1. What framework implementation means
The team selects modules, configures them, designs missing behavior, and owns the complete application. A shipped module reduces scope; it does not remove the need to validate process, data, permissions, and operations.
2. Discovery and organizational readiness
Record the problem, measurable outcome, decision owner, users, constraints, and baseline. Confirm access to process experts, data, environments, and an operating budget—not only a build budget.
3. Process and data mapping
For each process, document the trigger, roles, decisions, exceptions, inputs, outcome, and execution evidence. Identify the system of record for each object, data quality, identifiers, and retention rules.
4. Scope classification
Classify each requirement as shipped, configurable, extension work, a new module, an integration, or edition-dependent. Give unknowns a time-boxed technical proof rather than hiding them inside an estimate.
5. Solution and deployment architecture
Define tenant and organization boundaries, roles, application programming interfaces (APIs), events, queues, search, environments, data flows, and hosting. Separately list production services such as the database, Redis, Meilisearch, object storage, email, and model providers when used.
6. Data migration
Build a source inventory, field and transformation mapping, missing-data rules, and a plan for attachments and history. Run at least one trial migration, reconcile counts and totals, and define freeze, cutover, and rollback before launch.
7. Security and access model
Design authentication, least-privilege roles, organization separation, secrets, encryption, action logging, and privileged-account handling. Framework primitives must be completed by infrastructure and organizational controls.
8. Test strategy
Combine unit, integration, full user-journey, user-acceptance, performance, recovery, and rollback testing. Acceptance criteria should describe business outcomes and evidence, not merely a successful build.
9. Training and change management
Identify user groups, changing responsibilities, procedure owners, and support channels. Training should use target roles and safe test data, and adoption should be observed after launch.
10. Go-live, stabilization, and maintenance
The launch plan names cutover order, owners, stop conditions, rollback, and communication. Stabilization needs monitoring, on-call ownership, incident classification, backups, and tested restoration. Normal update and support cycles then begin.
11. Cost and schedule drivers
Major drivers include process count and variability, data quality, integrations, custom interface work, security and performance requirements, environment count, decision-maker availability, and post-launch effort. User count alone rarely describes complexity.
12. Deliverables after each phase
Expect a business case and scope, process and data maps, architecture decision record, requirements and gap register, working increments, test and migration reports, launch and rollback instructions, and a handover pack covering code, configuration, procedures, and known risks.
13. Questions for a delivery team
Ask for the source behind every product claim, visible assumptions, responsibility for data and integrations, change control, and a definition of done. Establish who owns the repository, cloud accounts, secrets, domains, and documentation after the engagement.
14. Common failure modes
Risk rises when a team treats the framework as a finished suite, estimates before inspecting data, assumes a connector exists, excludes users, tests only happy paths, or postpones operations until launch. Each risk needs an owner and mitigation.
15. Next decision: readiness assessment
Before authorizing delivery, assess readiness and expose evidence gaps. Repeat the assessment after solution design as a launch gate. The internal checklist is decision support, not certification.
| Phase | Owner | Output | Gate |
|---|---|---|---|
| Discovery and outcomes | Sponsor and process owners | Prioritized outcomes, baseline evidence and exclusions | Owners accept the problem statement and decision log |
| Scope and capability mapping | Product owner and architect | Available, configurable, custom and integration-dependent scope | Every requirement has a delivery state and acceptance evidence |
| Architecture and ownership | Solution, security and operations owners | System context, tenancy, access, deployment and operating model | Open decisions have owners and dates |
| Data and migration design | Data owners | Inventory, mapping, quality rules, trials and reconciliation plan | Trial results meet project-defined tolerances |
| Configuration and build | Implementation team | Configured modules, extensions, integrations and traceable decisions | Automated tests and review gates pass |
| Validation and acceptance | Business, QA and security owners | Unit, integration, end-to-end, performance, recovery and UAT evidence | No blocking unknown remains |
| Go-live and rollback | Named go-live authority | Cutover plan, user-defined stop triggers, communications and tested rollback | Decision authority records go, pause or rollback |
| Operations and handover | Service owner and maintainers | Monitoring, backups, recovery, updates, support and exit package | Operators demonstrate recovery and accept ownership |
Method, assumptions and limitations
Reviewed 14 July 2026. Product facts were checked against both the public code at the cited repository revision and official documentation. Where documentation and code differ, this guide describes behavior supported by code. Interpretations and recommendations concern implementation work, not product guarantees.
This material is not a quote, audit, certification, or legal, tax, or accounting advice. Edition, enabled modules, configuration, custom code, infrastructure, data, third-party providers, and operating practices affect the outcome.
Primary source collections: code repository, documentation, public releases.
Submit a correction with the public source and the date checked.