Ep 302 – Sarika Lamont (Vidyard) Kirsten Moorefield (Cloverleaf) & Sarah Royer (Nirvana Insurance)

1. AI coaching fails when it tries to act too human

One of the biggest misconceptions around AI coaching is that it should replicate a human executive coach. But the panel pushed back hard on that framing.

The reality: AI is not great at replacing empathy, nuance, or real human relationships. What it is great at is surfacing context, connecting systems, and helping people prepare for better conversations.

Kirsten shared research showing that people actually disliked AI coaches that tried to mimic human coaching techniques too closely — especially when the experience turned into endless reflective questions without actionable guidance.

“People loved the human coach because the human coach cared for them… and they hated the AI coach because it just kept asking rote questions.”

Instead of trying to replace managers or mentors, the best AI coaching experiences are helping employees prepare for the moments that matter most:

• Difficult conversations
• Performance reviews
• Career planning discussions
• Feedback conversations
• Cross-functional collaboration

The goal isn’t replacing human relationships. It’s making those relationships better.

2. The real unlock is orchestration — not another standalone tool

One of the strongest themes throughout the conversation was that companies already have most of the data they need for coaching. The problem is that the data lives everywhere — HRIS systems, one-on-one notes, performance tools, engagement surveys, competency frameworks, and Slack conversations.

Sarika shared how Vidyard initially started experimenting with AI through onboarding automation before realizing the much bigger opportunity: creating an orchestration layer that could pull together context from multiple systems and make it useful in real time.

“What I think the beauty of where AI will sit is to be the connector and bring all of those pieces together.”

That shift changed how they thought about AI coaching entirely. Instead of a chatbot sitting off to the side, AI became a mechanism for helping managers and employees make better decisions using all the information already sitting inside the organization.

The best AI coaching experiences won’t feel like standalone tools. They’ll feel like connective tissue across the employee experience.

3. Employees don’t just want coaching — they want certainty

One of the most interesting tensions in the conversation came up around employee expectations.

Many employees — especially younger employees and engineers — aren’t necessarily looking for reflection or coaching. They want clear answers:

• What exactly do I need to do to get promoted?
• How long will it take?
• What projects should I work on?
• What skills do I need to build?

Sarah and Sarika both talked about how common this has become inside their organizations, especially as career paths become less linear and jobs evolve faster than traditional frameworks can keep up.

“They want a map versus a compass.”

That line perfectly captured the challenge. AI can absolutely help employees navigate growth, but it cannot create a perfectly predictable roadmap for every career path.

The panel emphasized that employees still need to own their growth, experiment, take initiative, and navigate ambiguity. AI can support that process, but it can’t replace personal accountability.

4. HR’s role is shifting from process builder to systems orchestrator

Historically, HR teams were responsible for designing programs:

• Performance review cycles
• Career ladders
• Learning programs
• Feedback processes
• Development frameworks

Now, the challenge is figuring out how AI layers across all of it.

Sarika explained that HR’s role is increasingly becoming less about building more processes and more about enabling better conversations, connecting fragmented systems, and surfacing the right information at the right moment.

“HR’s job now is figuring out how we orchestrate the technology to enable all these things.”

Kirsten added that employees immediately disengage if AI feels like “just another HR tool.” The systems that win will reduce friction instead of adding more complexity.

That means the future of HR technology isn’t about creating another destination employees have to log into. It’s about embedding support directly into the flow of work.

5. AI transformation only works when you make it human

One of the most practical parts of the conversation came when Sarika walked through how Vidyard approached AI adoption internally.

Instead of rolling out an “AI or else” mandate, they treated AI transformation like a human behavior change initiative. That meant focusing heavily on:

• Enablement
• Experimentation
• Psychological safety
• Community learning
• Transparency

They launched AI office hours, monthly learning sessions, Slack channels for experimentation, and even encouraged employees to share funny AI-generated roasts of themselves to make the technology feel approachable.

“We rooted it on enablement and fun, and that’s what worked for us.”

The companies moving fastest aren’t necessarily the ones with the most advanced technology. They’re the ones creating environments where employees feel safe experimenting.

6. The future of AI coaching is hyper-personalized and embedded into daily work

The conversation ended on what might be the biggest insight of all: AI coaching only becomes valuable when it feels deeply relevant to the individual employee.

Generic nudges and broad leadership advice aren’t enough anymore. Employees want support that understands:

• Their role
• Their manager
• Their communication style
• Their team dynamics
• Their current challenges
• Their goals

“It has to feel so relevant.”

Kirsten described a future where AI coaching shows up directly inside the flow of work — before difficult one-on-ones, during collaboration moments, or while preparing for performance conversations — instead of sitting inside a separate platform employees have to remember to use.

That’s the shift many organizations still haven’t fully wrapped their heads around yet.

AI coaching isn’t about replacing humans.

It’s about helping humans work better together.

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