Case Study
Infobip: AI Enablement
Problem
New AI workflows can unlock speed, but they also create noise if teams adopt them without shared standards for quality, accessibility, and implementation realism.
Process
I act as a mentor for product and design leaders, helping them adopt AI-assisted workflows and GPT agent patterns in a practical way. The work is not just about prompts, but about teaching teams how to move faster while still grounding outputs in accessibility, system rules, and product quality standards.
Solution + Outcome
That enablement helps teams adopt AI with more confidence and less novelty-driven churn. Instead of treating generated output as a shortcut, the organization has clearer patterns for using AI as part of a disciplined product engineering workflow.