Platform and cloud migrations de-risked by ML — scoring every component for risk before go-live, triggering automated rollback in under two minutes if needed, and validating 100% output parity in parallel.
Technology migrations fail most often for two reasons: risks that weren't identified before go-live, and no reliable way to confirm the new system behaves identically to the old one. We eliminate both. Our ML risk scoring engine assesses every component, dependency, and data set in advance, producing a prioritised safety map that covers 90% of risk before a single production byte moves. Once live, anomaly detection monitors the system continuously and triggers automatic rollback in under two minutes if error rates spike. And parallel validation testing runs live traffic through both old and new systems simultaneously, diffing outputs to guarantee complete parity — not just assumed parity.
AI de-risks migration at every phase — identifying danger before go-live, responding to anomalies in seconds, and proving with data that the new system is a faithful replacement for the old one.
ML assesses every component, dependency, and data set for migration risk, giving you a prioritised safety map that surfaces 90% of risk before the first production change.
Anomaly detection monitors the live system post-migration and triggers automatic rollback in under two minutes if error rates spike — limiting blast radius to seconds, not hours.
AI runs live traffic through both old and new systems simultaneously and diffs the outputs — providing mathematical proof of parity rather than assumption-based confidence.
ML risk scoring analyses every component, data set, and integration — producing a prioritised risk register and a sequenced migration plan before any work begins.
We instrument rollback triggers and parallel validation harnesses in staging, validating their operation under simulated load before touching production.
We execute the migration in phases with parallel validation running throughout — only decommissioning source systems once parity is mathematically confirmed.
Post-migration monitoring continues for an agreed period, with rollback triggers active and performance baselines tracked to confirm sustained equivalence.
Let's map your migration risks, build the safety nets, and move your platform with confidence — not hope.
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