A Software Company Just Decided to Run Renewals For You

What Gainsight’s pivot signals about the future of post-sales, and why CS leaders should be paying close attention.

Last week I wrote about how to put yourself in the top 10% of CS leaders. One of the things I said was to pay attention to what AI-native companies are doing, how investors are placing their bets, and what shifts in the market might tell us about where things are heading.

Last week, something happened that brings all of that together in one announcement.

Gainsight just told the market it is no longer only a software company.

I want to walk through what they actually did, because I think it’s one of the clearest signals we’ve gotten about the future of post-sales at this moment. Not because one announcement decides anything, but because it points in the same direction the pricing data, the hiring data, and the investor data have all been pointing for about a year.

When a 15-year-old category leader like Gainsight puts its own business model on the line, it usually means it can see something the rest of us are still debating.

Stay with me here as this post gets a little theoretical but also lands on the practical (what all this means for you as a CS leader).

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What Gainsight actually announced

At its Pulse conference, CEO Chuck Ganapathi announced that customers can now hire Gainsight to run their renewals.

Not buy software to help their team run renewals. Hire Gainsight to do the work.

They’re using a combination of AI agents and humans, and they’re getting paid based on whether retention actually improves. They’re calling it “retention-as-a-service.”

Here’s how it works. Most companies can’t afford to put a dedicated CSM on every account. The long tail of customers, sometimes thousands of them, gets very little attention and quietly churns. Gainsight is now offering to take that entire renewal motion off your plate. AI agents handle the outreach, the follow-ups, the risk assessment, even the contract execution. Humans they call “Renewal Agent Managers” step in for the edge cases, the escalations, and quality control.

You’re no longer buying a tool. You’re buying an outcome - renewed customers.

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The shift underneath everything

For most of our careers, software sold capacity. You bought a license that helped a human do a job faster. The human was still the worker. The software was the tool. A big part of our job in CS was making sure the humans on the customer’s side actually used that tool.

AI agents break that link, because now the software can be the worker.

Once that’s true, a lot of what we’ve taken for granted starts to wobble, and you can see it in how companies are pricing things.

Seat-based pricing dropped from 21% to 15% of SaaS companies in a single year. Hybrid models, where you pay a base fee plus usage, are now the most common approach. Pure outcome-based pricing, where you only pay when the work is successfully completed, is still small but is widely expected to become the default for AI products. Gartner expects more than 40% of enterprise software spend to move to usage, agent, or outcome-based models by the end of the decade.

I know pricing models aren’t the most exciting topic, but read those numbers as one sentence: the thing companies are paying for is shifting from access to a tool toward the work the tool does.

Gainsight is simply the first big incumbent to say it out loud and reorganize around it.

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What this means for post-sales

Here’s the part that’s uncomfortable, and then the part that’s genuinely good.

Post-sales is the most exposed function, because so much of what we do is exactly what agents come for first. High-volume, repeatable, playbook-driven work. Renewal outreach. Onboarding sequences. Health-score triage. Tier-one support.

There’s a reason Gainsight started with renewals. The work is already proceduralized, and the outcome is easy to measure. You can put a number on a renewal rate. That makes it the easiest thing to hand to an agent, and the easiest thing to price on results.

So if your team’s value is “we run the playbook,” I think that value is going to get automated by agents. I don’t say that to scare anyone. I say it because the leaders who accept it early are the ones who’ll be fine.

Now the good part.

In Gainsight’s model, the human doesn’t disappear. The human moves. The role they describe is judgment, escalation, quality, and designing the system the agents run inside. The agents handle the volume. The person handles everything that doesn’t fit neatly in a guardrail.

That should sound familiar, because it’s the same shift I wrote about with Forward Deployed Engineers a couple of weeks ago.

The reason those two things are connected is subtle but important. The moment you promise a customer an outcome instead of just handing them a tool, you are the one on the hook if it doesn’t happen. You can’t hand the work off and hope the customer’s admin figures it out. You have to put your own expert hands on it. That’s why AI-native companies are putting technical people right next to their customers, and it’s the same logic behind Gainsight’s renewal pods.

Post-sales is going to split the same way. The repetitive work goes to agents. The people who remain do higher-judgment, more strategic work, sitting closer to the customer, and there will be fewer of them for every dollar of revenue.

In plain terms: expect smaller post-sales teams, made up of people who blend three things at once. Technical fluency to configure and manage the AI agents. Business acumen to tie the work to revenue. And the human skills that have always mattered: trust, judgment, and relationships. Think of it as a customer success version of the Forward Deployed Engineer. Someone who can set up the agents, read the data, and also sit across from a customer and earn their confidence.

That’s the shape of the next few years, as best I can see it.

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Why this connects to everything we’ve been talking about

I’ve spent a lot of this series on the building blocks of a modern CS org. How to forecast. How to map the customer journey. How CROs should think about Customer Success. How to turn CS into a revenue engine.

This is the moment those skills stop being separate and start being one strategy.

Forecasting matters more, not less, when you’re paid on outcomes. If your company only gets paid when a customer renews, then your read on who will and won’t renew stops being a slide in a QBR. It becomes the number the whole business runs on.

A clean customer journey map stops being a nice-to-have and becomes the actual set of instructions an agent follows. An agent can only run a process that’s been clearly written down, step by step. If your journey lives in tribal knowledge and a few people’s heads, there’s nothing for an agent to execute, and nothing you can scale.

Reporting into the CRO gets easier when your function is finally measured in retention and expansion instead of activity, because you’re speaking the same language as the rest of the revenue org.

And turning CS into a revenue engine is exactly what Gainsight just did at the company level. They took their own post-sales function and turned it into a business someone else can buy.

The throughline is that post-sales is being asked to grow up. We’re moving from a function that helps the company hit a number to one that is directly accountable for it, the same way sales has always been accountable for its quota. We’re finally being given a seat at the revenue table, and everything we already know (forecasting, customer journey mapping, playbooks) still matters, just in a whole new way.

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What I’d be doing right now

If I were running a post-sales org today, here’s where I’d focus.

I’d examine which parts of my current post-sales motion are playbooks and which parts still require human judgment. Automate more of your playbooks and admin. CS leaders are being asked to increase the efficiency of their teams and are being given less money for headcount. Automating processes is the easiest way to increase efficiency and save money, whether we like this change or not.

Next, I’d start speaking the language of outcomes. If you can’t already describe your team’s impact on company revenue and on your customers’ businesses, you’ll be at a disadvantage. If the CFO compares the work your team does to an outcome-priced alternative (like the one Gainsight is offering), you will need a strong argument for why the things your team does, the things only humans can do, can’t simply be outsourced.

I’d treat data quality as king. An agent is only as good as the playbook and the data it runs on. The teams with clean health data and well-mapped journeys are the ones who’ll capture this leverage. Invest in capturing good data now and you will thank yourself for it later.

And I’d protect and invest in the human layer that survives all of these changes, the things only humans can do. The relationships, the judgment, the escalations, the strategy. That’s work still worth investing in, and it won’t disappear no matter how good AI gets.

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A fair word of caution

I try not to get swept up in announcements, so let me push back on my own post.

Most of what we know about Gainsight’s move comes from Gainsight and a supportive investor. There’s no public pricing yet. Whether agents actually run renewals better than people, or just cheaper, is still unproven. It launched to a small set of enterprise customers, which is a polite way of saying it’s early.

There’s also a real risk here. Services are historically lower-margin than software. The entire bet is that AI lowers the cost of delivery enough to keep software-like economics. If the agents need a lot of babysitting (i.e. constant human intervention), this turns into an expensive outsourced service with a nicer logo.

So I’m not telling you the future is decided.

I’m telling you the direction is now clear enough to plan around. What companies pay for in post-sales is moving from seats (how many licenses you bought) to outcomes (did the customer actually renew and grow). The work is splitting into two piles: the stuff you can automate, and the stuff that genuinely needs human judgment. And the leaders who sort their own team into those two piles, before someone above them does it for them, are the ones who’ll still be here, running something bigger, when the dust settles.

Thanks for reading Real Talk with CS Impact. If this resonated, share it with another CS leader who’s trying to read the same tea leaves about what is happening in post-sales.

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If you missed my guide on Forward Deployed Engineers, you can download it here.

Need help navigating all of these changes in post-sales? Book a free call with me here. You are not alone in this.