E-commerce platform maps AI coding productivity gains

The company came to Hiflylabs with a clear but pressing problem: AI initiatives were already underway across the organization, but entirely fragmented. Developers were running AI coding tools on their own, business units had launched ad hoc projects, but these initiatives were largely part of a 'shadow IT' and lacked central governance or oversight. This created real risk, such as proprietary code policy obligations, cost visibility and access control requirements were left unaddressed. Leadership needed a structured strategy for AI coding integration before fragmentation became a compliance liability.

Hiflylabs first ran an AI maturity assessment across the company's business units, defining the gaps between goals and the current realities, and set actionable goals for closing this gap. During the audit and following workshops, we discovered multiple use cases, among which 36 survived scrutiny. These were prioritized based on potential business impact, with engineering productivity gains coming at the top. Hiflylabs then modeled the ROI of AI coding tools across the company's developer teams, benchmarking both GitHub Copilot and Claude Code for specific roles and their workflows, using real-life examples as a basis for each calculation. The engagement concluded with a four-phase implementation roadmap built on a five-layer reference architecture: identity, data governance, sandboxing, network controls, and observability – ready for IT Security review and full rollout.