Application Modernisation in the SAP Landscape: Choosing the Right Pathway to Success
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Key Takeaways
⇨ While 55% of organisations have initiated SAP S/4HANA deployments, the complexity of legacy system migrations has left many struggling to complete their full transition.
⇨ Implementing an agility layer with Appian’s Data Fabric allows SAP teams to orchestrate business processes and extend existing platforms without the operational disruption of a complete rip-and-replace.
⇨ As the market shifts from AI experimentation to deployment in 2026, integrating agentic automation with strict governance ensures secure, efficient operations across customised SAP landscapes.
SAP ERP modernisation is a key agenda item this year for organisations still wrestling with legacy systems, sprawling application portfolios, and the relentless pressure to adopt AI. Appian’s recent webinar, Application Modernization: Choosing the Right Pathway to Success, tackled this challenge head-on, offering a practical framework to accelerate modernisation journeys without sacrificing control or business continuity.
Its timing could not be more pressing. According to SAPinsider’s ERP Migration and Transformation 2026 benchmark report, while 55% of organisations have deployed SAP S/4HANA, only 34% indicate they have completed a full transition. These statistics provide a stark illustration of the complexity involved in migrating from legacy systems. Simultaneously, SAPinsider’s Technology Leaders’ Strategic Agenda for 2026 report found that 70% of SAP community respondents identified increasing operational efficiency and reducing costs as their top priority this year. Modernisation is the lever that connects both imperatives.
The ERP Challenge
This perspective resonates deeply in SAP environments, as SAP S/4HANA migrations are accelerating, driven by the end of mainstream maintenance for legacy ERP in 2027 and the growing demand for generative AI capabilities. Yet, the transition is rarely clean or complete.
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Appian argues that organisations do not have to choose between speed and stability. An agility layer built on top of existing systems of record, such as SAP ERP or S/4HANA, can decouple the business experience from the underlying systems, enabling continuous improvement without operational disruption.
James Lee, Senior Director Product Marketing at Appian, noted during the webinar, “Doing a rip and replace of an ERP is a monstrous undertaking, but there’s a lot of advantage to building around the ERP. An approach like an agility layer could help in extending that underlying ERP, or even to have the agility layer serve as a new front end while you modernise the ERP behind the scenes.”
The Agility Layer
The agility layer that Lee described is an abstraction between systems of record and the people doing the work. Appian delivers this through:
- Data Fabric: which unifies data from multiple systems, including SAP, into a single operational ontology without requiring a full migration
- Process Orchestration: which manages end-to-end workflows across departments, baking compliance into the process itself.
For SAP organisations managing complex, highly customised landscapes, this approach offers a way to modernise incrementally rather than attempting a wholesale system replacement.
AI Acceleration and Continuous Improvement
Lastly, AI has accelerated the need for modernisation. Lee pointed to Appian Composer as an example during the webinar. Launched in March 2026 as the vehicle for AI-augmented delivery, Appian Composer enables business and IT teams to collaboratively define requirements, generate functional application plans, and forward-engineer working applications with low-code. The roadmap for the rest of 2026 connects Composer to Appian’s Process HQ intelligence layer, creating a feedback loop in which process bottlenecks automatically surface opportunities for improvement and trigger application changes.
This aligns with a broader market reality presented by IDC, which projects that by 2027, agentic automation will enhance capabilities in over 40% of enterprise applications. Therefore, for SAP professionals deploying AI within SAP S/4HANA or extending SAP Business Technology Platform (BTP), governance remains critical. As Lee concluded, organisations need the ability to progress through levels of human supervision over AI agents before moving to straight-through execution.
What This Means for Mastering SAP Insiders
Extension beats replacement in an organisation’s modernisation journey for now. Given the complexity of SAP landscapes and the fact that only 34% of organisations have fully completed their SAP S/4HANA transition, building an agility layer around existing SAP systems offers faster ROI and lower risk than a full rip-and-replace. Appian’s framework treats the ERP as a system of record to orchestrate around, not necessarily to replace.
Although Data Fabric is not a data lake, they work together. For SAP customers managing large data volumes across multiple systems, Appian’s Data Fabric approach can unify operational data from SAP and non-SAP sources in real time without displacing existing data lake investments. The two are complementary, not competitive.
2026 is the year to operationalise AI with governance built in. With 70% of SAP technology leaders focused on operational efficiency and IDC noting that 2026 is the year organisations must move from AI experimentation to deployment, SAP customers should prioritise platforms that support controlled, supervised AI execution, particularly for mission-critical processes where agentic automation introduces new governance risks.
