The Missing Layer in Your AI Strategy

[Un]Churned Chapter 016

Post-sales is being rebuilt for the AI era. Can your data keep up?

Here’s what’s on our minds this week.

🎙️ Building Post-Sales From Scratch Looks Different Than You Might Expect

Ghazi Masood, CRO of Replit, doesn’t have any CSMs. Instead, he relies on “product advocates” who handle onboarding, retention, and expansion. Each advocate works with a field engineer who manages technical details before and after the sale. In their usage-based model, if a customer stops building, they stop paying. So, the whole post-sales approach focuses on delivering ongoing value, not just hitting renewal dates.

In episode 179 of [Un]Churned, “Why Replit’s CRO is Hiring 200 GTM People in 12 Months ft. Ghazi Masood,” host Josh Schachter talks with Ghazi about building a post-sales approach at a company that grew from $2M to $150M in revenue in less than a year. Ghazi’s model combines roles that most companies keep separate. He values product passion more than sales experience and focuses on delivering new use cases to keep customers, instead of relying on QBRs and health scores.

For CS and revenue leaders, the real question isn’t whether to copy this model. It’s about recognizing which old assumptions from a seat-based, renewal-focused approach no longer make sense.

Here’s the Full Episode:

Watch the full episode right here or on your favorite podcast app, and listen for these two things:

1. How Ghazi approaches account segmentation and book-of-business ratios when the whole user base is non-technical, and how this affects hiring decisions.

2. What Replit is doing to nurture a culture around building internal tools, and the impact it’s made on post-sales discussions.

🎯 The [Un]Churned Take: Your Agents Are Only as Good as Your Context

Last year, Shopify co-founder and CEO Tobi Lutke made waves with his argument that context engineering would replace prompt engineering as the core skill in AI. That shift is happening, but it requires a change in how teams work with their data. Agents are only as useful as the context they can draw from, and in Customer Success, the most valuable data has never lived in a system.

And as Artemis II flies closer and closer to the moon, we can’t help but recall when Cognizant CIO Neal Ramasamy coined the term “dark side of the moon” to describe the relationship context that never makes it out of a CSM’s head and into a health score.

The instinct is to connect more systems and feed agents more data. Research suggests that’s the wrong move. And why’s that? As context fills up, recall accuracy drops, even on models with large windows.

The better instinct is curation: what does an agent actually need to know to take the right action on this account, right now? But curation only works if the right signals exist in the first place, including the unstructured ones. The relationship context that used to live only in a CSM’s head now has a path into the system: emails, Slack threads, and meeting transcripts.

Gainsight CEO Chuck Ganapathi framed the design principle in a recent LinkedIn post: “Agents don’t need dashboards and buttons; they need context and the ability to act.”

Gainsight’s MCP launch last week reflects the same logic. By connecting structured customer data from Gainsight CS with the unstructured relationship signals from Staircase AI, agents draw on a curated, unified picture of every account, not a firehose of disconnected data.

If you’re curious where your context layer currently stands, here’s a useful exercise. Take a high-stakes prompt such as “summarize the renewal risk across my top 20 accounts” or “flag accounts where stakeholder engagement has dropped in the last 30 days.” Ask honestly whether your current data could answer it. If the answer is no, you’ve found your starting point.

See what’s possible with Gainsight MCP: explore use cases and prompts →

☕ Off Topic: What Else We’re Reading

“How You Could Be Using AI in 2026” by David Arnoux (LinkedIn Post)

Don’t skip the comments. There’s a strong thread around how teams are still stuck in “prompt mode,” while the real value comes from wiring AI into actual systems and processes, not just experimenting with it.

“Why AI Is Changing How SaaS Products Are Designed” by Fintech Global

SaaS is quietly shifting from building features and workflows to building systems that interpret intent and take action. For CS and revenue leaders, you’re no longer driving usage, you’re on the hook for proving the system is actually doing something that matters.

📅 Coming Up

Pulse 2026 — Retention is being rewritten in real time. AI, scale, digital—everything is changing how customers stay. Pulse 2026 is the #1 conference where CS, education, community, and revenue leaders go to figure it out together. Join us May 27-28 in Las Vegas and use code UNCHURNED for a special rate.

Register at gainsightpulse.com →

AEO Unplugged — Join us on April 9 for a half-day virtual event where CS, community, and education leaders will share what AEO actually means for post-sales teams. You’ll learn from real experts, see what it takes to move from fragmented content to a connected ecosystem, and walk away thinking like a builder.

Register here →

The New Rules of CS — Gainsight’s ongoing webinar series is tackling the questions CS leaders are wrestling with right now. Two sessions are already on demand, and two more are coming up: Turning Risk Signals Into Action and Stop Tracking Adoption, Start Predicting Retention.

Catch up on the full series here →

Wrapping Up

Ghazi’s team didn’t wait until the system was perfect. They built the model, filled the gaps, and kept moving. It’s a good instinct to follow.

See you next Tuesday 🧠

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