Migration assurance for critical records

Know what reconciles - and what does not - before a migration decision becomes a production problem.

WigginsWare helps implementation partners and operating teams define and test bounded reconciliation controls across one source/target pair, starting with a Migration Assurance Diagnostic.

One source/target pairDiagnostic firstNon-production evidence

See the diagnostic-first path

A diagnostic-first path

Choose the smallest useful starting point.

The Migration Assurance Diagnostic is the starting point. A Reconciliation Control Build is considered only when the diagnostic produces a bounded scope and readiness is separately confirmed.

Recommended starting point

Migration Assurance Diagnostic

A three-week, 28-delivery-hour-capped diagnostic for one source/target pair focused on critical-record validation, reconciliation, and exception classification.

Up to three critical entity families, eight agreed reconciliation controls, two designated client SMEs, two extract iterations, and three scheduled meetings.

What is examined

Record definitions, source-to-target mapping assumptions, control logic, exception patterns, evidence gaps, ownership, and decision consequences.

What you receive

Defined scope and reconciliation-control matrix
Sample-backed reconciliation results
Exception and risk register
Decision brief with a bounded next-step recommendation

A Reconciliation Control Build may be considered separately only when the diagnostic establishes a bounded scope and both delivery and client readiness are confirmed.

No full migration, implementation, production change, production support, compliance assurance, cutover approval, or guarantee of migration completeness or success is included.

Conditional follow-through

Reconciliation Control Build

An 8-10-week, 80-delivery-hour-capped, separately scoped non-production implementation of agreed reconciliation controls after the diagnostic proves the scope is bounded and readiness is confirmed.

Required before work begins

The diagnostic has established an agreed control scope and written acceptance criteria
Required non-production data, access, and client or partner ownership are approved
Production deployment, rollback, monitoring, and operations remain with the client or prime partner
WigginsWare capacity and start readiness are confirmed separately

Example project shapes

Repeatable source-to-target reconciliation checks
Exception classification and review outputs
Tested control package with runbook and one assisted handoff

No production deployment, rollback ownership, monitoring, operations, broad migration ownership, or open-ended support.

If scope or readiness is not yet confirmed, the Migration Assurance Diagnostic remains the only starting point.

Contact details

Synthetic proof, kept in proportion

Examples of how reconciliation findings could be documented.

Blocking - excludeCustomer mismatch with work order

The invoice and linked work order disagree on customer identity. Without a control, an amount can enter reporting while its source records conflict.

Recommended treatment

Exclude invoice row and amount. Confirm or correct the source value with the responsible owner.

INV-003 · INV-00166 · invoices.csv row 166 · raw value CUS-0001

Review - acceptIssued or paid invoice on non-closed work order

Billing activity and work-order completion do not align. The condition warrants review, but the proof does not establish that the invoice amount is invalid.

Recommended treatment

Accept invoice and include its amount; retain review finding. Confirm or correct the source value with the responsible owner.

INV-006 · INV-00172 · invoices.csv row 172 · raw value WO-00221

Synthetic / non-production. Synthetic demonstration using fictional, non-production data. This shows validation, reconciliation, and exception-classification methods only - not a full migration, production system, client result, market evidence, or a claim of savings.

Founder-led delivery

Richard Wiggins

Founder, WigginsWare

Richard Wiggins is the founder of WigginsWare, a Southwest Ohio-based engineering practice focused on migration assurance and reconciliation controls. He brings 10+ years of experience designing reliable data systems, modernizing cloud and platform workloads, and improving automation, observability, and operational reliability. He has led large, cross-functional engineering initiatives across application, data, cloud, and operations teams. His focus is bounded validation, reconciliation, and exception handling that makes migration decisions easier to understand and defend.

Available to consider work across the Southwest Ohio-Columbus corridor and remote engagements, subject to fit and capacity.Based in Southwest Ohio; on-site availability depends on location, timing, and scope, and remote delivery may be considered when travel is unnecessary.