| Strategic alignment | | Does the ERP environment support the current strategy and the intended future state? | Strategy and target operating model set against the system's scope, organizational structures and product and customer hierarchies | - Strategic objectives with a system-supported process and KPI
- Structures that still mirror the organization before the transformation
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| Process fit | | Do the configured processes reflect how the enterprise should operate? | Process walkthroughs, configuration documents and exception logs | - Variants of each end-to-end process
- Manual steps and workarounds per process
- Customizations that preserve obsolete practice
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| Finance capability | | Does finance get close, consolidation, planning, costing, profitability, cash and capital-expenditure information from the system? | The close calendar, consolidation steps, planning and costing models, cash and working-capital reports | - Days to close
- Share of manual journal entries
- Consolidation and allocation steps performed outside the system
- Product and customer profitability available on demand
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| Data integrity | Critical | Are master data and structures — chart of accounts, entities, cost centers, products, customers, projects — complete, governed and fit for the future state? | Master-data extracts, data-ownership records and dimension usage on transactions | - Duplicate and incomplete master records
- Data owners named for each object
- Transactions carrying complete dimensions
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| Management reporting | Critical | Can leadership obtain the information its decisions need, on time, from the system of record? | The board and management packs, traced back to their sources | - Share of the management pack assembled outside the system
- Time to answer a standard management question
- Reconciliation effort between reports
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| Control environment | Critical | Are authorization, approvals, audit trail and segregation of duties appropriate? | Role and authorization design, approval workflows, audit findings | - Segregation-of-duties conflicts
- Approval workflows that match current decision rights
- Open audit findings related to the system
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| Automation | | Which manual processes exist that need not? | Volumes and touchpoints in high-volume processes | - Manual touchpoints per thousand transactions
- Automated matching, approval and posting coverage
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| Integration | | How well does the ERP exchange data with CRM, payroll, banking, procurement, planning, analytics and industry systems? | The interface inventory, failure logs and reconciliation breaks | - Manual interfaces and file transfers
- Reconciliation breaks between systems
- Interface failures per month
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| User adoption | | Are people working inside the system, or around it in spreadsheets and shadow systems? | Usage of key transactions, interviews and an inventory of shadow tools | - Shadow tools in critical processes
- Use of the system's own transactions for core work
- Training coverage of key roles
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| Scalability and architectural fit | | Is the platform still right for the company's size, complexity, geography, industry, growth, acquisitions and reporting? | Entities, currencies, accounting standards, volumes, edition and license limits, the acquisition pipeline | - Entities, currencies and accounting standards supported natively
- Time to bring an acquired company onto the system
- Performance at expected volumes
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| Transformation readiness | Critical | Can the current environment carry the intended transformation, in the intended order? | The next phase of the transformation set against the system's configurability and release calendar | - Changes the next step needs that the system cannot make by configuration
- Release windows aligned with the transformation's sync windows
- Steps of the plan that wait on the ERP
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| Data, analytics and AI readiness | | Are data, processes and decision rights structured enough for analytics, for the transformation model, and for AI to act safely in workflows? | The data model, process standardization, approval limits and logging | - A consistent data model across entities
- The observations the transformation model needs, available from the system of record
- Standardized processes in the workflows AI would touch
- Approval limits and logging that would bound an agent's actions
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