What problem does it solve? Deciding whether an automation platform fits a workflow requires separating verified product facts from assumptions, yet teams often commit to builds based on stale pricing, unverified capacity claims, or generic feature lists. This Skill produces evidence-separated assessments of PROCESIO feasibility, architecture, sizing, and commercial fit before any implementation begins. ## Core Features & Use Cases - Feasibility and fit assessment: Scores workflows against reachability, identity, data semantics, control flow, operations, and economics dimensions using a structured framework. - Capacity sizing with deterministic math: Estimates execution environment demand from measured runtime and arrival rates via an offline Python calculator that never invents EE limits or prices. - Freshness-gated advisory: Enforces verification of volatile claims like pricing, roadmap, compliance, and competitor comparisons against current first-party sources. - Use Case: A solution architect asks whether PROCESIO can handle 200,000 daily jobs with human approvals and three API integrations. The Skill separates confirmed capabilities from assumptions, brackets capacity scenarios with explicit units, and names the cheapest proof to run next. ## Quick Start Ask the assistant to assess whether PROCESIO can support your workflow, including fit, architecture, and capacity sizing, without touching any workspace.
