Built end-to-end AI workflow system automating cross-team processes
Dan Wang built AIDAN, a comprehensive automation ecosystem that orchestrates voice, text, web search, and tool integrations into cohesive AI workflows. The system delivers cross-team automation with robust governance, demonstrating how scalable orchestration can transform processes across multiple channels.
• Award_Category: The Automation Architect
• Project_Title: AIDAN - Orchestrating End-to-End AI Workflows
• Description: A comprehensive automation ecosystem that stitches voice, text, web search, and tool integrations into cohesive workflows. Demonstrates scalable orchestration across multiple channels, with robust governance and auditing to ensure safe, reliable AI-powered processes.
• Team_Members: Dan Wang; AIDAN
• Impact_Scope: Cross-team workflow automation; time savings; scalable orchestration across tools
• Key_Features: Multi-channel orchestration; tool integrations; governance/auditability; sandbox testing
• Security_Notes: Access controls; data governance; secure key management
• Tech_Stack: OpenClaw; SAG/ElevenLabs (generic); Airtable; APIs
• Metrics_Proof: Automation coverage; throughput improvements; reliability metrics
• Attachments: 3
• Submission_Date: 2026-02-15
Written 16 February 2026 Submitted by the storyteller
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