- Scale support capacity for company growth through AI and automation while making strategic build-vs-buy decisions.
- Drive performance metrics including resolution, containment, and CSAT across chat, email, and voice channels.
- Manage knowledge infrastructure by maintaining taxonomy, mining ticket logs, and preparing AI-ready content.
- Partner with human support teams to roll out agentic tools, create feedback loops, and establish SOPs.
- Enforce QA and engineering discipline by treating prompts like production code using test suites and staged rollouts.
- Measure and report business ROI, cost per contact, and capacity optimization.
- Execute as a player-coach to support the AI operations team while scaling the function.