Dec 10, 2025 · 47m · saastr
How to Use AI to Hyper-Customize Go-To-Market at Scale with SaaStr's CEO and Chief AI Officer
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
SaaStr CEO Jason Lemkin and Chief AI Officer Amelia Ibarra present an operational playbook on deploying over 20 go-to-market AI agents to scale outbound outreach 32-fold, automate inbound qualification, and capture neglected pipeline revenue.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Jason holds 43.9% of the talking time here. How this is scored →
Jason as informed peer 5.0 Guest teaching 4.2 Guest disagreement 0.6 Jason pushing back 0.5
speaking balance: gold is Jason, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 34:25 Pushing back on delegating AI to rookie SDRs
Amelia forcefully rejects the premise of a $1B SaaS company's leadership team who planned to hand unproven AI SDR agents directly to newly hired entry-level SDRs.
Hardest push from Jason ▶ 32:50 Rejecting over-analysis of AI modalitiesJason pushes back against overthinking modality hype on social media regarding chat versus voice versus video, demanding founders just ship chat first.
Biggest teaching moment ▶ 20:30 Educating on sub-persona campaign segmentationAmelia provides detailed architectural guidance on breaking databases down into narrow 800-1000 contact cohorts targeted by dedicated sub-agents rather than blasting entire lists.
Jason holds their own ▶ 14:37 Dissecting human SDR funnel failuresJason articulates why unworked leads and slow human response cycles create low-hanging revenue opportunities that AI agents can easily monetize.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Jason as informed peer | Guest teaching | Guest disagreement | Jason pushing back | Why |
|---|---|---|---|---|---|---|
| Event Announcement: SaaStr Annual and AI Summit 2026 | 7 | 0 | 0 | 0 | Jason delivers an opening keynote monologue outlining the common mistakes companies make when implementing AI SDRs and framing how humans must first nail sales processes before scaling them with agents. | |
| Scaling Hyper-Customized Outbound Campaigns with AI Agents | 0 | 5 | 0 | 0 | Amelia presents proprietary operational data showing SaaStr's deployment of 20+ agents generating 60,000 hyper-customized emails at 32x the output of prior human reps. | |
| Evaluating Realistic Quality and Performance of AI Messaging | 7 | 2 | 1 | 1 | Jason explains realistic messaging expectations, arguing AI emails do not need to be flawless masterworks but rather consistent 4-to-6 out of 10s that beat average human SDR outputs. | |
| Outbound Conversion Metrics and Empowering Agents to Sell | 1 | 5 | 1 | 0 | Amelia highlights performance metrics across specific agent tools and explains how empowering agents to close lower ASP transactions yielded 15% of ticket sales. | |
| Capturing Unworked Leads and Eliminating Sales Friction | 8 | 2 | 0 | 1 | Jason elaborates on the high open rates, explaining that human SDRs routinely ignore low-tier or unworked leads, creating massive untapped revenue opportunities for AI to capture. | |
| Managing 24/7 AI Workflows and Intent-Driven Outreach | 2 | 7 | 1 | 1 | Amelia educates the audience on operational best practices, outlining sub-persona targeting, keeping campaign batches under 1,000 contacts, and managing 24/7 notification volume. | |
| Handling Prospect Perceptions and Value in AI Interactions | 7 | 3 | 1 | 1 | Jason and Amelia discuss prospect perceptions, concluding that buyers do not mind interacting with AI as long as the communication delivers immediate contextual value and responsiveness. | |
| Transforming Inbound Qualification and Instant Meeting Scheduling | 7 | 6 | 0 | 0 | Amelia details their automated inbound flow replacing slow manual routing, while Jason argues that traditional, patronizing SDR qualification gates should be completely eliminated. | |
| Inbound Milestones and Comparing Voice, Chat, and Video | 7 | 5 | 1 | 2 | Jason urges founders not to overanalyze the social media debate over voice versus chat versus video avatars, advising them to start simple with chat before investing heavy effort into video. | |
| Core Operational Lessons: Supervision, Orchestration, and Autonomous Selling | 6 | 7 | 2 | 1 | Amelia shares an anecdote advising a $1B SaaS executive against simply delegating unproven AI tools to junior SDRs, emphasizing centralized supervision and orchestration instead. | |
| Staffing for AI Success: Forward Deployed and GTM Engineers | 8 | 4 | 0 | 0 | Jason outlines the staffing requirements for successful AI deployment, arguing companies need both a vendor forward deployed engineer and an in-house technical GTM operator. | |
| Vendor Selection Criteria and Retaining Core GTM Talent | 3 | 7 | 1 | 0 | Amelia advises against conducting 10-vendor bake-offs and warns founders not to tie AI strategy to flight-risk executives, emphasizing rigorous reference checks and high-touch vendor support. | |
| Keynote Conclusion and Audience Follow-Up Plans | 2 | 1 | 0 | 0 | Jason and Amelia wrap up the keynote session and announce asynchronous and live follow-up Q&A opportunities for the audience. |
Statements from this episode (22)
Lemkin: AI sales agents only scale what humans have already nailed
“The way an AI agent works for sales for GTM is you figure out something that works with your team with humans. You figure out an email, an outreach, a script, a set of objections that you overcome, a set of questions. You nail it yourself, just like it has alw…”
Ibarra: SaaStr now employs more AI agents than human staff
“We do also have more agents than humans. So I literally just saw someone we know yesterday. I was like, oh, SAS for London looks so great. This is my first time here. How many SAS for employees did this? I was like, well, there's two on this stage there. One m…”
Ibarra: SaaStr's AI agents scaled outbound email volume 32x over human SDRs
“The average SDR we had here as a human would send, you know, on the low end, maybe 75 emails a month per rep, and at the high end, maybe somewhere like two, two eighties, 300, right, per rep per month. So if you look at this total over the last six months, alm…”
Ibarra: SaaStr's hyper-customized AI emails usually get replies on the first send
“And a majority of these target accounts are receiving, you know, highly customized messages and reply on the first send. So that's something I think that is also a big learning, is if you do this right and train the agents the right way, not only is it differe…”
Lemkin: AI SDRs Win Through 24/7 Consistency, Not Flawless Prose
“The real bar is better than the average human with 24, seven consistency. And that's which, that's what you're going to see in these emails, like pretty good. With not a lot of errors. That's good enough to crush it.”
Ibarra: SaaStr's Artisan AI achieves a 6% response rate versus 2-4% human average
“For artisan, that one has, it actually went up, it's about a six percent overall response rate now. You know, average for normal SDR is two to four.”
Ibarra: AI knows products significantly better than entry-level human SDRs
“AI will also know your product a lot better than most entry-level, like, SDRs. And so whatever you tell it about the product, it will contextualize for them and add value.”
Lemkin: AI agents generated 15% of event revenue that human SDRs ignored
“So the 15% of ticket revenue folks coming here, we, for Six years on and off. We tried to get our human SDRs to help us reach out to return attendees to get them to come to Sastradion London. They just wouldn't do it. It wasn't worth their time. They wanted to…”
Lemkin: SaaStr Human Reps Left 5- and 6-Figure Inbound Sponsor Leads Unanswered
“These are folks who reached out to us and said they wanted to sponsor SASTR for five or six figure tickets. And we did not respond to them. As our human team.”
Ibarra: Managing AI agent activity becomes harder than building agents
“Once you get a few agents, actually your problem becomes not having agents. Your problem is keeping up with your agents.”
Ibarra: Never unleash AI agents across an entire database at once
“You should never just unleash an AI agent on your entire, entire database. Like, Do not do that. It will not be customized. It's not going to work like this. Like, you do need to train either sub-agents, depending on what platform you use, or do, like, sub-cam…”
Ibarra: SaaStr caps AI sub-agent batches at 800 to 1,000 contacts
“I usually keep it in batches of like, 800 to a thousand. I don't try and do more than that. I try and get that hyper-customized on who I'm targeting with each of our sub-agents.”
Lemkin: Great AI often adds more value than a mediocre human
“And I really think, especially in 20, 26, we're all going to work in these heterogeneous worlds where we mix AIs and humans and imagining that I somehow mind talking to a great AI is backwards. A great AI is often going to add more value than a mediocre human.”
Lemkin: Most SDRs and qualifying BDRs will be eliminated by 2026
“And I really think most SDRs will die next year, but the meat, and I know we throw around these terms differently. The BDR that sort of smarmily qualifies you that that's going to die. Like we just, there's no need for that with these tools.”
Lemkin: Replacing qualifying reps with instant AI scheduling increases close rates
“If a prospect can have a wonderful time, get their questions answered for real without a used car salesman and book a meeting in real time, you're going to close more, whether it's one percent more or 20% more, it's much better.”
Lemkin: 80% to 85% of Users Prefer Text Chat Over Voice AI
“I can tell you on our first agent Delphi, we've done like a 150,000 chats. The ratio is about. 80, 20, 80%. Maybe it's 85, 15, 85%. People like to chat. 15% like voice”
Lemkin: AI Video Avatars Require Two Orders of Magnitude More Work Than Voice
“Voice is not a lot of work to train on your voice. It's a little bit of work, and video is two orders of magnitude more work, so just sequence them in.”
Ibarra: Setting up each AI agent at SaaStr took about two weeks
“On the amount of time it takes to get these set up, so each of these took about two weeks, except for the video thing I just showed you.”
Ibarra: Companies selling low-ASP products should let AI agents close autonomously
“I think for self-serve models or things that have a lower ASP, I think it's a big oversight that I see a lot of companies, they roll out things like a qualified even, or like an artisan, and they don't let it sell. They're like, oh, you know, I'm gonna book a …”
Lemkin: Never buy AI software without dedicated vendor deployment support
“If you can't get that help. Don't buy the vendor. Don't buy the vendor, no matter how slick the salesperson is AI or human. If you're not going to get the help to train and deploy. I'd rather have a worse vendor that will give me the help day and night.”
Lemkin: Zendesk automates 60-80% of enterprise support versus 20% for self-serve
“With our top Customers at Zendesk, we can automate 60 to 80% of support and related interactions. Okay. Makes sense. They train them for months, sometimes for months at Zendesk for their big customers. For our Self Survey AI, it's 20%.”