Put your SAP data to work. Modern analytics and AI on top of S/4HANA, without ripping anything out.

BTP is SAP's extension and integration platform, and it is where most modern work on top of S/4HANA belongs. We build here so custom logic and apps sit outside the digital core, keeping S/4HANA clean and upgrade-safe.

• Deploy side-by-side extensions on Cloud Foundry or Kyma instead of modifying standard SAP code
• Stand up Business Application Studio, CAP services, and destinations wired to your S/4HANA system
• Manage authentication and role mapping through the BTP subaccount, XSUAA, and your identity provider

Integration Suite (formerly Cloud Platform Integration) is how SAP talks to everything else. We use it to expose S/4HANA data through governed interfaces and to route messages between SAP and your non-SAP systems.

• Build integration flows (iFlows) that read and write S/4HANA via OData and BAPIs
• Publish and secure REST and SOAP APIs through the API Management tier with quotas and keys
• Wire event-driven flows with Advanced Event Mesh so downstream systems react to SAP business events

Analytics Cloud (SAC) is SAP's native BI and planning layer with a live connection to S/4HANA. We model stories, dashboards, and planning inputs on it so finance and operations read from governed data instead of spreadsheet exports.

• Build live models on CDS views and BW/4HANA so numbers match the source in real time
• Design stories and dashboards for finance close, spend, and operational KPIs
• Configure row-level data access and value-driver trees for planning and forecasting

Fiori is SAP's UX layer, and many teams still fall back to spreadsheets where a screen is missing. We build Fiori apps and, where Fiori is the wrong tool, modern web UIs that call SAP through governed APIs.

• Build SAPUI5 and Fiori Elements apps deployed to the Fiori launchpad on BTP
• Create React or Next.js front ends that consume S/4HANA OData through BTP destinations
• Close manual gaps: approval screens, data-entry forms, and role-based task lists

Getting at SAP data cleanly is the hard part, and CDS views are the supported way to model it without touching tables directly. We expose data through CDS and Datasphere so analytics and AI read consistent, governed semantics.

• Author and extend ABAP CDS views to shape S/4HANA data for consumption
• Model federated and replicated data in SAP Datasphere with lineage preserved
• Provision governed data products to Snowflake, BigQuery, or Databricks for the wider stack

AI is only as useful as the data it can reach, and SAP data is usually locked behind interfaces. We connect language models and retrieval to governed SAP sources so answers cite real records, and we integrate with Joule where it fits.

• Build retrieval over SAP data (POs, invoices, master data) with permission checks preserved
• Ground models on OData and CDS outputs so responses trace back to source documents
• Add natural-language query and summarization on top of finance and operations data