Проектирование AI-воркфлоу для голосовых систем

★ 6.9 · marketing

ai-voice-workflow is a Claude Code skill that helps design and document AI voice workflows with a structured process, quality checks, and system integration. It follows four steps: reviewing project context from memory.md and knowledge-base.md, selecting and applying a framework (AI Readiness Assessment, Automation ROI Calculator, Human-in-the-Loop Design, RAG Architecture, or Agent Orchestration Patterns), generating specific and actionable recommendations with realistic figures and timelines, and validating output against a quality checklist. The resulting document covers executive summary, stakeholder analysis, implementation table with owners and priorities, risk matrix, and success metrics including Time Saved Per Task, Automation Rate, Error Reduction %, and Cost Per AI Operation. Follow-up actions are logged to TaskBoard.md and reusable learnings to knowledge-nominations.md. It suits teams automating voice scenarios who need a repeatable, measurable delivery process rather than generic advice.