Scalestack

Scalestack is an Autonomous Revenue Engine for enterprise GTM workflows at scale. We started with #RevOps as our first wedge because that’s where the pain is the loudest — fragmented data, brittle processes, and an urgent need to use AI for foundational and infrastructural. But from day one we knew the platform had horizontal potential. If you can orchestrate thousands of #agents to clean, enrich, score, and route GTM data… you can power any complex enterprise workflow. So when a world-class RevOps leader like Andy Mowat (Carta, Upwork, Box) came to me with the idea of building his Whispered on top of our agentic platform, I didn’t hesitate. What Andy built shows what happens when the infrastructure is solid: - agents that reason across multiple data sources - workflows that don’t break every week - real-time enrichment, scoring, and profiling with zero babysitting - and a product team that can focus on logic and outcomes, not plumbing The result is a fully autonomous engine under the hood — one that lets Whispered operate with the speed and precision of a scaled data team, without actually having one. Because this is what we think where the world is going: workflows become autonomous, humans focus on strategy. See it for yourself in Andy’s short video here (him explaining the agentic workflows, and the actual workflows and agents in action), and grab the full case study in the comments. And the best...I am SO grateful for the relationship I have built with Andy, someone that I respect deeply and who has pretty neat ideas all-the-time. Thanks Andy!

Episode 17 of our Revenue Engine Master Podcast is live! Mollie B. has spent her career building and rebuilding systems under real pressure — healthcare, HR tech, now travel — and you can tell. She thinks in product terms, not “ticket terms.” Pods, ownership lines, clean start/stop definitions, thoughtful speed instead of endless planning… this is how high-performing ops teams operate. There’s something I’ve seen over and over: people who come up through #marketing #ops (like Mollie) bring a different edge. They understand tools and tech, data, experimentation, and automation at a level that’s inherently tied to outcomes. That shows in how she hires, how she sets priorities, and how she avoids the firefighting trap that so many ops teams fall into. We also dug into #AI in a very real way: - How to pick a single use case, ship it fast, learn fast, and avoid the “boil the ocean” mistake that kills most enterprise pilots. - and this was my favourite quote: "Ops leaders who succeed aren’t the most technical — they understand human behavior. They design intuitive processes that make complex feel simple." A lot of this thinking maps directly to the work we’re doing at Scalestack. We think the future of AI is *autonomous*: freeing people from the grunt work so they can actually analyze, think, and design better systems, the human way. Check for the full episode link in the comments. Thank you Mollie! #RevOps #Scalestack Engine #RevenueEngineMasters

Can't wait to go to beautiful #Chicago next week! I’m co-hosting two very different, very operator-driven GTM sessions back-to-back, and if you’re in town, you should come. 📌 Tuesday, Nov 18 — Revenue Engine Masters - Dinner Series Co-hosted with Amazon Web Services (AWS) and Terret 6:00 PM | A small-room, deep-dive dinner with GTM and GTM Ops leaders on how teams are actually building modern revenue engines: clean data, agentic workflows, real-time enrichment, ICP alignment, and eliminating the “manual work tax.” No slides, no pitches — just real operator (and "jeffersonian"!) conversation around the table. (With great drinks and food in one of my favorite "foodie" cities!) 📌 Wednesday, Nov 19 — Fall CRO Roundtable (together with Warren Zenna / CROCollective, Fullcast, and Orbb) 2:30–5:30 PM | A bigger-format CRO discussion on what’s working, what’s breaking, and how GTM teams are adapting their playbooks for 2026 and beyond. Followed by cocktails & dinner :). If you’re in Chicago — or have a colleague who’d get value from either session — DM me and I’ll try to squeeze you in.

Chicago, see you soon! 🇺🇸 📌Next week we’ll be hosting the Revenue Engine Masters Dinner, alongside Terret and Amazon Web Services (AWS) — diving into how GTM is transforming, with data as the cornerstone for building truly intelligent, AI-powered revenue systems. 👉 If you want in, register here: https://luma.com/3nfcpfiz 📌 The next day (11/9), we’ll continue the conversation with The CRO Collective, Orbb and Fullcast teams at Chief, with another powerful session for leaders rethinking how to scale growth in a more connected, efficient way. 👉 RSVP now here: https://lnkd.in/eD9kWcfT We’re thrilled to land in Chicago with a series of strong events for the GTM community! 🚀 #RevenueEngineMasters #RevOps #GTM #Chicago #AutonomousRevenueEngine

Eliminating the Manual Work Tax: Lessons from Scalestack's Enterprise Journey We recently spoke with Elio Narciso, CEO of Scalestack, about building agentic automation for enterprise go-to-market teams. Here are the key lessons from their journey to landing MongoDB, Redis, and other major customers: → Focus AI on back-office work first. Scalestack discovered that 95% of AI investments fail when targeting customer-facing automation, while back-office process automation delivers measurable ROI. → Co-create with enterprise customers. They embedded "deployment engineers" with customers to build solutions collaboratively, then productized those learnings for the broader market. → Target entrepreneurial operators at large companies. Their MongoDB breakthrough came from cold emailing employee #8, who had curiosity about learning from vendors tackling similar problems. → Let customers write your messaging. Scalestack completely rebuilt their website using language extracted from hundreds of customer calls rather than internal assumptions. → Use content strategically for ABM. Their podcast serves as targeted relationship-building with specific prospects rather than broad audience growth. → Build intelligence into manual processes. They created agents that validate data sources and make contextual decisions rather than simple automation workflows. These insights from Scalestack demonstrate how enterprise GTM requires fundamentally different approaches than traditional SaaS playbooks. Listen to the full conversation with Elio Narciso on Category Visionaries to learn more about their approach to eliminating manual work tax here: