Sep 23, 2026 · 36 min · 11 segments
What happens when you combine Amazon-level operational efficiency with cutting-edge AI automation? You get a total transformation of how modern companies handle their internal support and ticketing…
Where do you believe startups consistently outperform incumbents in a space like this? How are you able to navigate the strategy and move forward and outperform some of the bigger companies?
Yeah, so so this is kind of like startup philosophy or ethos, I guess, on my side, but I think there's there's two ways where you as a startup have to be excellent at relative to your your legacy competitors, and also to your like, you know, competitors of our ilk, like the any of flavors that we compete against every day, but Those two areas are speed and service.
We are moving much faster in terms of how we're deploying AI and helping them automate work.
But it's also the speed and clock cycle of iterations between customer conversations.
So we pride ourselves on if we have a demo with a customer that we like, we think it's a qualified opportunity, we're really impressed by them, we want to work with them.
If they have feature requests on that initial call, we want to turn that feature request around as soon as possible, within a day or hours if we can.
Because if prospects see that and they're like, wait a second, I'm working with this legacy provider who if I have a feature request, it goes on a backlog and I have no idea what happens and it takes months if not years for it to get built.
When they come and engage with a company like Ravenna and they're getting their feature requests shipped live to production in hours or days if not hours, like that is a meaningful shift.
A customer of ours gave us a compliment, which was basically like, you guys make me feel like I'm your only customer.
They should feel like we have a very high SLA internally for how quickly we get back to customers.
But we are very proactive at any time a customer writes something in the channel.
We are at least acknowledging it very fast and then either answering their question or giving them an estimation on timeline if they have a feature request.
Where do you believe startups consistently outperform incumbents in a space like this? How are you able to navigate the strategy and move forward and outperform some of the bigger companies?
Yeah, so so this is kind of like startup philosophy or ethos, I guess, on my side, but I think there's there's two ways where you as a startup have to be excellent at relative to your your legacy competitors, and also to your like, you know, competitors of our ilk, like the any of flavors that we compete against every day, but Those two areas are speed and service.
We are moving much faster in terms of how we're deploying AI and helping them automate work.
But it's also the speed and clock cycle of iterations between customer conversations.
So we pride ourselves on if we have a demo with a customer that we like, we think it's a qualified opportunity, we're really impressed by them, we want to work with them.
If they have feature requests on that initial call, we want to turn that feature request around as soon as possible, within a day or hours if we can.
Because if prospects see that and they're like, wait a second, I'm working with this legacy provider who if I have a feature request, it goes on a backlog and I have no idea what happens and it takes months if not years for it to get built.
When they come and engage with a company like Ravenna and they're getting their feature requests shipped live to production in hours or days if not hours, like that is a meaningful shift.
A customer of ours gave us a compliment, which was basically like, you guys make me feel like I'm your only customer.
They should feel like we have a very high SLA internally for how quickly we get back to customers.
But we are very proactive at any time a customer writes something in the channel.
We are at least acknowledging it very fast and then either answering their question or giving them an estimation on timeline if they have a feature request.
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