The AI powered S/4HANA Architect
If you run SAP you probably have a few big questions
How do I understand what's new and different in S/4HANA so I can build a compelling business case?
We've already moved to S/4HANA, which new functionality I can exploit for business value?
How do I educate myself and my team on S/4HANA so that we're less dependent on external consultants?
See S4SensAI in action
S4SensAI is built to address your big S/4HANA knowledge gaps
What functionality is new in S/4HANA for Accounts Payable?
Which new Fiori Apps can I use in inventory management?
What are the business benefits of S/4HANA in finance?
Write me an interface spec to synch business partners with Coupa
How do I configure credit checking in S/4HANA?
How do I move from Storage Locations to Plants with a Config guide & costed plan.
How can S/4HANA help me reduce my DSO?
What can S/4HANA do to reduce spares cost for a Utility company?
Accelerate design workshops and reduce your SAP project schedule by up to 40%.
S4SensAI costs less than one SAP contractor but has the knowledge of 20 experts.
Level up your internal knowledge and become more self-sufficient.
BOOK A DEMO
How is S4SensAI different to standard AI?

The story behind the tech...
Resulting is the world's best loved independent SAP consultancy. We've helped more than 50 large SAP customers plan their move to S/4HANA including gaining exec buy-in with business cases for up to $100m.
In 2017 we started building our own S/4HANA knowledge platform using GraphDB technology (a building block of AI) meaning we accidentally started creating our own SAP LLM nearly a decade ago which became the foundation for S4SensAI.
Our consultants have been using and refining it on large S/4HANA projects ever since.
In 2026, we decided to release S4SensAI to SAP customers. 
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FAQ
S4SensAI is a digital SAP architect
An AI engine built specifically for SAP S/4HANA, RISE, and Cloud Private Edition. It interprets Simplification Lists, Scope Items, Fiori Apps, and SAP roles to accelerate transformation planning and readiness.
Unlike generic AI models, S4SensAI isn’t trained on internet text - it’s trained on SAP’s own Simplification Lists, Scope Items, and RISE documentation, plus over 8 years of Resulting IP.
Where ChatGPT “talks about” SAP, S4SensAI understands and structures it.
No installation is required. S4SensAI runs in a controlled environment and can operate entirely from your browser. It uses structured data and secured documents - not live system connections - so setup is near-instant.
No. S4SensAI doesn’t access production or sandbox systems. It analyses reference documentation and configuration data, meaning your system landscape remains completely untouched and secure.
S4SensAI uses an isolated, zero-retention architecture, no customer data is stored, shared, or reused. Every query is processed within Resulting’s secure environment, ensuring confidentiality, compliance, and traceability.
It adheres to strict enterprise-grade controls - aligned with GDPR requirements and Resulting’s own internal data governance standards. Unlike open AI tools, S4SensAI never transmits knowledge or customer information to external networks. All processing happens within a controlled, zero-retention environment.
It’s designed for SAP project teams, PMOs, architects, and consultancies preparing or executing S/4HANA migrations. Users leverage it for simplification analysis, scope alignment, RISE role mapping, and upgrade readiness.
S4SensAI automates weeks of manual effort - instantly mapping Simplification Items, identifying impacts, and producing structured readiness outputs. Teams using it have reported up to 60% time savings during planning phases.
By automating dependency checks, documentation, and validation, S4SensAI dramatically reduces consulting hours and rework. It’s the equivalent of having a digital SAP architect on tap - without the traditional consulting cost curve.
No. It amplifies them.
S4SensAI gives your team instant access to SAP’s collective intelligence so they can focus on higher-value design and delivery, not repetitive research and cross-referencing.









