What happens when you go all-in on AI tools in a completely remote organization at scale?
That's where Marchelle Mooney, VP of Sales at MangoMint, found herself.
MangoMint is vertical SaaS for salons and spas with a ~$4K ACV and a five-day sales cycle. Not exactly the profile you'd expect to be running one of the most disciplined remote revenue organizations in SaaS. But Marchelle's team is closing in on a 7.2x ARR-to-OTE ratio, has increased win rates 7% in two quarters, and has given reps 16 hours back per month. All fully remote, all with lean headcount.
In this session, Marchelle breaks down the exact three-layer AI Rigor Stack she built to get there: the Clarity Layer, the Cadence Layer, and the Co-Pilot Layer. She also walks through the full tool stack (Notion, Slack, Salesforce, Snowflake, Sigma, Momentum) and how data flows automatically to reps without them ever hunting for a dashboard.
The core insight: the problem was never the tools. It was fragmentation. And the path to fixing it runs through subtraction, not addition.
If you're running a remote or hybrid revenue org and feel like you're running fast but not getting anywhere, this one's for you.
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Hey everybody - we are LESS THAN 60 DAYS out from the biggest B2B and AI event of the year. SaaStr Annual is coming back to the SF Bay Area this May, and if you're not registered yet, what are you waiting for?
This is where the real deals get done. 68% VP-level and above. 36% CEOs and founders. 25% AI-first professionals. This isn't a conference, this is THE room where S-tier decision makers show up to figure out what's next.
But here's the deal: ticket prices go up FAST. Like, actually hundreds. Don't be that person who waits and then pays full price.
Lock in your spot TODAY. Go to podcast.saastrannual.com and use my exclusive discount for SaaStr AI SF 2026.
May is closer than you think. See you there.
SaaStr 846: 10 Things to Know Before You Deploy Your First AI SDR with SaaStr's CEO and CAIO
If you're about to roll out your first AI SDR, or you're on your second or third deployment and still not getting the results you want, this one's for you.
Amelia Lerutte, SaaStr Chief AI Officer, and Jason Lemkin, SaaStr CEO and Founder, walk through everything they've learned from running 20+ AI agents in production at SaaStr, including four AI SDRs spanning outbound, inbound, customer success, and sponsor engagement. After 10 months, 1.5 million inbound sessions, and over 200,000 outbound messages sent, they've made enough mistakes to save you a lot of time and money.
In this session they cover:
Why the tool doesn't matter as much as you think, and what actually does.
The single biggest mistake both early-stage startups and billion-dollar companies make when deploying their first AI SDR.
How to segment ruthlessly so your agent has the right context for every prospect instead of one big, generic brain.
Why consistency beats brilliance, and what "pretty good at scale" actually looks like in practice.
The minimum traffic and list size you need before an inbound or outbound AI SDR is worth deploying.
How many humans you actually need to run this well, and what happens when you don't have them.
What the first 30 days should look like, and why nothing is ever truly set and forget.
The real story behind Amelia AI, SaaStr's multimodal video agent, including what they'd do differently if starting over.
They also get into lookalike audiences as a list-building hack for early stage companies, when to build versus buy, and what it actually feels like when someone tries to prompt inject your agent at scale.
If you've been on the fence about deploying an AI SDR, or you've deployed one and it's underperforming, this is the most practical breakdown of what it takes to make one work.
Resources mentioned: SaaStr AI Agents directory: saastr.ai/agents SaaStr Annual 2026: May 12-14, SF Bay Area
SaaStr 845: How SaaStr Built a $5 million Pipeline Machine with 1.5 Humans and 20 AI Agents with SaaStr's Chief AI Officer and Momentum from Salesforce's VP of GTM
Amelia LeRutte, SaaStr's Chief AI Officer (and the person Jason Lemkin calls "the AI Agent Whisperer"), breaks down exactly how she went from managing a 10-person team to running 20 AI agents that generated $4.8M in additional pipeline — and closed half of it.
In this episode, Amelia walks Jonathan Kvarfordt, Momentum from Salesforce's VP of GTM through:
— Her journey from social media manager to Chief AI Officer, including the three-month deep dive where she locked herself in a room to figure out AI agents
— The full breakdown of SaaStr's 20-agent stack, including how they split work between tools like Salesforce AgentForce, Artisan, Qualified, Clay, Momentum, Gamma, and Zapier
— A live demo of their multi-agent workflow: how a single form submission triggers a chain of agents that enrich data, build personalized Gamma decks, and draft follow-up emails, automatically
— Real results: deal volume doubled, win rate doubled, and $2.4M closed from AI-sourced pipeline in just 8 months
— The "90/10 rule" for deciding when to buy an agent vs. build one with vibe coding on Replit
— Live demos of Digital Jason (Delphi), Amelia AI (Qualified), and a sponsor portal being vibe-coded in real time
Whether you're running a lean startup or scaling a go-to-market team, this is one of the most tactical breakdowns of an AI agent stack you'll find.
🎟️ Heading to SaaStr Annual in May? Talk to Amelia AI on the event site for a promo code: https://www.saastrannual.com/
Managing 1-2 AI agents? Easy. Managing 20+? That's a different game entirely.
After 9+ months running nearly 30 AI agents in production at SaaStr, we've learned what actually breaks at scale - and nobody's talking about it. This isn't about deployment tips or vendor selection. This is about the brutal realities that only emerge when you're juggling 20+ agents generating $1M+ in revenue.
1. The Context Switching Tax
Managing 20 agents = managing 20 employees who all speak different languages. Each needs daily 1-on-1s. The math doesn't work: 20 agents × 20 min = 6.7 hours/day, but you only have 3-4 hours of capacity.
2. The New Agent Blackout Period
Every new agent costs you 2 weeks of chaos. While onboarding Monaco, Artisan's response rates dropped 3% because contacts went stale. You can only safely add 1.5 agents per month max - any faster and you're running in place.
3. The AI Agent Succession Planning Crisis
You're the single point of failure for $1M+ of AI-driven revenue. Only 2-5% of your team could manage these agents. What happens when you get hit by a bus? Go on vacation? Leave the company?
4. The Agent as Truth-Teller
"You're 56% behind target. Block 3 hours tomorrow or adjust your goal." Your agents don't sugarcoat. They have all the data and they'll roast you every day. Is that helpful or demoralizing? We still don't know.
5. The Compliance/Security Drift
You ran a security audit in January. It's now February. You've shipped 40 updates. Did you re-audit? Probably not. Your security posture is degrading in real-time while you iterate at AI speed.
BONUS #6: You Lose Patience with Humans
After managing agents that respond instantly and work 24/7, humans feel painfully slow. "What do you mean you don't know the answer? My agent knows instantly." This makes you worse at managing actual people.
Sales/Outbound: Artisan, Monaco, Agent Force
Inbound: Qualified
RevOps: Momentum, Attention
Marketing: 10K (custom AI VPM), Gamma, Opus Pro
Customer Support: HappyFox
Internal: SaaStr Sponsors portal (custom vibe-coded)
Amelia Lerutte - Chief AI Officer, SaaStr
Jason Lemkin - Founder & CEO, SaaStr
The uncomfortable truth: Managing 20+ agents makes you worse at managing humans. You get used to instant execution, no pushback, 24/7 availability, and perfect memory. Then humans feel... inefficient.
Maybe the future isn't "how many agents can I add" but "how deep can I go with the ones I have."
Subscribe for weekly AI deployment content from the trenches. No theory. No vendor pitches. Just what actually works (and breaks) at scale.
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Hey everybody - we are LESS THAN 90 DAYS out from the biggest B2B and AI event of the year. SaaStr Annual is coming back to the SF Bay Area this May, and if you're not registered yet, what are you waiting for?
This is where the real deals get done. 68% VP-level and above. 36% CEOs and founders. 25% AI-first professionals. This isn't a conference, this is THE room where S-tier decision makers show up to figure out what's next.
But here's the deal: ticket prices go up FAST. Like, actually hundreds. Don't be that person who waits and then pays full price.
Lock in your spot TODAY. Go to podcast.saastrannual.com and use my exclusive discount for SaaStr AI SF 2026.
May is closer than you think. See you there.
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This episode is Sponsored in part by HappyFox:
Imagine having AI agents for every support task — one that triages tickets, another that catches duplicates, one that spots churn risks. That’d be pretty amazing, right? HappyFox just made it real with Autopilot. These pre-built AI agents deploy in about 60 seconds and run for as low as 2 cents per successful action. All of it sits inside the HappyFox omnichannel, AI-first support stack — Chatbot, Copilot, and Autopilot working as one. Check them out at happyfox.com/saastr