TL;DR / Key Takeaways
- Hidden Scope Kills Budgets: E-commerce re-platforming budget overruns (often 30% to 100%+) rarely stem from platform license fees, they are driven by underscoped ERP/middleware integrations, legacy data debt, and unmanaged scope creep.
- The 80/20 Rule of Delivery: Front-end storefront UI represents only 20 to 30% of total migration effort; the remaining 70 to 80% lies in backend architecture, custom business logic, and third-party API integrations.
- Audit Before Building: Decommissioning obsolete custom features and cleaning product data at the source before coding can reduce total delivery costs by up to 35%.
- Execution Governance: Shift from passive task tracking to active, value-driven product delivery management using a phased/strangler migration pattern.
Summery
A successful AI strategy focuses on solving real business problems rather than simply adopting new technology. Organizations should first identify their key goals and challenges, then select AI use cases based on their potential impact, feasibility, and speed of delivering results. To achieve long-term success, businesses need strong foundations, including high-quality data, scalable technology, skilled teams, and responsible AI governance. By aligning AI initiatives with business objectives, companies can create measurable value and drive meaningful transformation.
