Trends in Service-Centric ERP Software

Last month, our CFO asked me a question that changed everything: "Why are we still manually approving purchase orders when AI can predict what we need before we know it ourselves?" That's when I realized: ERP isn't dead. It's evolving into something entirely different. Traditional ERP implementations take 18-24 months. By 2025, AI agents will reshape demand for software platforms, filling gaps in existing ERPs. We're not just upgrading systems anymore. Old ERP: Manual data entry, batch processing, reactive reports Intelligent ERP: Predictive analytics, real-time insights, proactive decisions This is what happened when we implemented AI-powered ERP modules: Supply Chain: Predicts shortages 3 weeks ahead leading to reduction in stock-outs Finance: Auto-categorizes 95% of transactions HR: Identifies flight risk employees 6 months early SMBs can't afford 18-24 month implementations. They need quick wins from cloud-first ERP systems. 2025 is a landmark year for SaaS as AI takes the driver's seat. Companies still running on legacy ERP are like horses racing against Formula 1 cars. QUICK ROADMAP THAT WORKS 1. Audit Current State - What processes scream for intelligence? 2. Start Small - Pick one module, prove ROI 3. Scale Fast - Expand to connected processes 4. Measure Everything - AI without metrics is just expensive software Your ERP strategy today determines your market position tomorrow. #ERPTransformation #AIinBusiness #DigitalTransformation #IntelligentERP #BusinessAutomation Epicor

For decades, CASS (Centralized Administrative Shared Services) have been built on a clear service taxonomy. Procurement. Finance & Accounting. Customer Operations. Tax & Treasury. HR. Inside these functions sit well-defined processes: P2P. R2R. O2C. FP&A. Vendor Management. Contract Management. The idea was simple: Standardize → centralize → reduce cost. That model built the modern shared services industry, now a $300B+ global market. Yet the pain points remain familiar: • fragmented data across ERP, CRM, procurement systems • month-end close still takes weeks • vendor & contract risks discovered too late • thousands of workflows but very little intelligence Shared services became efficient process factories, but not intelligent systems. The shift happening now Think about computing before operating systems. Software existed as isolated applications. Then Windows, Linux, iOS introduced an OS layer that coordinated everything. It didn’t replace applications — it orchestrated them. Enterprises now face the same moment with AI. They don’t just need more AI tools. They need an AI Operating System that orchestrates intelligence across the service taxonomy. What this looks like Procurement → AI agents monitor supplier risk and contract exposure. Finance → Financial close agents detect reconciliation gaps. Customer Operations → Order intelligence agents detect billing or pricing anomalies. Tax → Compliance agents monitor regulatory exposure. The service taxonomy doesn’t disappear. It becomes the structure where intelligence runs. ERP systems like SAP / Oracle record transactions. They were never designed to reason across processes. Without orchestration, AI becomes tool sprawl. The next evolution of shared services is clear: Service Taxonomy → Intelligent Service Operating System At SimplAI, we see this emerging across enterprises — AI agents operating across P2P, O2C, R2R, FP&A, orchestrating decisions while maintaining governance and compliance. Shared services are no longer just about efficiency. They’re becoming the intelligence backbone of the enterprise. #EnterpriseAI #SharedServices #AgenticAI #DigitalTransformation #AIOS Manish Bharti SimplAI

In the latest version of Gartner's Magic Quadrant for Service Centric Enterprises, Oracle has once again been recognized as the leader in the field. Gartner highlighted several key aspects of Oracle: -Technology Platform: Oracle excels in application and data integration through Oracle Integration Cloud (OIC), alongside extension development and AI-enabled capabilities via the Oracle Cloud Infrastructure (OCI)-based platform strategy and the evolving Redwood User Experience. - Market and Product Positioning: Oracle Fusion emphasizes process standardization in its recommended implementation journeys, aiding customers in transformative cloud initiatives. The Oracle True Cloud Method provides a standardized approach that integrates Oracle Guided Learning with accelerators, offering recommendations directly within the application during implementation. - AI and Agent Studio: Oracle has introduced GenAI and agentic AI use cases across the Fusion portfolio, with over 1,000 customers reportedly utilizing these in production. The new AI Agent Studio allows customers to create custom agents or enhance prebuilt templates, including testing agent behaviors before production and orchestrating multiagent workflows for more complex scenarios.

Most organisations are still asking the wrong question about their next ERP / CRM move. For 20+ years the discussion was: “Which suite do we standardise on?” In an AI- and agent-driven world, the real question becomes: Where will our core processes and data actually live – in suites, in platforms, or in agents? Two weeks ago I walked through this topic with ~200 CIOs and program directors at an Eswelt event. In my new newsletter I go a level deeper and outline three futures for ERP & CRM that are already emerging: 1.      AI-Augmented Suites ERP and CRM remain the system of record. Vendors add copilots and embedded AI to optimise existing processes. 2.      Thin Core, Agentic Front End ERP/CRM become transactional backbones. An agentic workflow layer sits on top and orchestrates end-to-end journeys across systems. 3.      The Agentic Enterprise Core facts live in event streams, ledgers and data platforms. Agents and composable services handle most of the business logic. ERP/CRM are no longer products you “buy” – they’re behaviours of your architecture. For the C-suite this is not a tooling discussion. It’s about three design choices that will shape the next 10 years: - Where your operational data really lives - Where your business logic runs - Where your money flows (licences vs. cloud data and AI consumption) In the newsletter I map out the main players (SAP, Microsoft, Salesforce, Oracle, Workday, ServiceNow, Pegasystems, UiPath, Snowflake, Databricks, the hyperscalers; Amazon Web Services (AWS), Microsoft Azure, Google Cloud and AI-native challengers; Rillet, ContextERP) and what each option means if you start from a legacy landscape. Curious which path you’re leaning into today – and whether your architecture matches your ambition. Subscribe to my newsletter - Best of Digital Transformation - now for exclusive strategies and insights. Want more? Explore in-depth articles and resources at: https://lnkd.in/gYrphjim #DigitalTransformation #AI #ERP #CRM #CIO #CFO #EnterpriseArchitecture

 Strategic Deliverables for SAP Services in 2026 1. Cloud & Subscription Growth Cloud revenue remains a core growth driver — SAP reported strong cloud revenue growth and is targeting continued momentum into 2026, reflecting a strategic shift from perpetual licenses to subscription-based cloud services. Deliverables include: Expansion of RISE with SAP adoption as a transformation framework. Enhanced cloud ERP offerings (e.g., S/4HANA Cloud and Business Cloud ERP). Broader cloud ecosystem growth via multi-cloud support and sovereign cloud options (including SAP-managed on-site cloud capabilities). 2. AI-Driven Innovation and Automation Embedded AI and automation is a major focus for 2026 — with AI (e.g., SAP Joule) moving from “optional” to inherent in SAP applications across finance, supply chain, HR, and ERP workflows. Expect deliverables such as: AI copilots and Joule agents that automate repetitive tasks and support decision-making. 3. S/4HANA Cloud and Digital Core Modernization The S/4HANA Cloud roadmap is central to SAP’s 2026 strategy: Clean core principles — minimizing custom code while using extensions on BTP. Continuous innovation via twice-yearly cloud releases and industry-specific capabilities. Accelerating customer migration from ECC to S/4HANA to meet the 2027 migration horizon. 4. Business Technology Platform (BTP) as Innovation Backbone BTP is positioned as the foundation for extensibility, integration, and data-centric innovation: Unified services for analytics, AI/ML, and integration. Low-code/no-code tools empower citizen developers to build automation and extensions. Deliverables & expectations for BTP include: Broader adoption and education frameworks to reduce skills gaps. 5. Evolved SAP Services & Support Engagements SAP is revamping its services portfolio to simplify and increase value: Simplified, tiered engagement models launching early 2026. Operational & Market Growth Priorities 6. Partner Ecosystem Enablement SAP partners are capitalizing on the trends as well, given expected demand for integrated solutions, enhanced customer outcomes, and industry-ready accelerators. Participation in programs like the SAP Innovation Awards 2026 highlights partners that deliver data integration, process optimization, automation, and scalable solutions — reinforcing partner-led growth. Deliverables for partners typically include: Pre-configured industry solutions. Reusable accelerators for migrations and BTP extensions. Outcome-based service offerings aligned to SAP’s strategic priorities. 7. Market & Customer-Centric Growth SAP’s financial outlook points to continuing acceleration in: Cloud growth, reinforcing recurring revenue models. Business Data Cloud adoption, strengthening analytics and data governance. Broadening vertical adoption in sectors like utilities (e.g., tailored road maps for utility customers). Executive Contact: rardiablo@gmail.com

ERPs will look much different in 10 years. The architecture is shifting from a single, centralized system to a distributed network of connected services, models, and intelligent agents. Instead of one platform managing every process, we’ll see orchestration layers that integrate specialized tools and data flows in real time. Microsoft has already hinted at this direction. The real value is moving toward interoperability, where systems understand not just data, but purpose. Finance, HR, and operations will continue to share a common data foundation, but interaction will change completely. We’ll query systems, not navigate them. Agents will anticipate needs, not wait for inputs. And governance will define success more than functionality. For CIOs, this means preparing for a decade defined less by platforms and more by coordination. Owning the stack will matter less than aligning it.