Platform Migration & Replatforming
Replatform without the cliff.
A migration is not a theme rebuild. We run it as a controlled program — SEO and URL mapping, data reconciliation, integration testing, and a parity-proven cutover with a rollback that actually works. Designed for minimal-downtime launches.
Why migrations fail
The failure modes are predictable.
Which means they are preventable. Most replatform damage traces back to one of four shortcuts — taken to hit a date.
Big-bang cutover
Everything moves on one date with no parallel run. The first real traffic on the new platform is also the first real test of it.
SEO treated as an afterthought
URLs change, redirects are missed, metadata drifts — and organic traffic falls off a cliff the week after launch.
Data migrated, not reconciled
Orders and customers copy across but the totals do not match. Nobody notices until finance does.
Integrations assumed, not tested
ERP, OMS, WMS, and tax connections are wired but never load-tested against real volume until peak breaks them.
The control plan
A replatform is six controlled lanes.
Each dimension crosses from legacy to modern through a parity checkpoint that is proven before cutover — not after.
Where AI helps the migration
Field-mapping drafts, reconciliation diffs on every migrated total, and regression-suite generation at the parity checkpoint — the same AI engineering we ship to production, pointed at the migration itself.
What we protect
The five things a migration can break.
SEO & URL mapping
Full URL inventory, 301 map, metadata parity, redirect chains resolved, sitemap and robots validated, rankings monitored after launch.
Data migration & reconciliation
Products, customers, orders, and history migrated with row counts and totals reconciled against source before sign-off.
Integration testing
ERP, OMS, WMS, PIM, tax, and payment connections tested against real volume and failure cases, not just the happy path.
Cutover & rollback
Old and new run in parallel until parity is proven. A scripted, rehearsed rollback exists before the switch is ever flipped.
Post-launch monitoring
Error rates, Core Web Vitals, conversion, and rankings watched against a pre-launch baseline for the first weeks.
Most migrations we run are onto Shopify Plus, Adobe Commerce, or a headless architecture. When the real problem is a codebase rather than a platform, the work is legacy modernization; when a migration is already underway and off the rails, it is project recovery.
How it runs
Four phases, old platform live throughout.
- 01Phase 1
Audit & plan
Inventory URLs, data, and integrations. Define the parity bar and the rollback plan before any build.
- 02Phase 2
Parallel build
Build the new platform while the old one runs. Migrate data into a staging mirror and reconcile.
- 03Phase 3
Parity & cutover
Prove parity lane by lane, rehearse the cutover, then switch with the rollback armed.
- 04Phase 4
Monitor & harden
Watch SEO, performance, and error rates against baseline; close the gaps the first weeks surface.
Where we built
Minimal-downtime Magento migration for a beauty brand.
40%Faster page loads — checkout abandonment down from 78% to 52%
Read the case studyAI-assisted QA included.
Tests aren't a separate line item — they're how engineers ship covered code. Lower QA budget, faster feedback, better coverage than traditional QA cycles.
Auto-generated E2E
Playwright + LLM scaffold tests from product flows.
Self-healing selectors
Tests don't break when copy or DOM shifts.
Production replay
Real traffic patterns become regression suites.
PR-level impact
Only the relevant tests run on each diff.
How an engagement starts
Three steps to a partnership
Intake call
30 minutes. We listen, you talk. No deck.
Diagnostic
We audit the surface, name the bottleneck, propose a path.
Kickoff
Senior engineer in your standup by week two.