AI transformation is the IT strategy in motion.

Subject: Rebaseline IT strategy around lifecycle risk and controlled exit

The proposed IT strategy treats AI transformation as the execution mechanism for modernization—not as a parallel innovation agenda. End-of-life pressure across network, storage, VMware, VDI, and the mainframe now intersects with a transformation that programme reporting places roughly one year behind its intended timing. This has created decision debt: without a single rebaseline, short-term bridge spending can harden into renewed legacy dependency.

The original strategy sought to avoid a legacy refresh currently estimated at $10–15M, pending procurement, asset, capacity, and support-cost validation. The disciplined response is to approve one target architecture, classify each lifecycle item as exit, bridge, retain, or replace, and fund only time-boxed bridges with compensating controls. Retained investment must be justified by target-state workload, resilience, security, or economics.

Current product delivery demonstrates credible execution capacity, while rapid-demo timings remain explicitly subject to validation and do not represent production delivery cycles. Portals are the first wedge in a strangler sequence: establish the independent product stack, transfer domain and data authority through evidence-gated waves, then retire the workloads and infrastructure they replace. Future-required business outcomes should be rebuilt through services, APIs, events, controlled CDC, or scheduled workflows—not by reproducing the legacy estate one job at a time.

The leadership decision is to revalidate the target architecture, establish one end-of-life risk and dependency register, approve bridge-funding principles, sequence product delivery with workload exits, and restore standing decision authority through a recurring CIO operating cadence. The destination is a lean hybrid foundation that can operate with AI, engineer with agents, launch new products, and sustain WHPS with a more durable cost and service model.

Working strategy baseline. Cost, delay, prototype-cycle, asset-lifecycle, capacity, and inventory figures require validation before external or investment use.