Building ShouldWeAutomate: A Decision Intelligence Platform for Workflow Automation
The article discusses the development of ShouldWeAutomate, an open-source platform designed to assess the readiness of business processes for AI automation. It highlights the complexities involved in automation decisions and the need for a systematic, data-driven approach. The platform features a user-friendly interface and a scoring engine that evaluates various dimensions of a workflow.
- ▪ShouldWeAutomate is a decision intelligence platform for evaluating workflow automation readiness.
- ▪The platform uses a scoring system based on seven dimensions that affect automation decisions.
- ▪It features a gamified user experience with real-time score updates as users adjust input sliders.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 101279) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Harish Kotra (he/him) Posted on May 30 Building ShouldWeAutomate: A Decision Intelligence Platform for Workflow Automation #ai #programming #python #dailybuild2026 How we built an open-source platform that tells you whether your business process is ready for AI automation — with deterministic scoring, gamified UX, and optional LLM inference. The Problem Every week, someone asks: "Can we automate this workflow?" The answer is never simple.
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