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Your software vendor should own the outcome

Sponsored by Gainsight

SaaS companies are still selling seats, but AI means the next generation will sell outcomes instead

 

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I’ve sat through plenty of reviews of customer churn over the years, and the pattern is usually the same. Looking back at a lost account, you can almost always trace the decline to three or four months before renewal. The warning signs were there, the team knew what actions to take, and the customer success manager (CSM) had a strong understanding of the customer. But with a portfolio of 80 accounts competing for attention, this one didn’t get the focus it needed until the opportunity to change the outcome had largely passed.

 

That’s the challenge customer success (CS) teams have been fighting since the function was invented, and the place where the model consistently breaks down is in getting to every customer who needs a touchpoint at the right moment. Companies know what to do, but retention suffers because they don’t have the capacity to operate at the scale their customer base requires.

 

I’ve spent 12 years at Gainsight working on this problem: starting on the professional services team; working directly with customers; and now leading the customer organisation. During that time, I’ve seen health scores, risk signals, automated plays and digital customer success programs help teams better understand and support their customers.

 

But the basic maths hasn’t changed and there are more customers who could benefit from engagement than most teams have the capacity to reach. Hiring more people can help for a while, but this doesn’t scale indefinitely, and traditional automation often generates more alerts, tasks and workflows for teams to manage rather than expanding meaningful customer coverage.

 

What’s different now is that we’re starting to see companies use AI not just to surface insights, but to actively manage retention outcomes at a scale that wasn’t possible before.

 

The coverage problem CS has never escaped

 

For most customer success teams, there simply aren’t enough hours in the day to give every customer the level of attention they need. While strategic accounts receive regular engagement, coverage becomes less consistent further down the portfolio, and many smaller customers interact primarily through automated programs and renewal communications. 

 

Churn doesn’t happen overnight. It starts with small signs that a customer is losing momentum: adoption slows; priorities shift; a champion leaves; or questions go unanswered. Customer success teams have invested heavily in digital programs, health scores and automation to improve coverage, but most still have far more customers than they can engage consistently.

 

A new model built around outcomes

 

This is where AI-native services enter the picture, and it’s worth explaining what that term actually means because it’s more than a rebranding of existing approaches.

 

AI-native services refers to a model in which a vendor doesn’t just sell you software to help your team deliver an outcome. The vendor takes responsibility for delivering the outcome itself, with AI agents and human expertise working together. The customer buys a result, and the vendor owns the execution, the accountability and the risk that comes with it. In the context of customer success and retention, that means a vendor who manages your renewal motion end-to-end, not one who gives your team better tools to manage it themselves.

 

This is different from what most software vendors offer today and from traditional outsourcing. When a business process outsourcing (BPO) service provides more human labour at a lower cost, the quality ceiling remains limited, and the incentive structure doesn’t change. AI-native services combine the scalability of AI with the judgment of experienced humans for the moments that actually require it, and because the vendor is accountable for the outcome, their success is directly tied to yours. When the renewal closes, they win, but when it doesn’t, that’s their problem to own.

 

What changes when AI enters the CS motion

 

AI doesn’t change what good customer success looks like, because the fundamentals – proactive outreach, personalised communication, early risk identification and timely renewal conversations – have always been the same. CS leaders already know what the playbook should be, and the gap has consistently lived on the execution side rather than the strategy side.

 

AI makes it possible to execute proven customer success motions across an entire customer base, not just the accounts a team can reach. By drawing on health signals, product usage data, customer activity and renewal timelines, AI agents can identify opportunities for engagement and initiate outreach across every segment of the portfolio, including customers who may have received little direct attention in the past.

 

What CS leaders should be asking right now

 

None of this replaces the role of the CSM. In fact, it allows CSMs to spend more of their time where they add the most value, such as building relationships, understanding business goals, guiding customers through complex situations and leading important renewal or escalation conversations that benefit from human judgment and context.

 

The CS leaders who get ahead of this transition are the ones asking harder questions of themselves and their vendor partners, rather than waiting for the market to settle before making moves.

 

Solving the CS coverage disparity

 

Customer success was built on the idea that consistently showing up for customers, helping them get real value from the product, and staying ahead of problems before they become reasons to leave drives long-term retention. That core hasn’t changed and won’t. What’s changing is how many customers you can actually deliver that experience with the resources you have, and whether your vendor partners are willing to share accountability for making it happen.

 

The coverage disparity that CS teams have been navigating for years is now solvable in a way it genuinely wasn’t before. AI-native services represents a real shift in what software vendors are accountable for, and CS leaders who demand that accountability rather than accept the old arrangement will be in a fundamentally stronger position as this model matures.


CTA: See how Gainsight’s Atlas manages renewals end-to-end for enterprise customers: gainsight.com/atlas


by Brent Krempges, Chief Customer Officer, Gainsight

Sponsored by Gainsight
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