I delivered a modular AI pipeline using Power Automate, Microsoft Forms, and OpenAI’s API to handle rate limits, token constraints, and multi-part prompts, which then dynamically compiled results into user-ready documents. I built robust error handling and formatting control logic for reliability.
Executive Summary
For this initiative, I created a flexible, low-code blueprint for advisory automation and multi-modal document generation. By partnering directly with developers to frame ambiguous friction as user stories with measurable ROI, I reduced friction for users with complex or multi-variable input needs. My solution enabled non-technical testers to engage with AI models in a structured, safe, and consistent format without manual copy/paste or formatting between tools.
- ➤I enabled a single-form UX for high-trust document output.
- ➤I secured engineering commitment by tying the pilots I designed to operational efficiency outcomes.
- ➤I designed the system for enterprise extensibility with a unified delivery layer and modular prompt adaptation.