Adrian McDermott
Chief Technology Officer, Zendesk. On 1 show, 1 appearance. The Shows tab opens the full record on each.
executiveengineerinvestor@amcdermo ↗LinkedIn ↗zendesk.com ↗
Adrian McDermott joined Zendesk in 2010 and helped scale its product and engineering teams from an early-stage company through its public offering, serving in product leadership roles before becoming CTO. Previously, he served as Chief Technology Officer at Attributor and held engineering leadership roles at Plumtree Software.
1shows
1appearances
17statements
2resolved
2supported
0contradicted
100%fully supported
Everything Adrian McDermott said on any show that made the record, most notable first. Each card names its show and opens the statement there.
McDermott: AI can automate 80-100% of text support, but voice is unready
“If it's an easy landscape and we can cover the API estate with what we have, you could really get to 80 or a hundred percent depending on where you want to go. So as of today, it's all there. I think voice isn't quite there, and that's it.”
McDermott: Production-ready mass-market voice AI is roughly a year away
“Well, I think it's almost, it's basically ready now, so we're only kind of a yearish away, but I think to get it mass market, mass scale, and always get the latency and reliability that we want, probably still, probably, you know, that's coming online in the n…”
McDermott: Automating Support Drives Increased Human Escalations
“One of the things that we say is automation drives escalation. You know, as I automate something, more and more people, the Alex's of the world are pressing zero and asking to talk to the operator. And that isn't coming away.”
McDermott: Lack of backend APIs is the primary blocker for AI agents taking action
“I think if you don't have an API on that system, we can't swivel chair yet. With an AI agent effectively or, you know, reliably. And, you know, we can vibe code and build the integration for them, but the API has to be there. And so mostly the blocker, like wh…”
McDermott: Coding models will drive support automation more than computer-use agents
“I actually think what's really going to make a difference more likely than computer use models, computer using models is just the improvements in coding models. And that's a little bit basing the future on the immediate past. Coding models have gotten gotten s…”
McDermott: True AI Memory May Require Tech Beyond Current LLMs
“We might not get there with the exact technology that we're using for large language models at the moment, but it feels like some way that we want to get to with sort of frontier level at AI.”
McDermott: Autonomous continual learning creates an unverifiable black box for enterprise support
“When we're changing the machine and we're writing new articles and we're building new macros, it's sort of easy for the humans who own that machine to understand what's going on. Like the head of support technology can be like, yep, yep, that is the correct wo…”
McDermott: 54% of Zendesk support-contacting users drove 95% of 2024 revenue
“If we look at our own company data, 54% of our customers contacted us for support in 2024, but they represented 95% of revenue.”
McDermott: Traditional customer support metrics are obsolete in an AI era
“Customer service is this human powered factory, right? The metrics are ones of throughput and effort. It's like tickets today, per day, time to first response. You know, all of these things where you're measuring productivity, average handle time. In an AI wor…”
McDermott: Generative Search Handles 30% to 40% of Support Inquiries
“They're deploying generative search and they're seeing, You know, upwards of 30, 40% of inquiries being handled by generative search.”
McDermott: Direct-Answer Search Is Now Table Stakes in Customer Support
“Users who spend, you know, probably two human generations learning to type into a box and process 10 blue links have suddenly pivoted, and they just want the answer and the results, and I think that's table stakes for customer support at this point.”
Zendesk: 47% of Customer Service Inquiries Stem From Business Failures
“We kind of looked at, we took a sample of. Fifteen million or more customer service conversations across send us customers. And we actually use chat GPT to classify the contact reasons or the intents and just kind of group them into cohorts. And you get someth…”
McDermott: Customer Support Will Add Dedicated LLM Channels
“And so I think, yes, we will, you know, if you think about, you know, you have a chat channel and a voice channel, and you have, you know, a messaging channel and an email channel, you're going to have an LLM channel. Where the LLM will kind of be the initiato…”
Zendesk uses Claude to evaluate support conversations for resolution-based pricing
“We have an agent that listens to every conversation that is automated and said, you know, cause we run a resolution platform and we charge for actual resolutions, not just conversations. And so we need to know that the customer's problem was resolved. And so w…”
McDermott: Enterprise AI Simulates Memory via Context Window Summaries
“I think we're experiencing memory through putting really good summaries into the context window, right, or into the prompt.”
McDermott: Zendesk has 20,000 customers using AI features
“Like Xendesk has 20,000 people using some kind, 20,000 customers using some kind of AI.”
One line per show, most statements first. The link opens Adrian's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
 BIG TECHNOLOGYLEDGER | Chief Technology Officer, Zendesk | 1 | 17 | 100% 2/2 | full record on Big Technology → |