Enterprise modernisation is a sequencing problem: cloud migration, legacy application review, and AI adoption all need to happen — but not all at once, and not without rollback. We help large organisations move in phases, with architecture reviews, security controls, and engineering teams that understand regulated, stakeholder-heavy environments.
What teams face
Legacy platforms block every initiative
Monoliths, on-prem VMWare, and decades-old PHP or .NET stacks slow every automation and AI project. Transformation needs a phased roadmap, not a slide-deck rip-and-replace.
Migration risk keeps teams on expired infrastructure
Fear of downtime and audit failure paralyses cloud moves. Well-Architected migrations with zero-downtime cutover and evidence of control unlock progress without heroics.
AI pilots that never reach production
Enterprise AI experiments stall on integration, governance, and ops gaps. Production AI needs the same rigour as any other critical system — SSO, logging, change control, and runbooks.
What we build
Cloud migration and landing zones
AWS Control Tower, multi-account governance, and phased workload migration — patterns proven on cybersecurity and audio platform migrations with measurable cost outcomes.
Legacy application review and modernisation
Independent review of PHP, Laravel, and legacy stacks — rewrite vs refactor vs replatform decisions grounded in cost, risk, and delivery timelines.
Fractional CTO and architecture advisory
Senior technical leadership for roadmap, vendor selection, and board-level architecture decisions — without a full-time executive hire.
Related work
Sports membership platform as embedded engineering team
Eight months embedded with an Australian sports membership app: secure member accounts, scalable video delivery, fixes after independent security testing, and monitoring the internal team can run day to day.
View case studiesSecure analysis environment with AI agents
A private cloud workspace for an Australian research firm. AI reads incoming documents and email, pulls out structured findings, and hands them to the internal team. All data stays in the client's own environment.
View case studiesFurther reading
Legacy PHP Modernisation — Australia Cost Guide
Realistic budgets and approaches for enterprise legacy PHP transformation.
Rewrite vs Refactor vs Replatform Legacy PHP
Decision framework for enterprise teams stuck on ageing application stacks.
Enterprise AI Implementation Guide
Moving from AI pilots to governed production deployments in large organisations.