A virtual agent is software that uses artificial intelligence—typically natural language processing (NLP) and machine learning—to understand customer questions and deliver responses or complete tasks autonomously. Unlike a basic chatbot with fixed scripts, a virtual agent can interpret intent, manage multi-turn conversations, and integrate with back-end systems to take action (e.g., resetting a password or checking order status).
Why it matters: Virtual agents extend support capacity around the clock without proportional headcount growth, and they deflect high-volume, repetitive contacts so human agents can focus on complex issues.
Key metrics to track:
- Containment rate: % of sessions resolved without human escalation
- Deflection rate: reduction in live-agent contacts
- Customer satisfaction (CSAT) score on bot-handled sessions
A well-tuned virtual agent can resolve 30–50% of tier-1 contacts, meaningfully reducing average handle time (AHT) and cost per contact.