AI is the kitchen. Your team is the chef.

A great kitchen adds capacity and better equipment. It can’t tell you what to make or recognize when a guest has lost confidence. If the operation underneath is chaotic, better equipment helps you produce that chaos faster.

Customer experience leaders face the same dynamic. Many have invested in AI, run promising pilots, and built thoughtful strategies without seeing retention move. Their teams still use disconnected definitions of customer health, work from different signals, and hand off accountability at critical points in the journey. AI inherits that fragmentation.

At Pendo, improving the foundation started with the way we organized the work.

Eliminate the handoffs that cost you context and momentum

I’ve spent more than 17 years in go-to-market roles across sales and customer experience. Each team carries a different job: Sales earns trust, customer success turns the promise into value, and technical teams make the product work in the customer’s environment.

The biggest risk often sits between those teams. Every handoff creates another chance to lose context, accountability, or momentum.

At Pendo, we brought more than 100 people across Solutions Engineering, Customer Success, Technical Account Management, and Services into one organization, with one strategy and one P&L. We created a unified role that understood the customer from the first conversation through renewal.

The reorganization worked because we also redefined success, aligned incentives, and changed daily workflows. Enterprise churn came in below plan, escalations fell, and customers no longer had to explain their business to three different people.

Build the operating model before you automate it

Our new operating model was able to scale and become a repeatable motion because we focused on getting three fundamentals behind it right.

Define health together

Sales, Product, and CX need one definition of a healthy customer, including the signals that matter and the action each one should trigger. A score that means something different to every team won’t change behavior. This guide to building a customer health score offers a useful starting point.

Match coverage to risk and value

Once teams agree on what health looks like, use those signals to decide which accounts need dedicated human attention and where digital coverage can carry the load. Put your most intensive coverage where judgment can protect meaningful value. Customer success teams are moving toward more proactive systems for this reason.

Put product context in the workflow

Coverage decisions depend on seeing change early. Product analytics can reveal that adoption has slowed, a key workflow is going unused, or a champion has disengaged. Connect that behavior with customer health, then put the signal in front of the account owner where they already work.

Emburse shows how these pieces reinforce one another. Its customer signals lived across four systems. The company connected them, used Pendo to identify risk, and routed the output into Salesforce. The result: 224 at-risk accounts identified automatically, 3.1× faster action, and no additional CSMs.

AI helped the team decide where to focus, while the customer conversations still belonged to skilled CSMs.

Use AI to strengthen human judgment

That division of labor should guide your AI strategy. Let AI handle preparation and routing so your people can spend more time on a tense renewal, a scared champion, or a customer who has lost confidence.

AI can gather account history, summarize conversations, and flag a change a manager might miss. A person still has to read the room, rebuild trust, and decide what should happen next.

Emotional intelligence and influence belong in the core CX skill set. Hire and coach people to notice hesitation, uncover the concern behind an objection, and persuade another team to act on a customer signal.

Structure, product context, and human judgment reinforce one another. You don’t have to improve them all at once, but you do need to be deliberate about where you begin.

Turn the foundation into a focused plan

Start with the constraint that keeps your team reactive. If teams define health differently, align on the signals before adding automation. If managers spend hours compiling account history, run a one-week time audit and test one AI-assisted workflow. If the team sees risk but struggles with the conversation that follows, invest in coaching and role-play.

Sequence the work so each change makes the next one possible. Set a measurable outcome and run one focused test. You might align on health first, then use those signals to redesign coverage. If your signals are already strong, focus on how account owners respond to them.

Clear ownership, trusted product signals, and sound judgment will separate strong CX organizations over the next few years. AI can give those teams more time and context to protect retention.

See how Pendo helps CX teams give AI agents the product context to understand users, step in earlier, and offer more relevant support. Explore Pendo for Agents