AI Customer Support
Migration sampling strategy: how many tickets to validate before go-live
Sample tickets by risk—not randomly: 5–10% historical, 15–25% open, 50–100% in-flight, 100% for VIPs.
June 25, 2026
Real playbooks from B2B SaaS support leaders: account context, dynamic SLAs, escalation management, AI deflection, and clean migrations off legacy help desks.
Sample tickets by risk—not randomly: 5–10% historical, 15–25% open, 50–100% in-flight, 100% for VIPs.
Treat every portal upload as untrusted: scan for malware, redact PII, enforce retention, and monitor with AI.
Keep customers informed with simple status labels, timely automated updates, clear messages, and AI-powered personalization.
Control internal vs. customer case visibility using private notes, internal tags, and AI-driven external updates.
Balance AI-driven self-service with visible contact options to reduce tickets without trapping customers.
Organize content, use categories and templates, apply AI intent recognition and smart ranking, and monitor zero-result and bounce rates.
Use one master article, AI translation workflows, and automated sync to scale multilingual customer support without duplicate content.
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