SAP's clean core principle has been discussed for years, but with the advent of SAP Business Data Cloud and AI capabilities, it has taken on new urgency. A clean SAP core is no longer just a technical best practice — it is a prerequisite for activating AI and innovation at speed.
What Does Clean Core Mean?
Clean core means keeping your SAP system as close to standard as possible, with minimal custom code, and using SAP BTP for all extensions and customisations. The principle has four dimensions:
- Process: Using SAP standard processes rather than custom-built alternatives
- Data: Maintaining clean, governed master data with consistent definitions
- Integration: Using SAP Integration Suite for all integrations rather than point-to-point connections
- Extension: Building all custom functionality on SAP BTP using the Cloud Application Programming Model (CAP)
Why Clean Core Matters for AI
Upgrade Agility
SAP's AI innovations — Joule, predictive analytics, generative AI capabilities — are delivered through regular cloud updates. If your SAP system is heavily customised, you cannot adopt these innovations quickly because every update risks breaking your custom code. Clean core organisations can adopt new AI capabilities in weeks; heavily customised organisations take months or years.
Data Quality
AI models are only as good as the data they are trained on. Clean core organisations have cleaner, more consistent data because they follow SAP standard processes with standard data structures. This makes AI model development faster and more reliable.
Integration Simplicity
AI use cases often require combining SAP data with external data sources. Clean core organisations using SAP Integration Suite have governed, documented integration architectures that make it straightforward to add new data sources for AI. Organisations with legacy point-to-point integrations face a much harder challenge.
How to Achieve Clean Core
Step 1: Assess Your Current State
Start with a clean core assessment — cataloguing all custom code, identifying which customisations are genuinely required versus historical workarounds, and quantifying the maintenance burden.
Step 2: Prioritise Remediation
Not all customisations need to be removed immediately. Prioritise based on business impact, upgrade risk, and AI relevance. Focus first on customisations that block AI adoption or create significant upgrade risk.
Step 3: Move Extensions to BTP
For customisations that are genuinely required, rebuild them on SAP BTP using CAP. This keeps the core clean while preserving the business functionality.
Step 4: Standardise Integrations
Migrate point-to-point integrations to SAP Integration Suite, establishing a governed integration architecture that supports both current needs and future AI use cases.
The Business Case for Clean Core
Clean core is not just a technical initiative — it has a compelling business case:
- Reduced TCO: Lower maintenance costs for custom code and integrations
- Faster innovation: Ability to adopt SAP's AI and cloud innovations at speed
- Reduced upgrade risk: Smoother, faster SAP upgrades and updates
- AI readiness: Foundation for activating AI on SAP data
At Aarini, we help clients assess their clean core maturity and develop pragmatic roadmaps to achieve clean core without disrupting business operations. Contact us to learn more.