LinkedIn, Walmart, Zendesk rebuild stack for sub‑second AI agent response
Enterprise AI agents were hitting latency walls not from model quality but from legacy stacks built for human workflows. LinkedIn shifted 80% of orchestration to async, pre‑provisioned containers; Walmart created a unified data‑access layer to curb duplication; Zendesk rewired its data plane for sub‑second replies. The fixes let agents move from pilot to production at scale.