There’s a question that should guide every AI decision today. It’s not about model accuracy, deployment speed, or any of the technical metrics.
It’s simpler than that, and infinitely more complex: What do we owe each other?
It’s a question that cuts to the core of what Customer Success is all about—understanding our shared responsibility to one another. That’s the spirit behind [Un]Churned, Gainsight’s podcast where industry leaders dig into the human stories behind durable growth.
In [Un]Churned Episode 152, host Nick Mehta, CEO of Gainsight, sat down with Venk Chandran, Chief Product Officer at PathFactory, to unpack what it really takes to deploy AI responsibly.
The Philosophy Behind the Product
Venk’s career has taken many forms before ultimately landing in tech.
Long before Venk led Product at PathFactory, a content intelligence platform helping B2B buyers navigate self-service journeys through AI-powered content agents, he was a radio host covering underground electronic music for the Canadian Broadcasting Corporation. “The hardest thing you’ll ever do as an interviewer is try to get more than a monosyllabic response from an artist,” he laughs. “You have to pull the real story out of them.”
That instinct to dig for truth never left him. In his early tech roles, including payroll systems and later Customer Success at Salesforce, he learned the responsibility of getting things right when people’s livelihoods depend on it. “It was mission-critical to get people paid,” he recalls. “That never left me.”
Today, as AI reshapes how buyers and businesses interact, that sense of obligation has only grown stronger. When algorithms influence decisions, the question of what we owe each other matters more than ever.
Are Your Buyers Are Anxious?
Here’s what most AI conversations miss: the people on the receiving end are scared.
“When I speak to marketers, I hear a lot of anxiety,” Venk says. “Their jobs are unbundling.” The workflows that defined go-to-market teams were built on deterministic rules: if a lead does X, we do Y. But customers don’t live by formulas. “Some days their boss yells at them, and they’re just having a bad day,” he adds, “There’s no rule for that.”
That’s why PathFactory focuses on building AI agents on trusted content, not general web data, so buyers can self-educate confidently, knowing the information is validated and transparent. “It’s all about what we owe: the most accurate information to our buyers,” says Venk.
Education as an Ethical Obligation
For Venk, responsible AI starts with education. Vendors owe it to customers to explain how AI works, not just what it does. “What we owe to our customers is educating them more,” he says. “Not just the gloss of AI, but how it truly works.”
That means helping teams move from deterministic workflows to probabilistic reasoning—understanding that AI is about patterns, not certainties. The anxiety people feel isn’t about learning new tools. It’s about redefining their roles in a new system.
Education turns that fear into confidence. And it’s not just an ethical responsibility, it’s a competitive advantage.
A customer education strategy that builds confidence and drives adoption should:
Make learning accessible and continuous
Offer on-demand courses and microlearning paths so users can explore new AI workflows at their own pace.
Connect learning data to customer outcomes
Track education metrics—course completion, engagement, certification—alongside adoption and retention data to measure real impact.
Turn learners into advocates
Build certification programs that not only teach but empower. Certified users become trusted internal champions and public advocates for your product.
Educated customers are confident customers—and confidence is the antidote to AI anxiety.
Turning Philosophy Into Practice
For Product and CS Leaders:
- Build transparency into every release. Launch features with educational courses or in-app walkthroughs explaining how your AI works and where data comes from.
- Design for validation. Give users simple ways to confirm outputs—think visible data sources, audit logs, or confidence scores.
- Empower your teams first. Train internal stakeholders on how to talk about AI responsibly so they can lead with empathy and truth.
For Customer Success Teams:
- Acknowledge fear, then educate. Identify sentiment signals tied to AI features and respond with learning content instead of sales messaging.
- Co-create learning paths. Partner with Customer Education teams to address real questions customers are asking in QBRs or support calls.
- Celebrate milestones. Use automation to nudge customers when they complete a learning path or validate an AI output.
For Everyone:
- Validate before trusting. Ask “why” an AI response makes sense before you act.
- Stay curious. Keep learning through self-paced modules or experimenting with your own prompts.
- Lead with empathy. Every automation changes someone’s day—make sure it’s for the better.
The Question That Matters
At the end of the day, what do we owe each other is the question that should guide every AI implementation decision.
Do we owe our customers systems they can understand and trust? Absolutely.
Do we owe our teams clarity about how their roles will evolve? Without question.
Do we owe the market honest conversations about what’s possible—and what’s not? Always.
The technology will keep changing. But the human obligation—to lead with truth, transparency, and empathy—remains constant. As Venk puts it: “It’s always a constant reminder of how I do things.”
If you’re inspired by stories like Venk’s, there’s plenty more where that came from. Tune into [Un]Churned—the podcast where customer-obsessed leaders share the wins, lessons, and human moments that drive durable growth. Catch up on more episodes here.
