Netic's AI handles the full operational complexity of service dispatch — assessing customer needs, evaluating technician skills, factoring in customer lifetime value, and optimizing scheduling — far beyond simple call answering.
Using an HVAC emergency as a concrete example, Melisa walks through how Netic agents do far more than answer phones: they diagnose the problem, assess the customer's value, and decide which technician to deploy and when. ✦ AI generated
Melisa Tokmak · No Priors · 2026-07-31 · original ↗
starts at this moment · 3:10
“So basically, say a customer calls an HVAC provider, what happens or what is Netic doing for them?”
It's actually a lot of the businesses we work with, this is why we started with essential services. The operational needs are very complex. It's not as simple as oh Eli's heat broke and now Melissa goes. It's that actually what kind of even units do you have? What kind of needs do you have? Can we come to you? Is it something that we need to come to you today or tomorrow? What is your lifetime value as a customer? So should we be deploying the best person who can only work on let's say boilers or new age systems today or later? So it's actually quite complex to first of understand what is the need from the customer can this company service it if so who when and to ensure that it is all optimized to in create customer delight to generate more revenue for the company right.
verbatim transcript · starts at 3:10
2:52call and Netic is actually providing the voice. >> Completely. >> And [clears throat] then the reasoning around, hey, this person needs some help and we should deploy somebody out to fix their H. >> Exactly. And it's actually a lot of the businesses we work with, this is why we started with essential services. The operational needs are very complex. It's not as simple as oh Eli's heat broke and
3:10now Melissa goes is it that actually what kind of even units do you have? What kind of needs do you have? Can we come to you? Is it something that we need to come to you today or tomorrow? What is your lifetime value as a customer? So should we be deploying the best person who can only work on let's say boilers or new age um systems today
3:31or later? So it's actually quite complex to first of understand what is the need from the customer can this company service it if so who when and to ensure that it is all optimized to in create customer delight to generate more revenue for the company right >> that makes sense what what what is a sort of like incumbent version of you know what you're doing or what are what
3:58are other players in the market or how should people think about you know what this replaces. >> So let's let's go back how how do people do this today? Obviously it's we are a two-year-old company. So before before us too, how were they doing that? So it's primarily with people. These companies are extremely large and if anything actually they can't grow because they have to keep investing in
4:19people to think of any kind of growth and for them they're eBida businesses. Many times they're actually owned by private equity. They need to care about their margins and what they make to be able to invest back in the business. The most important labor in the business is actually the people who are going to deliver the job, right? You want to focus every single thing to make your
- ·AI assesses full operational complexity of service dispatch
- ·Evaluates customer lifetime value before deploying technicians
- ·Matches job type to technician specialization in real-time
- ·Equipment type and problem diagnosis
- ·Urgency: same-day vs next-day deployment
- ·Customer value tier and service history
- ·Technician skill match for specific systems
- ·Traditional: answer call → send nearest tech
- ·Netic: diagnose → evaluate value → optimize deployment
- ·Goal: customer delight + revenue generation