, vendors, financials — this is the data that lives in ERP systems.

Until now, AI vendors have largely promised to work with this data, but the integration reality has been complicated. BDC Connect is a concrete step toward making SAP data a first-class citizen in AI workflows, without forcing enterprises to rearchitect their data infrastructure.

For teams using both Google Cloud and SAP, the integration is now live and global. For teams on other ERP platforms, the direction of travel is clear: real-time operational data access is becoming table stakes for enterprise AI that actually works.

What This Means for Your Business

If your organization runs SAP and has any AI or analytics workloads on Google Cloud, this is worth evaluating now. The core value proposition is simple: stop paying the pipeline tax — in time, cost, and data freshness — and give your AI agents access to data that actually reflects today’s business reality.

For data teams at Enterprise DNA, zero-copy integration between operational and analytics systems is exactly the kind of architectural shift that makes AI automation worth building. Agents that can see what’s actually happening in the business right now can take actions that matter — not actions based on last week’s data.

The SAP and Google Cloud integration is available globally. If your team wants to understand how live operational data access changes what’s possible with AI agents in your specific context, talk to the Enterprise DNA team.