Migration planning and execution
Structured pathways include staged cutover, fallback readiness, and comprehensive reconciliation.
Software supplied through Fintall
Migration and implementation. A controlled transition.
Move from legacy administration systems through a structured implementation approach that balances delivery with auditability, operational resilience, and business continuity.
Delivery discipline
Plan the move. Prove the result.
Implementation governance
Scope, testing, approvals, model office, and go-live readiness are managed through defined delivery controls.
Operational handover
Runbooks, controls, and a defined support model connect project delivery with stable post-launch operations.
Migration assurance
Three questions before production approval.
The Migration Assurance Report brings completeness, accuracy, and auditability together after each trial run. Sponsors can see unresolved issues and the evidence of convergence before approving the production move.
Did everything arrive?
Source and target counts are compared by entity and relevant dimension. Variances distinguish explained exclusions, merges or splits, and items still requiring resolution.
Was it transformed correctly?
Aggregate checks against agreed tolerances are combined with sampled, field-level before-and-after comparisons. Counts alone do not establish transformation accuracy.
Can we prove it?
Source file hashes, mapping versions, transformation rules, approvals, and record-level lineage connect the original data to the loaded result.
The migration lifecycle
Eleven phases. Repeated trials before commitment.
Mapping through reconciliation forms an iterative loop: inspect results, refine the rules, and repeat. Early runs can use a defined test cohort before progressing to the full data set.
Project setup
Agree scope, jurisdictions, source systems, delivery roles, and approval requirements.
Source registration
Record source formats, connections, and encoding so the ingestion boundary is explicit.
Ingestion
Load source data into staging and capture file hashes for the chain of custody.
Profiling
Assess structure, quality, and completeness before deciding how source fields should map.
Mapping
Define and version field-to-field mappings, including jurisdiction and product-specific requirements.
Transformation
Apply controlled conversion rules and inspect representative input and output values.
Validation
Check target constraints and business rules, recording failures for correction.
Trial load
Load a shadow target for inspection without committing the production migration.
Reconciliation
Compare source and target results, classify variances, and update the assurance report.
Production commit
Use dual approval, backup, and a defined reversal procedure for the authorised production load.
Post-migration verification
Complete final reconciliation, assemble the evidence pack, and archive the migration record.
Controlled execution
Inspect, correct, and approve with the evidence in view.
Step-level recovery
Steps can be inspected and re-executed. Returning to an earlier step clears dependent downstream outputs while preserving the previous run's audit history.
Optional AI assistance
Seven defined assistance points cover field classification, entity matching, mapping, transformation, anomaly detection, variance analysis, and documentation. Recommendations are review-gated; the programmatic pipeline works without AI.
Role-aligned views
Delivery teams inspect records and errors; management tracks milestones and convergence; clients review sign-off readiness; audit stakeholders examine lineage and supporting evidence.
The Fintall model
One technology move. A distinct service transition.
This describes the initial move into the Fintall environment. Once the register and technology are in place, changing administration services is a separate transition involving people, processes, controls, and oversight, rather than another technology migration.