Voice AI has quickly become one of the most visible applications of enterprise AI. But while automated voice tools can handle simple, repeatable interactions, sales conversations place much higher demands on speed, judgment, and control.
That is the premise behind Harmony, a new voice AI platform launched by monday.com. Built using technology from an acquisition, Harmony is designed to help revenue teams manage the calls that are often missed when lead volumes rise, sales teams are stretched, or customers need a response outside traditional working hours.
Speaking to CX Today, Vitali Margolin, Head of Harmony, said the platform was created as monday.com explored where voice could fit into the next generation of CRM.
What Is Harmony, and What Makes It Different?
Harmony is a voice AI platform designed to help revenue teams manage more customer conversations, without positioning AI as a straight replacement for salespeople.
The platform grew out of monday.com’s acquisition of voice AI company OneAI. Rather than simply embedding that technology into its existing CRM product, monday.com chose to launch Harmony as a standalone platform, which can connect with the wider system over time.
Its initial focus is enterprise sales. Harmony’s agents can support prospecting, discovery, lead qualification, objection handling, and warm handoffs to live reps. The platform also includes call center capabilities such as predictive and power dialing, inbound routing, branded caller ID, consent and compliance controls, and native CRM write-back.
But Margolin says its core value is giving businesses more capacity at the moments when human teams cannot scale fast enough.
“I’m not here to replace your team. I’m not. My AI will not close a $50,000 deal for you. It’s not what I’m here for. But it will help you achieve your potential, the full potential of your business.”
Harmony is not presenting voice AI as a substitute for high-value, relationship-driven sales conversations. Instead, it is designed to prevent revenue loss from slow follow-up, limited coverage, or the inability to contact every lead and customer at the right time.
For Margolin, that is particularly relevant during periods of high demand. A sales leader cannot simply add thousands of trained reps when a campaign, promotion, or seasonal peak generates more interest. AI agents, by contrast, can be deployed as demand changes.
“There’s no dial. I can’t just click a button and then get 50,000 more sales reps. But with AI, you can.”
Why Does Sales Need a Different Type of Voice AI?
Harmony’s other point of difference is its sales-specific design. Margolin argues that sales conversations cannot be treated like standard support interactions.
A customer service agent may need to retrieve information, route an issue, or complete a routine request. A sales agent, however, may need to identify the right contact, qualify their interest, respond to objections, discuss a competing provider, and recognize when a live representative should take over. As Margolin highlights:
“Having a sales conversation is very different than having a support conversation.”
Harmony uses smaller, task-specific models intended to handle specific parts of that process. The company says these models can help agents recognize voicemails, navigate gatekeepers, qualify prospects, capture data, and respond to objections during live calls.
Why does this matter? Margolin explains that the distinction becomes clearer once an agent leaves a controlled demonstration and enters a real customer environment.



