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: Define programme scope by business capability and process
- Item 2: Confirm SAP product, edition, modules and landscape
- Item 3: Classify fit-to-standard decisions and approved deviations
- Item 4: Choose on-stack or side-by-side extension deliberately
- Item 5: Inventory interfaces, data authority and error ownership
- Item 6: Profile migration data and define reconciliation evidence
- Item 7: Govern development, transport, environments and access
- Item 8: Test roles, integrations, volume and operational exceptions
- Item 9: Rehearse cutover, validation and forward-recovery
- Item 10: Assign clean-core, support and lifecycle ownership after launch
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
Frame the implementation by business capability
An SAP implementation should connect programme scope to named business capabilities, processes, owners and measurable acceptance. Module names alone do not explain which operating decisions, records and exceptions the system must support.
Use fit-to-standard review to distinguish an accepted standard process from a genuine differentiating or regulatory requirement. Record deviations with an owner and lifecycle consequence.
Section 02
Confirm the actual platform landscape
SAP S/4HANA Cloud public edition, private edition, on-premise environments and BTP services create different extension, integration and operating options. Confirm products, editions, releases, tenants, connected systems and licence boundaries before promising a design.
Map development, quality and production environments, transport paths, identity providers and administrative ownership. Platform ambiguity becomes delivery risk when access, tooling or release assumptions surface late.
Section 03
Use clean core as a decision discipline
SAP describes clean core across processes, extensibility, data, integration and operations. The objective is not zero differentiation; it is to keep changes understandable, governed and as upgrade-safe as the requirement allows.
Classify each extension by business need, available standard capability, released APIs and extension points, maintenance owner and retirement trigger. Avoid modifying the core when a supported on-stack or side-by-side option is sufficient.
Section 04
Choose extension architecture deliberately
SAP's Extension Architecture Guide distinguishes on-stack, side-by-side and hybrid extension domains. UI changes, lightweight workflow, heavy processing, legal constraints and performance needs can lead to different choices.
Define where logic executes, which system owns transactions, how identity propagates and how the extension is monitored. A side-by-side service is not automatically clean if it depends on unstable interfaces or duplicates authoritative data without governance.
Section 05
Engineer integrations as operating products
Inventory APIs, events, IDocs, files, middleware, schedules and manual bridges. For each interface, record direction, timing, volume, identifiers, transformation, retries, reconciliation, security and operational owner.
SAP's clean-core integration guidance emphasizes interface classification and monitoring coverage. Design exception handling and reprocessing with the business process, not as an afterthought owned only by middleware specialists.
Section 06
Treat migration as controlled data change
Profile sources, duplicates, historical rules and ownership before mapping. Define cleansing authority, mock loads, reconciliation totals, rejected-record handling and the treatment of changes that arrive during the cutover window.
A successful technical load is not business acceptance. Process owners should verify representative and exceptional records, balances or operational totals and downstream effects.
Section 07
Test process, security and volume together
End-to-end testing must include roles, approvals, integrations, background work, forms, outputs and operational exceptions. Test representative volume and timing because batch windows and interface queues can expose problems absent from a scripted demonstration.
Capture evidence for defects, retests, segregation-of-duties decisions and accepted residual risk. Keep configuration and custom development traceable to approved requirements.
Section 08
Rehearse cutover and own the clean core
Define readiness gates, data freeze or coexistence, transport sequence, integration switch, validation, business communication, support coverage and forward-recovery. Rehearse the runbook with production-like authority and scale.
After launch, assign ownership for transports, interfaces, extensions, data quality, access, monitoring and clean-core review. An implementation remains maintainable only when future changes follow the same governance used during delivery.
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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