Picture this: a customer's order is sitting in a warehouse, delayed by three days. Your support team knows. Your system knows. But the customer doesn't. Not until they check the tracking link, see the bad news, and pick up the phone already frustrated.
Even with an inbound voice AI agent, there was no better option. Your AI could only wait for the call to come in. There was no way to get ahead of the problem, no way to reach the customer first, no way to turn a reactive situation into a proactive one.
We're excited to share that's no longer the case. With Outbound Voice, your AI can place calls. With Proactive Voice, it knows when to. Underpinning both are over 2,000 quality improvements that make every conversation cleaner, faster, and more reliable.
Outbound Voice
Until now, even an inbound voice AI agent was purely reactive. Your AI was always waiting. The customer had to recognize a problem, decide to reach out, and initiate the conversation — all before your AI said a word.
Outbound Voice flips that model. Your AI can now initiate calls to confirm an order flagged for fraud review, follow up on a ticket that's been open too long, remind a customer that their subscription renews tomorrow, or close the loop on a resolution that required a callback.
The best customer service call is one the customer never had to make.
Outbound calls are powered by the same voice AI that handles inbound. Same natural conversation, same ability to take action in your systems, same end-to-end resolution. The difference is who initiates.
Outbound calls can be triggered via API or automatically based on workflow rules you define, tied to the same events and conditions you're already tracking in your systems. You control the use cases, the call cadence, and when calls should escalate to a live agent.
Proactive Voice
Outbound Voice gives your AI the ability to call. Proactive Voice gives it the intelligence to know when.
Proactive Voice monitors signals across your customer data. Order statuses, open ticket age, payment failures, subscription events. It triggers outbound calls automatically when the right conditions are met, turning a reactive support model into a proactive one.
Proactive Voice triggers are built in your workflow editor, the same place you manage inbound call flows. You define the signal, the timing, the message goal, and the escalation path. Every call is logged, summarized, and tied back to the original ticket or order.
For teams dealing with high volumes of predictable issues, the impact adds up quickly. When customers get a call before they even realize there's a problem, inbound volume for those issue types drops. The support team spends less time explaining bad news and more time handling the complex cases that actually need a human.
Dr. Cool Services is one of the Las Vegas Valley's most trusted HVAC and home services brands. They’re using delight.ai Voice to handle inbound booking — and proactive outreach for maintenance scheduling.
2,000+ improvements to the foundation
The biggest part of Voice 2.0 isn't one headline feature. It's the 2,000+ fixes and improvements that make every call better: cleaner, faster, more reliable, more natural.
These improvements touch every layer of the voice stack. We've bucketed them into six categories, each addressing a real failure mode that our customers and their customers were running into.
Individually, each of these improvements is incremental. Together, they represent a meaningful step change in call quality. The average call handled by Voice 2.0 is faster, cleaner, and more reliable.
If you're not yet using delight.ai Voice, this is the moment to start. The foundation has never been stronger. With Outbound and Proactive Voice, you're no longer limited to meeting customers where they are. You can reach them before they ever pick up the phone.
