Enterprise Modernisation Readiness Assessment

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Modernisation readiness is not a technology score. It is evidence that business ownership, architecture, data, delivery, operations and workforce decisions can support controlled change.

Use the questions with the leaders who own the business service, technology estate, data, risk, operations and workforce. Score the current evidence, not confidence in a future plan. Record the source, accountable owner and next decision beside every answer.

Review domain scores separately. A high total does not cancel a critical gap in security, operational continuity or business accountability. The output is a decision register and phased action plan, not a maturity badge.

No shared answer or current evidence.

Partly defined; gaps, conflicts or untested assumptions remain.

Owned, evidenced and used in current decisions.

Record any legal, security, safety, continuity or data-rights gap separately. Resolve or formally accept that risk before the affected scope advances.

• Business service: Is the customer, employee or operational service being changed defined in business terms?
• Decision owner: Does one accountable executive hold the value case, scope and accepted business risk?
• Measurable baseline: Are current cost, service, risk and change constraints defined with named data owners?
• Investment logic: Are funding gates tied to verified capability and service outcomes rather than technology completion alone?
• Capability map: Are business capabilities, applications and accountable service owners connected?
• Dependency evidence: Are integrations, data flows, batch processes, operational procedures and external obligations mapped?
• Controlled seams: Has the team identified boundaries where change can be introduced and reversed safely?
• Target guardrails: Are architecture principles, supported technologies, interoperability rules and retirement criteria approved?
• Data accountability: Do priority data domains have named owners, quality definitions and permitted uses?
• System of record: Is the authoritative source clear for every critical entity and transaction?
• Contract discipline: Are interfaces and data products versioned with compatibility, security and service expectations?
• Migration controls: Are reconciliation, cutover, rollback, retention and deletion rules testable?
• Incremental plan: Does the roadmap release useful capability in bounded slices with explicit acceptance gates?
• Operational continuity: Are service levels, support, observability, recovery and coexistence requirements defined?
• Control integration: Are security, privacy, legal, audit and regulatory decisions part of delivery rather than a final review?
• Decision cadence: Are risks, dependencies, exceptions and changes reviewed by people with authority to act?
• Capability architecture: Are the roles, decisions, skills and operating interfaces needed for delivery and run defined?
• Workforce model: Has the organization chosen what to build, hire, augment or engage as managed capacity?
• Knowledge continuity: Are pairing, documentation, succession and transfer obligations built into the delivery plan?
• Adoption ownership: Do process owners, managers and users have time, measures and authority to adopt the changed service?

Record conflicts between stakeholder priorities. Modernisation stalls when every group supports change but no one has authority to resolve scope, value or risk trade-offs.

• Business service: Is the customer, employee or operational service being changed defined in business terms?
• Decision owner: Does one accountable executive hold the value case, scope and accepted business risk?
• Measurable baseline: Are current cost, service, risk and change constraints defined with named data owners?
• Investment logic: Are funding gates tied to verified capability and service outcomes rather than technology completion alone?

Treat data migration and integration change as product work. They need acceptance criteria, operational monitoring and accountable owners beyond the release date.

• Data accountability: Do priority data domains have named owners, quality definitions and permitted uses?
• System of record: Is the authoritative source clear for every critical entity and transaction?
• Contract discipline: Are interfaces and data products versioned with compatibility, security and service expectations?
• Migration controls: Are reconciliation, cutover, rollback, retention and deletion rules testable?

A technically complete release creates little value when teams retain the old process, lack run capability or depend on knowledge held outside the operating organization.

• Capability architecture: Are the roles, decisions, skills and operating interfaces needed for delivery and run defined?
• Workforce model: Has the organization chosen what to build, hire, augment or engage as managed capacity?
• Knowledge continuity: Are pairing, documentation, succession and transfer obligations built into the delivery plan?
• Adoption ownership: Do process owners, managers and users have time, measures and authority to adopt the changed service?

Define the business service, decision owner, affected users, scope boundary and non-negotiable controls.

Map capability, dependencies, data, operations, workforce and existing obligations with source owners.

Address stop conditions and ownership conflicts before committing the affected scope.

Test the architecture seam, data controls, operating process, adoption and rollback with bounded exposure.

Release further scope only when acceptance evidence, run ownership and benefits tracking remain current.

Share the priority, decision deadline and known constraints. A named MENTARA lead can help structure the assessment and resulting decision register.