Businesses want to quickly and safely deploy AI agents to drive revenue, mitigate risk, and optimize capital, all without disrupting mission-critical ERP systems. And to power AI agents, you need more than raw data: You need interoperable data products that act as a single, reusable source of truth, turning cryptic source system records into clear business terms. 

Today, we are announcing the general availability of Google Cloud Cortex Framework version 7. This release modernizes your data architecture for agent readiness, helping you quickly deploy, customize, and extend robust data products while simplifying orchestration and reducing the infrastructure overhead of traditional approaches.

While ERP systems hold a wealth of foundational data, turning those transactional records into AI-ready data products is difficult, especially without slowing down core operations. Cortex Framework v7 solves this with purpose-built data product accelerators for SAP. Deployed directly in BigQuery and Knowledge Catalog, these data products feed Gemini Enterprise Agent Platform with accurate business context so your AI agents can execute with high fidelity. It also simplifies data orchestration using a modular, scalable deployment architecture powered by Dataform, an end-to-end experience that helps data teams build, version control, and orchestrate workflows in BigQuery. 

Read on for more details about what you’ll find in Cortex Framework v7, how it integrates with the recently released SAP Business Data Cloud Connect for BigQuery, what our customers are saying, and how to get started.

What’s new in Cortex Framework v7

1. Deliver agent-ready data products 

Traditional business intelligence (BI) dashboards tell you what happened last quarter, but modern AI models and agents help you act in real time. To power this shift, Cortex Framework v7 packages your enterprise data into semantically rich data products that contain AI-friendly metadata. This enables your agents to reason, orchestrate, and execute high-impact workflows.

By translating raw SAP tables into clear business terms, dynamically ingesting custom fields, and natively handling advanced logic (like SAP TCURX currency decimal shifts), the Framework maintains the high data fidelity required for large language model (LLM) interactions and enterprise analytics.

These purpose-built data product accelerators for SAP ERP and SAP Business Data Cloud deploy directly in BigQuery. Once they’re deployed, you can trigger automatic registration in Knowledge Catalog to easily discover data and connect it with your AI agents.

To accelerate custom AI projects, this release also includes agent skills for an agentic data product builder that helps data and knowledge engineers use natural language to generate custom data products. Using the Framework's provided content, an AI agent can automatically handle the build process, including adapting to specific source data requirements and customizations.

With v7 you can also extend Cortex Framework to maintain a clean separation between Cortex Framework-delivered content and your custom models. This helps you apply the latest code updates without impacting your custom work. 

2. Build faster with modular deployments

Dataform powers the modernized data pipelines in Cortex Framework v7, offering version-controlled SQL and native dependency management. When you select a packaged data product for deployment, Cortex Framework retrieves and processes only the required tables. Dependency resolution automatically handles order-of-operations and generates a dependency graph for efficient processing. You can also add custom fields or logic without breaking standard models.

This modular approach extends natively to complex, multi-system SAP environments. Using built-in logic differentiation, Dataform compiles and deploys Cortex Framework data products for SAP ECC, SAP S/4HANA, and SAP BDC source systems in parallel, while dynamic schema discovery automatically ingests and processes custom SAP fields such as Z-fields. Together, these capabilities help you bring in data from multiple systems simultaneously, reducing the need to manually refactor pipelines.

3. Scale cost-effectively with flexible processing

Cortex Framework now defaults to BigQuery incremental loading and non-destructive schema updates, processing only new or modified data. This approach minimizes compute time and significantly lowers operational expenses. Because orchestration relies on Dataform’s serverless, BigQuery-native execution, data processing scales without additional infrastructure overhead.

You can also use a bring-your-own (BYO) change data capture (CDC) approach. You can use this approach to bypass built-in CDC data processing and connect your existing CDC-processed pipelines directly.

Interoperability with SAP Business Data Cloud

Following the recent general availability of SAP Business Data Cloud Connect for BigQuery, Cortex Framework v7 now natively supports SAP BDC standard and custom data products. By combining Cortex Framework-delivered data products with SAP BDC data products, you can uncover new business opportunities. To accelerate this, v7 includes solution samples across both SAP BDC and SAP ERP data to help you quickly answer a wide range of critical questions such as assessing the health of your sales pipeline or identifying procurement inefficiencies.

Co-innovating with industry leaders

We’ve worked closely with our Professional Services Organization and industry leaders to test these new capabilities. By serving as our lighthouse customers, these organizations provided valuable feedback to help us shape a framework built for enterprise-scale agility and AI readiness. 

“As an existing Cortex Framework customer, we are excited about the capabilities introduced with the latest v7 release. Bridging complex SAP ECC and S/4 environments with Google Cloud’s AI capabilities requires a trusted data foundation with accurate business context. Based on the capabilities announced for Cortex Framework v7, including the agentic data product builder, we see significant potential to accelerate and scale the creation of enterprise data products for analytics and agentic AI use cases. The direction of the platform is particularly promising for organizations looking to make SAP data more accessible, semantically meaningful, and ready to support future reporting and AI initiatives.” 
- Dr Jwan Ibrahim, Director, Data and Analytics, SLB

Get started

Cortex Framework v7 changes how enterprises operationalize their most critical data for AI agents. By combining serverless execution, AI-ready semantics, and native SAP integration, Google Cloud helps you turn complex enterprise data into a strategic asset. To get started, check out the following resources:

• Execute a deployment: Try a Cortex Framework demo deployment (with a predefined sample dataset) to explore your first v7 data products today.

• Learn more: Read the comprehensive Cortex Framework v7 technical documentation for deep dives into production deployment steps, configuration, extensibility, source system integration, and packaged data products.

• Talk to an expert: Contact your Google Cloud account team to learn how Cortex Framework v7 can accelerate your specific data-to-AI journey.

Traditional data replication techniques often struggle to deliver the data freshness that modern workflows require. To help organizations overcome this challenge, SAP and Google Cloud are announcing that SAP Business Data Cloud Connect for BigQuery is now generally available. 

As the next phase of our long-standing partnership, SAP BDC Connect for BigQuery gives you zero-copy access to data products across SAP Business Data Cloud and BigQuery – reducing silos, preserving valuable business context, and accelerating analytics and AI.  This makes current, semantically rich data available across both environments, helping AI agents execute complex business tasks while your teams remain in control.

Stop copying data for AI projects

Built to support a zero-copy architecture, SAP BDC Connect for BigQuery establishes a secure, bi-directional connection between SAP Business Data Cloud and Google’s data and AI ecosystem. Access SAP tables, metadata, and business semantics directly in BigQuery and Knowledge Catalog  (formerly Dataplex) and vice versa. Ground your AI agents in operational reality instead of raw, isolated database fields.SAP BDC Connect for BigQuery enables organizations to:

• Scale AI on trusted data: Build governed, trustworthy AI grounded on a semantically rich data foundation with live, zero-copy access to data products across SAP Business Data Cloud and BigQuery.

• Deploy multi-agent workflows: Orchestrate workflows with intelligent agents across SAP and Google with Gemini Enterprise Agent Platform and SAP Joule.

• Discover deeper patterns: Combine mission-critical SAP data with unique datasets, such as Google Trends and Google Maps geospatial data, to create better business context. You can then publish this enriched data directly back to SAP.

• Improve business analytics: Empower employees to ask open-ended business questions in natural language using Gemini Enterprise or Joule and receive immediate, context-aware answers grounded in SAP and Google Cloud data.

Scale your data value without inflating costs

SAP BDC Connect for BigQuery’s zero-copy architecture helps lower your total cost of ownership (TCO) compared to alternative data platforms by minimizing the need to replicate, store, and maintain duplicate copies of your data. Because you can query data in place, you don’t incur data sharing fees. This creates a predictable billing model that insulates your organization from unexpected charges.

How customers translate shared data into actions 

Organizations with preview access to SAP BDC Connect for BigQuery are already using its zero-copy architecture to solve more complex operational challenges. By speeding up data pipelines, early adopters are breaking down global data silos, predicting supply chain disruptions, and responding to fluctuating customer demands faster. Contrast that with traditional data practices where data connections take weeks to build, stalling enterprise AI initiatives. By interacting directly with SAP and Google data, teams can rapidly build functional prototypes and accelerate return on their AI investments.

ElringKlinger is a global automotive supplier managing complex, multi-country manufacturing and supply chain data, and is using zero-copy to break down data silos. By querying real-time ERP data without having to replicate it, the company aims to reduce the complexity of its data infrastructure while supporting rapid production analytics with localized inventory reporting.

"Operating a global automotive footprint means managing vast, complex supply-chain and production data. Today, the majority of that data sits in SAP BW/4HANA, our established reporting backbone. Testing SAP BDC Connect for BigQuery showed a powerful new path forward: BigQuery as an analytical layer on top of our existing BW/4HANA assets — no data copy, no migration — unlocking AI-based Conversational Analytics while fully preserving our prior investment. This also lays the groundwork for agentic use cases that automate supply chain processes, giving teams real-time visibility into manufacturing signals worldwide." - Cleve Bankston, Project Manager and Dirk Brümmer Head of IT Architecture, ElringKlinger 

Unify data to build smart workflows with partners

SAP and Google Cloud’s global partner network is actively building use cases with SAP BDC Connect for BigQuery. These help you move from isolated AI experiments to amplifying your team's ability to handle highly variable tasks that are difficult to manage manually. To make this possible, our partners combine trusted SAP data with broader sources to help you deploy agentic AI and autonomous operations. With this unified approach, your team can connect disparate systems, maintain governance, and drive operations that deliver bottom-line impact.

“As enterprises accelerate their reinvention agenda, the ability to unify data across business systems is foundational to scaling agentic AI. And that’s where SAP Business Data Cloud Connect for BigQuery is quite powerful. It enables enterprises real-time access to trusted financial, operational, and sustainability data, eliminating traditional data silos. This, combined with Gemini Enterprise and Accenture's deep industry expertise, allows organizations to build intelligent agents, drive autonomous operations, and modernize their digital core faster while unlocking new levels of business value.” –  Chetna Sehgal, Global Practice Lead, Accenture Google Business Group

“Organizations don’t want a data science project; they want concrete business outcomes like working capital improvement and reduced operational costs. By leveraging this zero-copy integration, we built an autonomous procurement agent for a client. Because the agent reads live SAP inventory levels and market data inside BigQuery simultaneously, it autonomously re-routed orders during a recent supplier shift — saving millions in potential downtime and demonstrating that agentic AI tied to real-time data can deliver bottom-line impact.” - Piyush Bhandari, Managing Director, Deloitte Consulting LLP

“Based on a recent assessment and prototyping experience with a KPMG member firm energy client, we believe there is strong potential for SAP BDC Connect for BigQuery to help organizations modernize enterprise planning, analytics, and data integration on a scalable foundation. KPMG firms’ evaluations indicate that this integration can support higher-volume analytical workloads at enterprise scale, helping to provide a critical data foundation to allow exploration of future AI and agentic use cases. As with any transformation, realizing the full business value can depend on the implementation approach, data quality, and organizational readiness.” - Mark Shank, Principal, Advisory, Banking, Tech & Data Engineering, Google in KPMG US

“Our clients aren't just looking for more information; they’re looking for better business decisions. At PwC, we’re helping organizations unify SAP business data with broader enterprise data sources inside Google Cloud. This creates a single, trusted foundation for AI that strengthens analytics, supports robust governance and compliance, and drives intelligent workflows across the enterprise. This unified approach is how organizations move from isolated AI experiments to true, enterprise-wide business transformation.” - Patrick Pugh, Global and US Alliances and Ecosystem Leader, PwC US

Power of agentic data: Perspectives from SAP and Google Cloud

Regional availability

• SAP Business Data Cloud: Available today in Google Cloud regions in Australia (Sydney), Brazil (São Paulo), India (Mumbai), Israel (Tel Aviv), Germany (Frankfurt), Japan (Osaka), Saudi Arabia (Dammam) and the United States (Iowa).

• SAP BDC Connect for BigQuery: Generally available globally for all Google Cloud customers.

• Cross-cloud support: SAP BDC Connect for BigQuery supports SAP Business Data Cloud instances hosted on Google Cloud and AWS, with support for SAP Business Data Cloud instances hosted on Microsoft Azure coming soon.

Get started

To learn more, visit our website or speak with your Google Cloud account representative. For details on getting started with SAP BDC connect for BigQuery, visit our documentation page to get started with your zero-copy connection today.