Outbound calling is one of the most important workflows in service businesses. But confirmations, follow-up, and re-engagement are hard to scale without adding cost, headcount, and operational drag.

That’s why we launched Outbound Voice AI.

In this webinar, Hatch AI experts Kristen McCormick, Charlie Lasswell, Chris Wren, and Steven Knollmeyer walked through how Hatch’s new outbound Voice AI works, where it fits in the customer journey, and how it works alongside AI-powered SMS, email, and inbound call handling.

We also covered some ServiceTitan calendar booking updates. Read on for the skim-friendly recap.

Watch the webinar recording here

TL;DR

• Hatch now supports AI-powered outbound calls directly inside campaigns
• Outbound Voice AI works alongside Hatch’s AI-powered SMS, email, and inbound call handling to scale the communication that is critical to customer satisfaction and revenue
• Strong early use cases include appointment confirmations, speed to lead, estimate follow-up, and re-engagement
• The AI can leave custom voicemails, send follow-up texts, and transfer to humans
• The Hatch interface also has new ServiceTitan calendar enhancements for booking, rescheduling, and technician logic

Outbound Voice AI walk-through

Here’s what the team walked through in the live demo.

Where Outbound Voice AI fits in

Until now, Hatch AI has worked across two areas: Voice AI for answering inbound calls, and Messaging AI for powering trigger-based outbound campaigns across SMS and email (where you could add a manual call step). Outbound Voice AI completes the picture — now every channel and every direction is AI-powered in one system. Read the full launch announcement here.

Outbound Voice AI works inside your existing workflows

Outbound Voice AI is now another step inside a campaign, which means teams can build sequences like:

• SMS → AI call
• AI call → follow-up text
• AI voicemail → email reminder
• AI call → human transfer if needed

With Outbound Voice AI now sitting alongside inbound Voice AI, SMS, and email in the same system — customer communication is now even easier to scale across the entire journey.

The flow is simple:

1. A campaign trigger fires
2. The AI places the outbound call
3. It detects whether the call is answered or sent to voicemail
4. It either continues the conversation, leaves a voicemail, or moves to the next campaign step

In the demo, Charlie walked through an appointment confirmation flow.

If the customer answers, the AI can:

• Greet them by name
• Reference appointment details
• Confirm availability
• Route the call if changes are needed

If the customer doesn’t answer, the AI can:

• Leave a custom voicemail
• End the call and trigger the next step
• Send a follow-up SMS

Because it lives inside campaigns, Outbound Voice AI works alongside the same automation Hatch users already rely on.

The strongest use cases are operational

The webinar emphasized that Outbound Voice AI works best for operational conversations when a customer already expects communication from your business—as opposed to cold outreach, marketing blasts, or calling aged lead lists.

Examples shared included:

• Speed to lead outreach
• Appointment confirmations
• Estimate follow-up
• Post-appointment “happy calls”
• Recurring service reminders
• Re-engaging past customers

That’s not to say you can’t use any promotional language or ask qualifying questions—it’s just that outbound Voice AI is most effective (and most compliant) when there’s an existing relationship. Operational use cases tend to have the highest answer rates and the best customer experience.

Why outbound works well for Voice AI

Outbound calls tend to be simpler than inbound ones. That’s because inbound Voice AI must be ready to handle dozens of scenarios — new leads, rescheduling, billing questions, vendor calls, and more.

Outbound Voice AI agents, on the other hand, can have one clear goal, like confirming an appointment or following up on a quote.

That makes it easier for the AI to stay focused and guide the conversation. The AI can also personalize calls using CRM data like:

• Customer name
• Appointment date and time
• Job type
• Company name

That context makes the conversation feel relevant rather than generic.

Multi-channel follow-up makes it stronger

Rather than placing a call multiple times a day, Outbound Voice AI works best when paired with other channels. For example:

1. AI places a call
2. Customer doesn’t answer
3. Hatch sends a follow-up text

That text might say:

“Hey [First Name], we tried calling about your appointment. If it’s easier, feel free to reply here or book online.”

Some customers prefer phone, others prefer text. Campaign automation lets you reach both.

Human takeover is built in

AI handles the routine conversations. Humans handle the complex ones.

If a customer wants to speak to a person, asks a complex question, or needs to reschedule, the AI can transfer the call to a human representative.

Before transferring, the system provides a summary of the conversation, so the representative has context when they answer.

ServiceTitan calendar enhancements

The webinar also introduced updates to Hatch’s ServiceTitan calendar integration. This included a mix of new and existing features with an enhanced UI that groups them together into one easier-to-manage panel.

More control over booking actions

Businesses now have more granular control over what the AI can do inside ServiceTitan.

New options include:

• Creating appointments
• Rescheduling appointments
• Confirming appointments
• Canceling appointments
• Adding notes for technicians

For example, customers can leave details like:

• Gate codes
• Parking instructions
• Pet warnings

Those notes are automatically added to the job.

Advanced scheduling controls

The Hatch team also showed more advanced booking logic, including:

• High-priority booking: Certain job types can override normal availability — for example emergency service calls or high-value jobs.
• Skills-based scheduling: The AI can consider technician skill levels when booking. That means specialized jobs can automatically be routed to the right technician.

Q&A highlights

The webinar included dozens of audience questions. Here are some of the most common ones.

What happens if someone answers but doesn’t say anything?

The AI repeats the greeting once or twice. If there’s still no response, the call ends automatically.

Can the AI call multiple times if someone doesn’t answer?

Yes. Campaigns can include multiple call attempts or follow-up steps. However, Hatch recommends spacing attempts out rather than calling repeatedly in a short window.

Can the AI send a text if the call isn’t answered?

Yes. Many customers pair outbound calls with SMS and email follow-up.

Can the AI transfer to a human?

Yes. If a customer asks for a human or a more complex issue comes up, the call can be transferred to your team.

Do customers know they’re speaking to AI?

Yes. For outbound automated calls, regulations require the caller to disclose that it is an automated assistant. That disclosure is included in the greeting message.

How does Hatch avoid calls showing up as spam?

Hatch takes several steps to improve call reputation, including:

• Caller ID registration
• 10DLC verification
• Carrier registration processes

Following best practices with call cadence and use cases also helps maintain strong deliverability.

Can teams test the AI before launching?

Yes. Hatch includes an AI playground where teams can test conversations and refine prompts before going live.

Can the AI follow a specific sales style?

Yes. Prompts can define tone, conversation style, and how the AI handles objections.

Can the AI reference information from SMS conversations?

In many cases yes, especially when information is stored in the CRM or contact record.

Want to learn more?

If you’re a Hatch customer, reach out to your Account Manager here.

If you’re not a Hatch customer, you can learn more or book a demo here.