Put your SAP data to work, in analytics and AI you can trust.
We connect SAP business data with the data and AI services of AWS, Microsoft Azure and Google Cloud, using SAP Business Data Cloud, SAP Databricks, SAP Datasphere and the generative AI hub on SAP BTP. You get governed, business-ready data and AI use cases that keep SAP context, without building a tangle of copies and custom extracts.
Why SAP data needs a plan for AI
SAP holds your most valuable data: orders, stock, finance, suppliers and people. It is also hard to use outside SAP, because tables are complex, business meaning sits in the application layer and every extract creates another copy to secure and reconcile. AI makes this worse if models are fed partial or stale data. A clear data architecture, with SAP semantics kept intact and governance in place, is the difference between a useful AI assistant and a risky one.
Business meaning gets lost
Raw table extracts drop the semantics that SAP applications add. SAP Business Data Cloud data products keep that context, so analysts and models work with recognisable business objects.
Too many copies
Every replicated copy adds storage, security and reconciliation work. Zero-copy sharing through SAP BDC Connect with Databricks, Google BigQuery and Microsoft Fabric reduces the need to duplicate data.
AI without guardrails
Generative AI on business data needs access control, grounding and monitoring. The generative AI hub in SAP AI Core gives governed access to models from providers including Amazon, Anthropic, Google, Meta, Mistral AI and OpenAI.
Names and offerings change fast
Vertex AI is now Gemini Enterprise Agent Platform and Azure AI Foundry is now Microsoft Foundry. We track these changes so your architecture uses what is current and supported.
What we do
We design and build the data and AI layer around your SAP landscape, on the cloud you already use.
Data and AI strategy
We map your SAP sources, business questions and AI ideas to a target architecture. We pick the first use cases by value and data readiness, not by hype.
SAP Business Data Cloud setup
We plan and configure SAP Business Data Cloud, including SAP Datasphere and SAP Analytics Cloud. We activate the data products and intelligent applications that fit your processes.
SAP Databricks and BDC Connect
We use SAP Databricks for data engineering and machine learning on SAP data products through Delta Sharing. Where you already run Databricks, Google BigQuery or Microsoft Fabric, we set up SAP BDC Connect for zero-copy sharing in both directions.
Replication to hyperscaler data lakes
Where a copy is the right answer, we build SAP Datasphere replication flows to Amazon S3, Azure Data Lake Storage or Google Cloud Storage and BigQuery. We design for change data capture, volumes and outbound integration licensing.
Generative AI on SAP data
We build assistants and agents with the generative AI hub on SAP BTP, Amazon Bedrock, Microsoft Foundry or Gemini Enterprise Agent Platform. We ground answers in SAP data and keep humans in the loop for actions.
Governance and security
We set up catalogues, access policies, lineage and data quality checks across SAP and cloud tools. Sensitive fields such as personal data are masked or excluded before they reach a model.
How it works
- 1
Discover
We review your SAP systems, existing data platforms and reporting pain points. We agree three to five use cases with owners and success measures.
2 to 3 weeks - 2
Design
We define the target architecture: which data stays in SAP Business Data Cloud, what is shared zero-copy and what is replicated. We document security, identity and network design.
2 to 4 weeks - 3
Build the foundation
We provision the platform, connect SAP sources and publish the first data products. We automate deployments and set up monitoring from the start.
4 to 8 weeks - 4
Deliver use cases
We build dashboards, models and AI assistants for the agreed use cases, testing them with business users. Each one goes live with clear ownership and support.
4 to 6 weeks per use case - 5
Scale and improve
We add data products, tune performance and track adoption. Your team takes on more of the work as skills grow.
Ongoing
Native data and AI services per cloud
We combine SAP data services with the native data and AI services of your chosen cloud.
| Need | AWS | Microsoft Azure | Google Cloud |
|---|---|---|---|
| Data lake storage | Amazon S3 | Azure Data Lake Storage, Microsoft Fabric OneLake | Cloud Storage |
| Analytics warehouse | Amazon Redshift | Microsoft Fabric | BigQuery |
| SAP data ingestion | AWS Glue, Amazon AppFlow | Azure Data Factory, Fabric Data Factory | BigQuery Connector for SAP |
| Zero-copy sharing with SAP BDC | SAP Business Data Cloud on AWS with SAP Databricks | SAP BDC Connect for Microsoft Fabric | SAP BDC Connect for BigQuery |
| Generative AI models | Amazon Bedrock | Microsoft Foundry (formerly Azure AI Foundry) | Gemini Enterprise Agent Platform (formerly Vertex AI) |
| Agents | Amazon Bedrock AgentCore | Microsoft Copilot Studio, Foundry Agent Service | Gemini Enterprise |
| Data governance | AWS Lake Formation | Microsoft Purview | Knowledge Catalog (formerly Dataplex) |
The SAP angle
SAP Business Data Cloud is SAP's answer to the data problem: it brings SAP Datasphere, SAP Analytics Cloud, SAP Business Warehouse and SAP Databricks together around managed data products that keep business context. The generative AI hub in SAP AI Core gives governed access to large language models, and Joule uses SAP data to answer questions and act within SAP applications. SAP now positions SAP BTP, SAP Business Data Cloud and its AI services together as the SAP Business AI Platform, announced at SAP Sapphire 2026. Our job is to fit these SAP services together with the hyperscaler platform you already run, so you do not pay twice for the same capability or end up with two versions of the truth.
- SAP Business Data Cloud data products are shared to SAP Databricks through Delta Sharing, without physical copies.
- SAP BDC Connect links SAP Business Data Cloud with Databricks, Google BigQuery, Microsoft Fabric and Snowflake.
- SAP Datasphere replication flows can send SAP data to Amazon S3, Azure Data Lake Storage and Google BigQuery.
- The generative AI hub on SAP BTP offers models from Amazon, Anthropic, Google, Meta, Mistral AI and OpenAI under one governance layer.
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Deliverables
- SAP data and AI target architecture with a decision on share, replicate or keep in place
- Configured SAP Business Data Cloud or hyperscaler data platform with SAP sources connected
- Prioritised use case backlog with owners and success measures
- Working dashboards, models or AI assistants for the first use cases
- Data governance model covering access, lineage, quality and personal data
- Runbooks and handover sessions for your data and SAP teams
Frequently asked
Do we need SAP Business Data Cloud to use AI on SAP data?
No, but it helps. SAP Business Data Cloud gives you managed data products with SAP semantics and zero-copy sharing to Databricks, BigQuery and Microsoft Fabric. Without it, we can still replicate SAP data with SAP Datasphere or hyperscaler connectors, but more of the modelling and governance work sits with you.
What is the difference between SAP Databricks and our own Databricks?
SAP Databricks is a managed version of Databricks included as a service in SAP Business Data Cloud, with SAP data products available through Delta Sharing. If you already run Databricks on AWS, Azure or Google Cloud, SAP BDC Connect for Databricks can share SAP data products with that workspace instead. We help you decide which fits your team and existing investments.
Which AI models can we use with SAP data?
The generative AI hub in SAP AI Core offers models from providers including Amazon, Anthropic, Google, Meta, Mistral AI and OpenAI. You can also use Amazon Bedrock, Microsoft Foundry or Gemini Enterprise Agent Platform directly. We choose based on the use case, data residency and the cloud you already use.
Does our SAP data leave Sri Lanka or India?
There is no AWS, Azure or Google Cloud region in Sri Lanka, so cloud data services run in a nearby region such as Mumbai or Singapore. SAP Business Data Cloud on Google Cloud is available in Mumbai, for example. We document where each dataset is stored and processed so you can check it against your obligations, including Sri Lanka's Personal Data Protection Act.
We run ECC, not S/4HANA. Can we still do this?
Yes. SAP Datasphere can connect to SAP ECC through ABAP connections, and hyperscaler connectors such as AWS Glue, Azure Data Factory and the BigQuery Connector for SAP also support ECC. Some SAP Business Data Cloud data products and intelligent applications are built for newer SAP systems, so we check fit source by source.
Often paired with this
Plan your move with people who know SAP.
One working session with our cloud and SAP architects. You leave with the options, the risks and a first plan.
- Your landscape reviewed
- The right cloud and region
- A first roadmap
Sources
- Databricks: SAP Databricks GA in SAP Business Data Cloud
- Google Cloud: SAP BDC Connect for BigQuery GA
- Microsoft Fabric: SAP BDC Connect for Microsoft Fabric
- SAP News: SAP Snowflake and BDC Connect
- SAP Help: generative AI hub SDK, supported providers
- AWS: replicating SAP data with SAP Datasphere
- HPCwire: Gemini Enterprise Agent Platform, evolution of Vertex AI
- Directions on Microsoft: Azure AI Foundry renamed Microsoft Foundry
- SAP: Top 5 SAP Sapphire 2026 AI announcements
At Mawkish, the Keswick Playbook is how we keep AI & Data on SAP Data work checked, owned and answered for, whoever does the build.
AWS, Microsoft Azure, Google Cloud and SAP are trademarks of their respective owners.