ERP requirements checklist: define what the business actually needs

What this guide helps you decide

This guide helps a growing organization convert operational problems into testable ERP requirements. It explains what to collect from process owners, how to separate essential scope from preference, and how to evaluate a system against complete scenarios rather than polished feature demonstrations.

Requirements become unreliable when each department submits an isolated wish list. Purchasing may request approvals, warehouse teams may request barcode receiving, and finance may request accurate accruals, yet the real requirement is the connected transaction and its control points. The checklist must preserve those dependencies.

Start with outcomes and operating constraints

Define why the organization is considering ERP: reduce stock discrepancies, shorten month-end close, improve production planning, remove duplicate entry, or support growth without proportional administration. Attach a baseline and target to each outcome so priority is visible.

Document volumes, locations, legal entities, currencies, operating calendars, peak periods, connectivity limits, and regulatory constraints. These boundaries affect architecture and configuration even when they are not visible in a normal feature list.

Practical checks

• Name an owner and KPI for every desired outcome
• Record current transaction volumes and expected growth
• Identify non-negotiable legal or operational constraints
• Separate launch requirements from later improvements

Map end-to-end workflows

Describe the sequence from trigger to financial and operational completion. A purchase requirement may become a purchase order, partial receipt, supplier invoice, landed-cost allocation, payment, inventory value, and general-ledger posting.

Include corrections and partial states. The difficult requirement is rarely creating a clean transaction; it is handling a short shipment, price variance, returned item, cancelled order, duplicate record, failed integration, or posting correction without losing traceability.

Practical checks

• Use real examples from each department
• Include partial, reversed, rejected, and corrected transactions
• Identify handoffs between roles and systems
• Define the final record and report produced

Define master data and ownership

List the records that make transactions dependable: products, units, warehouses, customers, suppliers, accounts, employees, BOMs, routings, tax settings, prices, and dimensions. For each record, decide who creates it and who can change sensitive fields.

Quality rules should be explicit. Duplicate detection, required identifiers, unit conversions, effective dates, status, validation, and approval are requirements, not cleanup tasks to discover after migration.

Practical checks

• Assign a system of record for every master dataset
• Specify mandatory fields and validation rules
• Define approval for financially sensitive changes
• Plan duplicate prevention and archival

Specify roles, approvals, and audit evidence

Translate job responsibilities into least-privilege access. Menu visibility alone is insufficient; services and APIs must enforce the same authorization. Identify segregation-of-duty concerns and emergency access procedures.

For approvals, state the object, threshold, routing rule, delegate behaviour, escalation, rejection path, and evidence retained. Audit requirements should identify which changes must show old value, new value, actor, time, and reason.

Practical checks

• Create a role-to-task matrix
• List monetary and risk-based approval thresholds
• Define delegated and emergency access
• Specify searchable audit events

Make reporting requirements traceable

Replace requests for a generic dashboard with named decisions. A low-stock report needs a definition of available quantity, time horizon, warehouse scope, excluded statuses, and the action expected from the viewer.

Every KPI needs a formula, source fields, refresh expectation, filters, drill-down path, and owner. Finance reports also need reconciliation rules so totals can be traced to journals and source transactions.

Practical checks

• Write the formula for each KPI
• Identify the action a report should trigger
• Require drill-down to source records
• Define reconciliation and period cut-off behaviour

Cover integrations and failure recovery

Inventory every inbound and outbound connection, including accounting, ecommerce, banking, shipping, payroll, CRM, identity, and reporting services. State data ownership, direction, frequency, volume, authentication, and acceptable delay.

Requirements must explain failure. Decide how users see rejected records, how retries avoid duplicates, how identifiers are correlated, who receives alerts, and how reconciliation proves completeness.

Practical checks

• Name the owner on both sides of each interface
• Define idempotency and duplicate handling
• Specify monitoring, alerts, and retry rules
• Include reconciliation totals and recovery tests

Plan migration, testing, and cutover

Define which historical data is necessary for operations, reporting, compliance, and comparison. More history is not automatically better; poor data can increase cost and risk without improving decisions.

Acceptance testing should follow representative workflows using migrated data and real roles. Rehearse cutover, reconcile opening balances and quantities, document rollback criteria, and assign hypercare ownership.

Practical checks

• Classify data as migrate, archive, cleanse, or exclude
• Run at least one full migration rehearsal
• Test permissions and end-to-end scenarios
• Define reconciliation sign-off and rollback criteria

Prioritize with evidence

Use must, should, could, and later only after dependencies are understood. A small requirement may be essential because it closes a control gap, while a visually impressive dashboard may have little launch value.

Score fit as standard, configurable, integrated, customized, or unavailable. Record evidence from demonstrations and prototypes so selection decisions do not depend on memory or sales language.

Practical checks

• Weight requirements before vendor scoring
• Require evidence for every claimed fit
• Estimate lifecycle cost for non-standard work
• Keep a decision log with assumptions

Separate requirements from a software feature list

“Has purchasing” is not a requirement. A testable statement explains who raises a request, which threshold needs approval, how a supplier and price are selected, what happens on partial receipt, how an invoice discrepancy is resolved, and which accounting record results. This lets evaluators compare behaviour instead of counting menu items.

Write each material requirement with an owner, business reason, priority, source process, normal scenario, exception, input data, expected result, permission, report effect, and acceptance evidence. Mark assumptions and unresolved decisions separately. A requirement should not appear mandatory merely because one person prefers the current screen layout.

ERP functionality checklist by connected workflow

Add technical and non-functional requirements

Functional fit is incomplete without identity, authorization, audit, privacy, availability, backup, recovery, accessibility, performance, integration, export, retention, deployment, monitoring, and support. State the operating condition rather than using adjectives. “Fast” should become an expected response time and transaction volume for a named task. “Secure” should become specific access, logging, encryption, recovery, and review expectations.

• Users, roles, segregation of duties, delegated authority, and emergency access.
• API, file, identity, payment, e-commerce, banking, and other integration boundaries.
• Peak users, transaction volumes, batch windows, report timing, and growth assumptions.
• Canadian privacy, tax, payroll, retention, data-location, and accessibility needs where applicable.
• Backup scope, recovery objectives, business continuity, monitoring, and incident communication.
• Source ownership, configuration export, documentation, support, upgrades, and transition rights.

ERP requirements are not the same as ERP readiness

A company may know what it needs but still lack the owners, clean data, decision capacity, budget, implementation time, training plan, or change readiness to deliver it. Assess sponsorship, process ownership, data quality, internal subject-matter availability, integration knowledge, reporting definitions, project governance, and the ability to make scope decisions.

Record readiness gaps beside the requirements they threaten. If product identifiers are inconsistent, inventory migration and availability reporting are at risk. If approval authority is disputed, configuration cannot be finalized. Treat this work as part of implementation planning rather than assuming the vendor will resolve organizational decisions alone.

Prioritize and maintain traceability

Use a small set of priority definitions with consequences. A mandatory requirement should be tied to a legal obligation, material control, essential operation, or approved business outcome. A high-value requirement may be scheduled after launch if a controlled temporary procedure exists. Nice-to-have items should not crowd out data, testing, training, and support.

Link each accepted requirement to design, configuration or development, test evidence, release, and operating documentation. When scope changes, preserve the decision, reason, impact, approver, and new acceptance boundary. This traceability supports procurement and also prevents the checklist from becoming obsolete after vendor selection.

Evaluate Simor ERP with representative scenarios

Simor ERP provides connected purchasing, sales, inventory, manufacturing, costing, accounting, banking, tax, payroll, access control, licensing, and audit capabilities. Simor Soft can demonstrate the working product and discuss which requirements fit configuration, which need integration, and which justify customization.

Bring a small set of difficult transactions rather than only a module checklist. Include a partial receipt, price or invoice discrepancy, transfer, count variance, customer return, production exception, payment application, period lock, permission denial, and required management report. Observing these scenarios gives stakeholders stronger evidence and creates a clearer implementation scope.

Questions to bring to discovery

• Which three operational results justify the ERP investment?
• Which exceptions consume the most manual effort today?
• What data must be trusted on the first day of production?
• Which controls could create financial or customer risk if omitted?
• How will acceptance be demonstrated by real users?

Next step

Use the checklist as a living decision record. Reduce it to a staged release only after the connected workflows, controls, data, and reporting consequences are understood.

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