How Five9 Uses AI to Improve Customer Experience
Updated
Five9 applies AI at three points in the contact center: AI Agents that resolve routine inquiries on their own, Agent Assist that supports live agents during conversations, and orchestration that ties channels and journey stages together. The stated goal is not automation for its own sake — Five9 frames the problem as the gap between containment rate (how many customers stopped engaging) and CSAT (whether they were satisfied), and positions its AI as the means to close that gap.
The Problem Five9 Targets: Containment vs. CSAT
Five9's own framing on its site is direct: a strong containment rate can hide a weak experience. Containment counts customers who stopped; CSAT measures whether they wanted to. A bot that deflects a question without resolving it inflates the first number and damages the second.
That distinction matters when you evaluate any AI contact center vendor. A high self-service rate is only a win if the customers who used it got what they came for. Five9's product story is built around making those two metrics move together rather than trading one for the other.
AI Agents for Routine Inquiry Resolution
Five9's AI Agents are aimed at routine, repeatable inquiries so live agents can spend time on higher-value conversations. The company's published customer results illustrate the pattern:
| Customer | Reported outcome | What it illustrates |
|---|---|---|
| Central Bank | 80% intent-matching accuracy through AI Agents | Routine inquiries resolved without a live agent |
| Exact Sciences | 60% reduction in test scheduling time | AI handling a structured, high-volume task |
| Lumexa Imaging | Automated follow-up reminders; $4M in revenue attributed | Proactive outreach, not just inbound deflection |
The Central Bank example is the most instructive for the containment-vs-CSAT question: intent-matching accuracy is the mechanism, and the stated benefit is that live agents get more time for personalized, loyalty-building care. In other words, the AI is measured on routing the right requests to automation, not on blocking customers from help.
What to check before assuming this fits you
- Intent coverage. The 80% figure is a customer result, not a guarantee. Ask what share of your contact reasons are structured enough to automate.
- Escalation path. Confirm how an AI Agent hands off to a live agent when intent matching fails — that handoff is where CSAT is won or lost.
- Measurement. Ask the vendor to report containment and CSAT side by side for your deployment, not containment alone.
Agent Assist for Live Agents
Agent Assist is the second lever: AI support during live conversations rather than instead of them. Alaska Airlines' case study describes scaling omnichannel support and equipping a remote workforce with AI-driven Agent Assist to simplify operations and improve efficiency.
The practical value here is different from AI Agents. Instead of deflecting volume, Agent Assist targets handle time, consistency, and agent confidence — which matters most in complex or emotional conversations where automation would hurt CSAT. If your contact mix is high-complexity, this is likely the more relevant capability.
Omnichannel Orchestration Across the Journey
Five9 describes its Intelligent CX Platform as "advanced orchestration across the entire customer journey." In practice, orchestration is what lets the other two pieces work together: context from an earlier channel carries into a live call, and an AI-resolved interaction is visible to the agent who picks up next.
Without orchestration, AI Agents and Agent Assist become separate tools with separate blind spots — a customer who fails self-service may have to repeat themselves to a live agent, which is exactly the kind of friction that drags CSAT down even when containment looks healthy.
How to Decide Whether Five9's Approach Fits
Five9 states it is trusted by 3,000+ global customers and offers a demo request and a Forrester TEI study download on its site. Pricing is presented through a "Pricing & Bundles" page rather than published rates, so cost needs to come from a direct conversation.
Use these conditions to frame that conversation:
- Consider Five9's AI story seriously if your priority is lifting CSAT alongside self-service rates, and you want AI Agents, Agent Assist, and orchestration from one platform.
- Press hardest on measurement if you have been burned by containment metrics before — ask for a pilot design that reports both numbers for your own traffic.
- Weight Agent Assist over AI Agents if your contact reasons are complex or regulated and deflection would backfire.
- Verify the customer outcomes yourself by reading the full case studies (Alaska Airlines, Central Bank, Exact Sciences, Lumexa Imaging) and asking how comparable those environments are to yours.
The core test is simple: ask any vendor — Five9 included — to show you customers whose CSAT held or rose as containment increased. That is the claim Five9's messaging is built on, and it is the right thing to hold them to.