The full modernisation playbook

Retire the legacy that blocks AI — app, data and platform — with parity you can prove.

techniques

disciplines

capabilities

the whole spectrum

rehost / replatform → rearchitect / AI-native · not just the fashionable end

34 rehost / replatform59 refactor48 rearchitect / AI-native

/ browse

The 5 capabilities, in depth

Pick a capability — its plain-English job, the questions it answers, and the full toolbox scroll alongside.

the colour is the tierrehost / replatformrefactorrearchitect / AI-native

Assess & plan

know the estate before you move it

28techniques · 2 disciplines

8 rehost / replatform11 refactor9 rearchitect / AI-native

Map what you actually run, decide the right treatment for each system, and sequence the moves so the business case — and the risk — is clear before a single workload moves.

answers questions like

→“Which of our systems are actually blocking AI, and which are fine to leave alone?”
→“What's the real cost — and business case — for moving versus staying?”
→“In what order do we move things so we never take the business down?”

the toolbox — 28 techniques, rehost / replatform to rearchitect / AI-native

Portfolio assessment

16 techniques

Application inventoryManual estate surveyDependency mappingSpreadsheet portfolio catalogBusiness-criticality tiering6 Rs / 7 Rs disposition (rehost / replatform / repurchase / refactor / retire / retain)Automated discovery & dependency scanTCO / cost-model analysisBusiness-case & ROI modellingComplexity vs. value scoringTechnical-debt assessmentAI-readiness scoring per systemData-gravity & coupling analysisAutomated call-graph / code-dependency miningCloud landing-zone fit assessmentCarbon / sustainability baseline

Migration strategy

12 techniques

Big-bang planManual runbookFixed migration scheduleWave / move-group planningRisk & complexity scoringMigration factory / repeatable patternRollback & backout planningCutover sequencingValue-stream-driven sequencingDependency-aware wave optimisationAI-native target-state architectureIncremental strangler roadmap

/ the point

Modernise for AI, with parity you can prove

Most migrations stall on trust — so we dual-run the old and the new until the numbers match, then cut over with a rollback in hand.

Back to the service

The target data platform is AI Data Infrastructure · The target ML platform is AIOps / MLOps · The roadmap behind the moves is AI Strategy & Advisory