What problem does it solve? Organizations struggle to know which manual processes are worth automating. This Skill investigates how employees actually work across Slack, email, wikis, CRM, HRIS, and ERP systems, then produces an evidence-backed, prioritized backlog of UiPath automation opportunities with build-effort sizing. ## Core Features & Use Cases - Behavioral Mining: Searches messaging channels, email patterns, CRM workflows, wikis, issue trackers, and HRIS/ERP systems for repetitive manual work, approval bottlenecks, and single points of failure. - 4-Tier Prioritized Report: Produces a structured report ranking opportunities from replicable proven models (Tier 1) through behavioral automations, operational gaps, and strategic initiatives (Tier 4), each with cited evidence. - Build-Effort Estimation: Sizes each opportunity via complexity band to pack-hours mapping with redeploy factors, rebuild discounts, and confidence-tiered contingency, using user-supplied UiPath complexity matrices. - Use Case: An automation COE lead asks "what should we automate?" — the Skill runs intake, mines verified systems, and delivers a UiPath-ready backlog mapped to implementation paths (RPA, Maestro Flow, agents). ## Quick Start Run an automation discovery across our Slack, Jira, and Salesforce to find the top manual processes we should automate with UiPath.