Executive checklist
Use this first-pass list to expose missing decisions. The detailed sections below explain why each area matters and how to review it.
- Item 1: Confirm the exact SAP products and editions
- Item 2: Define scope by business process and owner
- Item 3: Ask how fit-to-standard decisions are governed
- Item 4: Review clean-core and extension reasoning
- Item 5: Inventory data migration and reconciliation
- Item 6: Evaluate integration and exception ownership
- Item 7: Inspect environment and transport controls
- Item 8: Require end-to-end and volume testing
- Item 9: Rehearse cutover and forward recovery
- Item 10: Define support and lifecycle ownership
How to interrogate every checklist item
Do not mark an item complete because it has been discussed. For each one, capture the five records below. This separates an informed decision from an optimistic assumption and gives delivery, security and business owners the same reference point.
- Current evidence
- What was observed, measured, reproduced or approved? Name the artifact, system or accountable source.
- Decision and boundary
- What is being chosen now, which alternative was rejected, and what remains deliberately outside this decision?
- Failure and exception path
- What can make the normal path invalid, how will people recognise it, and who may intervene or approve an exception?
- Acceptance evidence
- Which observable behaviour, test, reconciliation or owner review will prove that the implemented result matches the decision?
- Owner and review trigger
- Who owns the decision after launch, when must it be reviewed, and which product, data, threat, provider or operating change should reopen it?
Section 01
Start with platform and process specificity
An SAP partner should confirm the actual products, editions, modules, environments and connected landscape before proposing delivery. Public cloud, private cloud, on-premise and BTP extension choices create different boundaries.
Ask the partner to frame scope through named business processes, owners, records and exceptions. Module familiarity is necessary, but it does not replace understanding how the organization will operate.
Section 02
Test the clean-core decision method
Ask how the team distinguishes standard configuration, approved extensions, side-by-side services and modifications. A credible answer should connect business need, released interfaces, upgrade impact, ownership and retirement triggers.
Clean core should not become a slogan used to reject every differentiating requirement. It is a governance discipline for keeping processes, data, integrations, extensibility and operations understandable and maintainable.
Section 03
Examine data and integration depth
Request an approach for profiling, cleansing, mapping, mock loads, rejected records and business reconciliation. A successful technical load does not prove balances, identifiers and downstream behavior are correct.
For interfaces, ask about direction, timing, volume, security, retries, monitoring and reprocessing. Confirm who owns failures when SAP, middleware and an external system disagree.
- Authoritative record per data domain
- Stable identifiers
- Exception and replay design
- Operational monitoring
- Named reconciliation owner
Section 04
Ask for delivery and cutover evidence
Review requirements traceability, transport governance, testing environments, role validation, defect control and evidence captured at release gates. Demonstrations should use representative roles and end-to-end processes, not administrator-only happy paths.
Cutover needs sequence, access, data windows, integration switch, business validation, communication, support coverage and forward-recovery. Ask what will be rehearsed and which conditions can stop the release.
Section 05
Contract for the operating lifecycle
Clarify documentation, repositories, administrative access, licences, monitoring, hypercare, support routing and enhancement governance. Define what remains with the client, the implementation partner and any managed-service provider.
Evaluate the named team and responsibility model, not only corporate credentials. A bounded discovery or architecture engagement can test decision quality before the organization commits to a larger programme.
Decision workbook
Turn the article into a reviewable next step
The framework becomes useful when it changes a real decision. Work through these stages with the people who own the business process, data, technology and release, not only the person writing the specification.
- 01
Frame the decision
Write one sentence naming the operating problem, the people affected, the decision required now and the date or event that makes it necessary. Add explicit exclusions. If the sentence contains several independent outcomes, split the decision before evaluating solutions.
- 02
Build an evidence register
List confirmed facts, reported facts, assumptions and unknowns separately. Attach a source, owner and review date. Reproduce important technical behaviour where possible, and label estimates or illustrative examples so they cannot silently become contractual facts.
- 03
Compare viable options
Include the smallest safe change and the option to retain the current path. Compare user value, operating ownership, data and security consequences, reversibility, dependencies, cost basis and time-to-evidence. Avoid a weighted score that hides a non-waivable constraint.
- 04
Define observable acceptance
Describe successful behaviour, negative and permission cases, data reconciliation, degraded behaviour, operational visibility and owner sign-off. A feature list is not acceptance evidence; the review must show that the surrounding workflow remains safe and usable.
- 05
Sequence learning and risk
Resolve architecture-changing, data-purpose, integration, migration and authority questions before investing in low-risk polish. Deliver the smallest coherent increment that can be demonstrated and operated, then use its evidence to approve or reshape the next increment.
Failure patterns this framework is designed to prevent
A requested feature is mistaken for the underlying need
The team delivers the named screen or integration while the real decision, exception or handoff remains unresolved. Trace every material feature back to the user action and operating result it supports.
An assumption acquires the status of a fact
Repeated wording in decks, tickets and code can make an unverified belief look approved. Keep source, confidence, owner and validation action visible until evidence closes it.
The happy path hides the operating cost
Demos omit retries, corrections, access reviews, reconciliation, support and recovery. Review failure and administrative paths before declaring the design production-ready.
A technical release is treated as a business outcome
Deployment can enable an outcome; it cannot guarantee adoption, revenue, regulatory approval or operational change. Assign the non-technical actions and measure them separately.
Ownership disappears at handover
A system with no accountable owner for accounts, data, incidents, dependencies, content and future decisions degrades even when the initial build is sound. Treat ownership and review cadence as deliverables, not post-launch administration.
From guidance to delivery
How SpeedInno applies this thinking
SpeedInno uses frameworks like this to make requirements, evidence, acceptance and operating ownership visible before committing to a delivery path. The right response may be a focused assessment, a controlled implementation, a takeover plan or a decision not to build yet; the framework supports the decision rather than forcing a predetermined package.
Explore the relevant capabilityEvidence base
Primary sources
These sources support the technical framework. They do not imply endorsement of SpeedInno or a commercial partnership.
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