Why finance teams must own the ERP modernisation agenda

Many finance teams running SAP ERP Central Component (SAP ECC) recognise that ERP modernisation is necessary and understand it will encompass more than a migration of data and configurations to a new system. However, they struggle to translate that urgency into a clear, executable plan. Existing customers are understandably focused on minimising operational risk while ensuring continuity of critical financial operations. The end of mainstream maintenance for SAP ECC in 2027 is also a prime motivator in modernising the business and IT landscape. At the same time, finance leaders must prepare their teams for change while understanding how AI can support their ERP modernisation and begin delivering value before go-live.

Finance must set the ERP modernisation agenda because these decisions define how financial data is structured, how processes operate and how controls are enforced across the enterprise. When finance teams take ownership, they ensure that transformation delivers measurable outcomes: faster access to accurate insights, reduced manual effort across core processes, stronger audit readiness and improved operational visibility.

Ultimately, ERP modernisation is where finance defines its future operating model. It establishes the unified foundation required to automate routine work, strengthen compliance and support continuous innovation—positioning finance to operate as a driver of business strategy and enabling scalable finance transformation.

What finance teams are moving from—and what comes next

Finance teams are transitioning away from SAP ECC environments that have evolved over many years to meet business needs—but often at the cost of increasing complexity. 38% of SAP organisations reported this year that they’ve prioritised modernising or eliminating customised processes to streamline transition and improve agility for future updates.¹

Investing time and budget into maintaining overly-complex legacy systems, in addition to growing maintenance costs, creates a widening gap between what finance is expected to deliver and what legacy ERP environments can realistically support. This gap also begins to separate organisations that can act on real-time insights and those that cannot.

SAP Cloud ERP Private, delivered through the RISE with SAP Methodology, expert guidance and AI-assisted tooling, closes the gap by providing a modern, managed environment designed for continuous innovation while reducing total cost of ownership. In a recent Forrester Total Economic Impact™ study, a composite organisation realised $7.5 million in reduced costs over three years by phasing out its on-premises data centre, underscoring the material financial impact of moving from legacy ERP environments to SAP Cloud ERP Private.² In addition to reducing costs, SAP Cloud ERP Private protects your earlier investment by connecting applications, processes, data and governance into a unified, real-time operational foundation. This supported approach enables finance teams to move beyond fragmented systems toward integrated end-to-end operations that increase visibility and boost productivity. But the benefits of modernising your ERP platform begin before go-live. With new AI-assisted, agent-led transformation capabilities, organisations can potentially reduce overall ERP migration effort by more than 35%, while enabling faster and more predictable migrations.³ Finance leaders are increasingly turning to faster, more intelligent modernisation technology. 20% of SAP organisations surveyed this year have used automated code-remediation tools to support ERP modernisation and transformation.⁴

While the journey itself is inherently complex, it doesn’t need to feel unmanageable. RISE with SAP provides a guided, phased approach that simplifies decision-making, aligns stakeholders and helps maintain operational continuity throughout the transition.

A successful enterprise transformation requires a practical guide that finance leaders can follow, with built-in support and intelligent workflows. The organisations that modernise their ERP foundation early are better positioned to adopt and scale AI capabilities in a governed, trustworthy way, gaining a clear advantage in how quickly they can respond to change and execute insight.

A step-by-step road map for modernising with SAP Cloud ERP Private

The SAP ERP modernisation road map provides a structured, phase-by-phase approach for moving from SAP ECC to cloud ERP, while showing how RISE with SAP Methodology and the agent-led toolchain and its embedded capabilities, provide guidance and stability at each step. The goal is to help finance teams execute transformation with clarity and control—reducing operational risk while establishing a foundation for continuous improvement, innovation and long-term business value after go-live.

Whether building an ERP modernisation programme or looking to course-correct an existing one, finance leaders can use this step-by-step guide to:

• Structure their modernisation into clear, manageable phases with defined outcomes.
• Reduce risk through proven methodology and AI-assisted tooling.
• Accelerate the transition to AI-powered and intelligent financial operations.

Step 1: Discover and assess

Finance leaders kick off this phase by creating a clear, fact-based understanding of the current finance landscape and candidly assessing current system inefficiencies, manual work and data issues. For example, they should identify where:

• Manual reconciliation work is slowing down the close.
• Reporting is lacking consistency.
• Compliance processes are relying too heavily on workarounds.

Finance teams take an active role by evaluating record-to-report, order-to-cash and procure-to-pay processes, identifying inefficiencies and areas of operational risk. They begin reviewing master data quality, open transactions and reconciliation gaps, while also documenting dependencies between finance and other business functions. This work is supported by RISE with SAP tools such as SAP Readiness Check, SAP Signavio Process Insights and SAP LeanIX, which provide detailed system diagnostics and process benchmarking.

AI and automation begin to add value even at this early stage. Process mining identifies bottlenecks and variation across workflows, while AI highlights anomalies in financial operations data that would be difficult to detect manually. Joule enhances this further by enabling finance teams to access these insights in a more connected way, bringing together process analysis, system data and contextual explanations within a single interaction layer. The outcome of this phase is a clear baseline: defined risks, quantified inefficiencies and aligned transformation objectives. Finance leaders leave this stage with a shared understanding of where they are today and what must change to support faster close cycles, improved reporting accuracy and scalable operations.

Step 2: Design and align

In this phase, finance leaders define the future state of their organisation. This is where the ERP modernisation shifts from analysis into decision-making and where the most important architectural and operational choices are made. The decisions taken here determine whether the organisation will replicate existing complexity or fundamentally simplify and modernise how finance operates.

A key principle introduced during this phase is the clean core approach, which standardises non-differentiated processes while enabling controlled extensions, allowing organisations to adopt innovations, including AI-powered capabilities, without reintroducing complexity.

Finance teams work closely with IT and business stakeholders to redesign processes using fit-to-standard principles. They define chart of accounts structures, reporting models and governance frameworks while aligning workflows across close, reconciliation and compliance. These decisions are supported by SAP Signavio and structured RISE with SAP workshops further outlined in the ERP modernisation playbook.

Joule becomes more visible in this phase as a unified interaction layer across applications and processes. It allows finance teams to explore design scenarios, access process insights and understand the implications of decisions within a connected context. Instead of reviewing static outputs, users can interact with data, simulate process impacts and guide decisions through a single-entry point that connects insight to action—enhancing decision-making.

The outcome is a clearly defined target operating model. Processes are standardised, governance is embedded and the organisation is aligned on how finance will operate in the cloud. This phase determines whether the system will scale efficiently and support continuous innovation.

Step 3: Prepare and build

This phase is where the transformation becomes operational. Systems are configured, data is prepared and integrations are built. It is also where the accumulated complexity of the legacy environment, especially around data and customised code, is actively resolved.

Finance teams transition from planning to execution. They cleanse and harmonise financial data, close legacy transactions and establish master data governance. This work is critical, as data quality directly affects reporting accuracy, system performance and future finance automation outcomes.

RISE with SAP provides a structured toolchain including the SAP S/4HANA migration cockpit, SAP Data Services and Customised Code Migration tools. These capabilities standardise ERP modernisation tasks, reduce manual effort and improve consistency across accounts payable and other core finance functions.

AI plays a central role by detecting inconsistencies, validating large datasets and identifying anomalies during modernisation efforts. Joule supports this phase by surfacing relevant information, connecting related tasks and helping users understand dependencies across system configuration, data preparation and integration work.

The outcome is a configured system with clean, validated data and structured integrations. Finance teams move forward with confidence that their environment reflects the intended operating model.

Step 4: Test and validate

Testing ensures that finance operations will function reliably under real-world conditions. For finance teams, this phase is where they begin validating financial accuracy, compliance and operational continuity—not just technical functionality.

Finance users test end-to-end scenarios including close, consolidation and reporting. They verify postings, reconciliations and outputs to ensure regulatory and audit requirements are met and aligned to governance practices.

SAP Cloud ALM provides structured test management, while automation increases coverage and reduces manual effort. AI improves efficiency further by generating test cases and identifying inconsistencies in results.

Joule continues to provide value during validation by helping users interpret results, investigate issues and navigate complex testing scenarios. Instead of reviewing large volumes of test outputs manually, finance teams can analyse issues in context, connect affected processes and take corrective action more quickly.

This significantly reduces the time spent on manual review while improving confidence in results. It also reinforces the importance of clean data and standardised processes, which are essential for reliable AI outcomes in production.

The outcome of this phase is confidence in system integrity. Finance leaders know that processes, data and controls are working as expected before go-live.

Step 5: Deploy and go live

Go-live marks the transition from implementation to live operations. This phase requires careful execution to ensure business continuity while migrating to the new system.

Finance teams manage cutover activities including final data migration, validation of balances and monitoring initial transactions. Accuracy and co-ordination are critical, as errors at this stage can affect reporting and compliance. RISE with SAP provides structured deployment and SAP-managed infrastructure, reducing operational burden and improving stability.

AI enhances this phase through real-time monitoring and anomaly detection. Joule further supports by connecting system insights, operational data and issue resolution workflows. Users can access information, navigate processes and respond to issues within a unified environment rather than switching across tools. This improves response times, reduces confusion and helps maintain control during a high-risk phase.

The outcome is a stable transition to SAP Cloud ERP Private, with finance operations running in a real-time, integrated environment.

Step 6: Operate, optimise and expand

After go-live, the focus shifts to continuous improvement and scaling value. Finance teams stabilise operations, refine processes and expand automation across workflows.

This phase is where organisations begin to fully realise the Autonomous Enterprise, where people define direction while AI co-ordinates execution across processes.

Joule becomes the primary interaction and orchestration layer across finance operations. It enables users to access insights, trigger workflows and co-ordinate actions across applications using natural language. Rather than navigating separate systems, users operate within a unified environment where data, processes, assistants and agents are connected in real time.

AI assistants and agents now operate directly within finance workflows. Assistants bring together relevant context for specific roles, while agents execute multi-step processes including reconciliation, anomaly detection and compliance monitoring, aligning with best practices in AI risk and compliance.

For example, financial close activities are accelerated through automated postings and reconciliations, while AI identifies issues early and resolves them through guided workflows. Planning and forecasting become continuous processes, supported by scenario planning capabilities.

The outcome is a finance function that operates with greater speed, accuracy and adaptability. Processes are increasingly automated, insights are delivered continuously and organisations can respond to change with confidence.

How does SAP Cloud Infrastructure compare to hybrid on-premises ERP and IaaS solutions? It outperforms them by combining infrastructure, operations and support into a single SAP-managed service, offering:

• A single point of ERP accountability.
• Integrated lifecycle management, monitoring and operations aligned with SAP workloads.
• Built-in resiliency, security and compliance capabilities managed as part of the service.
• A foundation for scaling innovation and AI-enabled business processes without increasing infrastructure management overhead.

As a result, finance teams can focus more on process optimisation and business outcomes while maintaining a stable, agile and continuously evolving ERP environment.

How AI value begins before modernisation is complete

For many finance teams, one of the biggest misconceptions about ERP modernisation is that AI value only begins after go-live. In reality, SAP Cloud ERP Private enables AI to deliver measurable value throughout the journey, not just at its conclusion.

This is possible because SAP’s approach to AI is fundamentally different. AI-powered capabilities are built on deep process knowledge, semantically rich business data and embedded governance controls, allowing them to operate directly within business workflows rather than as disconnected analytics tools.

How finance teams can use AI throughout their ERP modernisation

Finance teams should approach AI as an embedded execution capability that augments how work gets done, not as a separate analytical layer.

Autonomous Finance is a finance operating model that embodies this approach by enabling AI agents to execute routine processes end-to-end, such as reconciliation, close, payments and compliance monitoring—freeing up finance professionals to focus on higher-value work.

Joule plays a central role in enabling this shift to Autonomous Finance. Rather than acting as a stand-alone tool, Joule serves as a unified interaction and orchestration layer across SAP applications. It connects users to data, processes, assistants and agents within a single, contextual experience—allowing finance teams to move seamlessly from insight to action without switching between systems.

At the same time, AI assistants and agents begin supporting specific finance activities directly within workflows. These capabilities, embedded within SAP Cloud ERP Private, automate routine work such as reconciliation, anomaly detection, financial close activities and compliance monitoring. For example:

• Financial close processes are accelerated through automated journal entries, accruals and reconciliation.
• Accounts receivable processes prioritise collections, resolve disputes and provide predictive cash insights.
• Accounts payable processes validate payments, detect risks earlier and automate clearing activities.
• Tax and compliance processes continuously monitor regulatory changes and automate reporting adjustments.

These capabilities enable finance teams to reduce manual effort, improve data accuracy and focus on strategic activities such as judgement, exception-handling and decision-making.

The ERP modernisation road map at a glance

Step 1: Discover and assess
Finance leaders start their ERP journey here by evaluating current processes, assessing data quality and identifying risks across financial operations. RISE with SAP provides system diagnostics, process insights and expert guidance to establish a fact-based baseline and reduce early-stage uncertainty, supported by structured planning in the ERP migration checklist.

Step 2: Design and align
Next, finance teams define the future operating model, standardise processes and establish governance. RISE with SAP supports fit-to-standard design, process modelling and clean core alignment to ensure scalable finance transformation.

Step 3: Prepare and build
Finance teams cleanse and harmonise data, simplify customised code and prepare systems for migration. RISE with SAP provides structured tools, integration capabilities and AI‑powered validation to accelerate execution and improve data quality.

Step 4: Test and validate
Finance validates financial accuracy, reporting and compliance through rigorous testing. RISE with SAP supports automated testing, lifecycle management and AI-driven anomaly detection to improve coverage and reliability.

Step 5: Deploy and go live
Finance executes cutover, validates balances and ensures operational continuity. RISE with SAP provides deployment orchestration, cloud operations and real-time monitoring to reduce go-live risk.

Step 6: Operate, optimise and expand
Finance stabilises operations, expands finance automation and continuously improves processes. RISE with SAP enables continuous innovation, lifecycle management and embedded AI capabilities to drive long-term value.

Conclusion: ERP modernisation as the foundation for Autonomous Finance

Finance teams are under increasing pressure to deliver faster insights, maintain compliance and operate more efficiently—all while managing complexity and risk. Many SAP ECC systems, while stable, are no longer able to support these demands at scale. Fragmented data, manual processes and limited real-time visibility make it difficult to keep pace with business expectations and emerging AI-driven capabilities.

This is why ERP modernisation must be led by finance, as their decisions define how financial data is structured, how processes operate and how governance is enforced across the enterprise. These are the foundations that determine whether finance can scale automation, improve decision-making and operate with confidence.

Finance leaders need a practical road map to execute that transformation, outlining what needs to happen at each phase, how to structure the work and how to reduce operational risk through a disciplined approach. RISE with SAP, Joule and Autonomous Finance capabilities actively support finance teams throughout the modernisation journey. From analysing processes and validating data to automating testing and accelerating execution, these capabilities help improve outcomes at every step.

The result is more than a system upgrade. It is a transformation that establishes the operational foundation for modern finance—where applications, data, governance and AI work together in a unified, real-time environment. This foundation enables finance teams to reduce manual effort, improve compliance readiness, accelerate financial close cycles and scale AI across the enterprise.

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