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Zoom introduces next-gen Zoom Virtual Agent to automate end-to-end customer resolution

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Zoom (NASDAQ: ZM) unveiled Zoom Virtual Agent 3.0 on Feb 24, 2026, a next‑gen agentic automation platform focused on end‑to‑end resolution across voice and chat. ZVA 3.0 adds an execution architecture, multimodal LLM inputs, continuous learning, and governance tools, with key features becoming generally available in Spring 2026.

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Positive

  • No‑match rate fell from 35% to 0%, improving first‑contact understanding
  • Deflection rose from 0% to 30%, saving over 1,000 agent hours per month

Negative

  • None.

News Market Reaction – ZM

+1.68%
4 alerts
+1.68% News Effect
-8.9% Trough Tracked
+$439M Valuation Impact
$26.58B Market Cap
0.1x Rel. Volume

On the day this news was published, ZM gained 1.68%, reflecting a mild positive market reaction. Argus tracked a trough of -8.9% from its starting point during tracking. Our momentum scanner triggered 4 alerts that day, indicating moderate trading interest and price volatility. This price movement added approximately $439M to the company's valuation, bringing the market cap to $26.58B at that time.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

Chatbot failure to resolve: 43% Chatbot loop frustration: 38% Repeat information frustration: 37% +5 more
8 metrics
Chatbot failure to resolve 43% Share of surveyed consumers citing unresolved issues
Chatbot loop frustration 38% Surveyed consumers frustrated by getting stuck in a loop
Repeat information frustration 37% Surveyed consumers frustrated by repeating information
No-match rate reduction 35% to 0% Zoom internal virtual agent query understanding improvement
Deflection rate increase 0% to 30% Zoom billing team self-service deflection over three months
Agent hours saved 1,000+ hours/month Billing team time saved via higher deflection
Enterprise Connect 2026 dates March 10–12, 2026 Conference where ZVA demo is planned
Price change -4.68% Move on analysis date before article publication

Market Reality Check

Price: $75.54 Vol: Volume 6,014,371 is 34% a...
normal vol
$75.54 Last Close
Volume Volume 6,014,371 is 34% above the 20-day average of 4,499,403, signaling elevated pre-news activity. normal
Technical Trading above the 200-day MA at 82.2, roughly 11% below the 52-week high of 97.58.

Peers on Argus

ZM fell 4.68% with above-average volume while key peers like HUBS (-3.4%), GWRE ...

ZM fell 4.68% with above-average volume while key peers like HUBS (-3.4%), GWRE (-2.61%), SSNC (-2.06%), and PTC (-1.96%) also traded lower; only TYL was modestly positive (+0.76%), pointing to a largely sector-wide risk-off tone.

Historical Context

5 past events · Latest: Jan 29 (Neutral)
Pattern 5 events
Date Event Sentiment Move Catalyst
Jan 29 Earnings date notice Neutral -0.5% Announced timing of Q4 and full-year FY26 financial results release.
Jan 12 AI education initiative Positive +1.8% Launched national K–12 AI learning experience highlighting $10M education commitment.
Jan 08 AI solopreneur program Positive -1.1% Opened nominations for AI-focused Solopreneur 50 recognition and grant program.
Dec 15 AI Companion 3.0 launch Positive -3.3% Released AI Companion 3.0 with agentic workflows and federated model approach.
Dec 10 Brand campaign launch Positive +0.5% Debuted 'Zoom Ahead' campaign and highlighted strong customer satisfaction metrics.
Pattern Detected

Recent AI and brand-related announcements often saw mixed-to-negative next-day price moves, suggesting the stock has not consistently rewarded product or marketing news with sustained gains.

Recent Company History

Over the past few months, ZM has issued several AI- and brand-focused updates, including AI Companion 3.0 and marketing initiatives like the "Zoom Ahead" campaign, alongside an earnings-date notice for Feb 25, 2026. Price reactions ranged from modest gains to notable declines, with multiple AI-related launches followed by negative moves. Today’s virtual agent announcement fits into this broader AI customer-experience narrative but comes after a string of insider sales and mixed market responses to similar news.

Market Pulse Summary

This announcement highlights Zoom Virtual Agent 3.0’s role in automating end-to-end customer resolut...
Analysis

This announcement highlights Zoom Virtual Agent 3.0’s role in automating end-to-end customer resolution, citing improvements like a drop in no-match rate from 35% to 0% and higher deflection saving over 1,000 agent hours per month. It fits a broader AI and CX strategy evident in recent AI Companion and campaign news. Investors may focus on how these capabilities influence customer adoption, enterprise workflow integration, and future financial disclosures around cost efficiency and retention.

Key Terms

agentic automation, multimodal large language model (LLM), no-match rate, deflection rates
4 terms
agentic automation technical
"unveiled Zoom Virtual Agent 3.0 (ZVA), the next evolution in agentic automation."
Agentic automation refers to computer systems that can make decisions and perform tasks on their own, without needing a person to control every step. It’s like a smart robot that can analyze information and act independently, which can help businesses work faster and more efficiently—but also raises questions about oversight and reliability.
multimodal large language model (LLM) technical
"Multimodal large language model (LLM) intelligence: ZVA will be able to interpret and act on"
A multimodal large language model (LLM) is an advanced AI system that can understand and generate text while also processing other kinds of input like images, audio or video — think of it as a translator that can read, listen and describe what it sees. Investors track these models because they can unlock new products, cut labor costs, speed decision-making, and create competitive advantages or regulatory risks that directly affect a company’s future earnings and valuation.
no-match rate technical
"Zoom’s no-match rate (the percentage of total conversation turns in which a virtual agent"
No-match rate is the percentage of employee or customer records that fail to match official government or third-party identity databases (for example, Social Security or tax ID records). It matters to investors because a high no-match rate signals potential compliance problems, payroll errors, or data-quality issues that can lead to fines, legal exposure, higher administrative costs, or disruptions to operations—similar to having a mailing list with many wrong addresses that prevents reliable communication and billing.
deflection rates technical
"deflection rates (measuring the percentage of customer support inquiries resolved through self-service"
The percentage of customer questions or problems that are resolved through self-service tools (like FAQs, chatbots, or knowledge bases) rather than by a live support agent. For investors, a higher deflection rate can signal lower operating costs, faster customer service, and a product or documentation that scales well—similar to how self-checkout lanes can keep long lines moving and reduce staffing needs at a store.

AI-generated analysis. Not financial advice.

  • New virtual agent capabilities reduce customer effort, prevent repeat contacts, and give service leaders confidence to scale automation
  • With 43% of consumers saying chatbots fail to resolve their issues, Zoom Virtual Agent 3.0 can help organizations close that gap

SAN JOSE, Calif., Feb. 24, 2026 (GLOBE NEWSWIRE) -- Today Zoom Communications, Inc. (NASDAQ: ZM) unveiled Zoom Virtual Agent 3.0 (ZVA), the next evolution in agentic automation. ZVA introduces a new execution architecture and expanded AI capabilities designed to resolve customer issues end to end, seamlessly hand off to human agents, and help enterprises shift from transactional service interactions to connected customer relationships.

Organizations face growing pressure to automate more customer service interactions as volumes rise and cost efficiency becomes a priority. Enterprises are entering what Zoom calls the “resolution economy,” where competitive advantage is defined not by speed, but by first-contact resolution, reduced repeat contacts, and end-to-end workflow completion. Yet disjointed virtual agents can get stuck in silos, unable to seamlessly transfer full context to human agents, creating bottlenecks for complex issues. A recent Morning Consult report commissioned by Zoom found that the top three chatbot frustrations among the groups surveyed are failure to resolve the issue (43%), getting stuck in a loop (38%), and having to repeat information (37%).

“Agentic AI was just the beginning,” said Chris Morrissey, general manager of Zoom CX. “Zoom Virtual Agent 3.0 orchestrates multi-step workflows across systems, continuously learns from human resolutions, and provides full transparency into every agentic action. This allows organizations to confidently automate complex interactions. It’s more than a product update, it’s another step toward more connected customer relationships, where AI and humans work together to resolve issues faster and build trust.”

What's new in Zoom Virtual Agent 3.0

The next evolution of Zoom Virtual Agent operates across voice and chat, and introduces a new execution architecture designed to automate complex, cross-system interactions with enterprise governance. Unlike competing solutions focused primarily on conversational containment, ZVA is built for execution and resolution, securely orchestrating multi-step actions across systems with observability, control, and measurable outcomes. The following new features are now available:

  • Enhanced AI execution framework: Zoom Virtual Agent 3.0 is built on the latest Zoom AI Companion 3.0 architecture, allowing multi-step workflows to run across compatible CRM, billing, order management, and other enterprise systems with full observability and governance. This extends Zoom’s agentic AI capabilities by enabling full-cycle resolution rather than just single-step responses.
  • Agent journey transparency and governance enhancements: Account admins can now see the data sources, decision logic, and workflow paths behind automated actions. CX teams can audit performance, troubleshoot breakdowns, and refine automation policies, enabling responsible scaling without sacrificing adherence or control.

The following next-generation enhancements, expected to be generally available in Spring 2026, will expand ZVA’s ability to handle more complex workflows while improving reliability, oversight, and operational efficiency:

  • Multimodal large language model (LLM) intelligence: ZVA will be able to interpret and act on customer-submitted documents, images, and structured identifiers such as serial numbers and forms. By extracting relevant data directly from visual and document inputs, the virtual agent can automate service scenarios that previously required manual review, helping reduce customer effort and the need for escalation.
  • Continuous learning: When integrated with Zoom Contact Center, ZVA extracts insights from escalated engagements that human agents successfully resolved and applies those validated recommendations, with oversight and controls, to similar future requests. This creates a structured feedback loop based on human-agent resolutions, reducing repeat contacts and improving resolution consistency over time.
  • Proactive outbound engagement: The virtual agent can initiate contact, confirm updates, and complete tasks based on known events. This helps organizations resolve issues before customers reach out, reducing inbound volume and customer effort.

Zoom Virtual Agent in action

Modern customer issues rarely fit into a single scripted response. Zoom Virtual Agent (ZVA) is designed to move beyond basic automation, including authenticating users, interpreting inputs, orchestrating backend systems, and completing real business actions within a single, connected workflow.

By reducing repetitive steps and minimizing handoffs, ZVA helps increase first-contact resolution while lowering handling time and operational effort. An example of this is below:

  • Scenario: End-to-End Warranty Fulfillment
    • When a customer submits a warranty claim, ZVA can authenticate the user, extract a serial number from an uploaded image, validate eligibility across backend systems, schedule device pickup, initiate a replacement order, and confirm shipment, all within one continuous interaction.
    • If escalation is required, the complete workflow history, including verified inputs and actions already taken, transfers seamlessly to a live agent. The customer does not need to repeat information or restart the process, accelerating resolution and improving the overall experience.

Raising the bar for resolution

As organizations automate more interactions to manage rising volumes and cost pressures, performance is increasingly measured by resolution quality — not containment rates alone. In the resolution economy, automation must accurately interpret intent, execute across systems, and meaningfully reduce operational load.

Zoom is already seeing measurable results internally after implementing the latest updates to ZVA in its own virtual agents:

  • Query understanding accuracy: Zoom’s no-match rate (the percentage of total conversation turns in which a virtual agent failed to understand the user's input) has dropped from 35% to 0%, meaning almost all customer requests are accurately interpreted on the first attempt, reducing repeat queries and friction.
  • Significant time savings: On Zoom’s billing team, deflection rates (measuring the percentage of customer support inquiries resolved through self-service tools) rose from 0% to 30% in just three months, saving over 1,000 agent hours per month.

Zoom Virtual Agent 3.0 reflects Zoom’s broader ambition to power intelligent, connected customer experiences where AI and human agents work together to complete complex interactions with speed, transparency, and trust. This is automation designed not just to scale, but also to earn trust with every interaction.

See Zoom Virtual Agent in action

Read the Zoom blog to see how ZVA supports Zoom’s own customers by improving resolution at scale, and stop by Zoom’s booth (#519) at Enterprise Connect 2026, March 10–12 in Las Vegas, to see a live demo.

About Zoom

Zoom (NASDAQ:ZM) provides the AI-first, open work platform built for human connection and purposefully designed to move conversations to completion. From entrepreneurs to global enterprises, customers choose Zoom to seamlessly collaborate, communicate, and drive outcomes across meetings, chat, phone, contact center, events, and more — all with the built-in assistance of Zoom AI Companion. Founded in 2011, Zoom is headquartered in San Jose, CA. For more information, visit zoom.com.

Zoom Public Relations
Travis Isaman
press@zoom.us


FAQ

What is Zoom Virtual Agent 3.0 (ZM) and when was it announced?

Zoom Virtual Agent 3.0 is an end‑to‑end customer resolution platform announced Feb 24, 2026. According to the company, ZVA 3.0 expands agentic execution, multimodal LLM inputs, and governance to automate complex workflows across voice and chat.

How did Zoom (ZM) measure improvement in query understanding with ZVA 3.0?

Query understanding improved dramatically, with no‑match rate falling from 35% to 0%. According to the company, this indicates almost all customer requests are now accurately interpreted on first attempt, reducing repeat contacts and friction.

What operational benefits did Zoom (ZM) report after deploying ZVA updates?

Zoom reported deflection rates rose to 30%, saving over 1,000 agent hours per month. According to the company, those gains came within three months on its billing team, lowering handling time and operational effort.

When will Zoom Virtual Agent 3.0 features be generally available for customers of ZM?

Key next‑generation ZVA features are expected to be generally available in Spring 2026. According to the company, availability will expand multimodal LLM intelligence, continuous learning, and enhanced governance controls.

How does Zoom Virtual Agent 3.0 (ZM) handle escalations to live agents?

ZVA transfers full workflow history and verified inputs to live agents to avoid repeat information. According to the company, this seamless handoff preserves context and accelerates resolution when human intervention is required.
Zoom Communications Inc

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