AI is starting to feel less like a tool you click and more like a coworker you direct and that shift changes everything. We sit down with Evan J. Schwartz, CIO and Chief Innovation Officer at AMCS Group, to unpack what happens as companies move from classic UX to what he calls AX, the agentic experience. If you lived through the early internet era, you will recognize the pattern: the first wave adds new tech on top of old work, and the second wave rewires the work itself.

We get specific about what leading an AI initiative actually looks like inside an enterprise: adopting AI across internal functions like HR and finance, building with AI inside product and engineering teams, and shipping enterprise-grade AI to customers in resource-intensive industries like waste, recycling, and sustainability. Evan explains why “AI knows your industry but knows nothing about your business,” and why context, governance, and real use cases matter more than flashy demos.

The heart of the conversation is the emerging role of the AI steward. We break down how stewards orchestrate agents, provide the right data and knowledge to reduce hallucinations, set targets and guardrails, and focus human attention on exceptions and strategy. We also explore why LLMs may become the new Excel, how roles compress toward generalists, and why the real upgrade is shifting your identity from output to outcomes.

If this sparks new ideas for your team, subscribe, share the episode with a colleague, and leave a review so more product and growth leaders can find it. What role in your org is most ready for AI stewardship?

Leave of absence sounds like a simple HR checkbox until you’re juggling federal law, 26-plus sets of state rules, and company policies that all overlap. We sit down with Romy Malviya, founder and CEO of PulpStream, to unpack why leave management becomes a paperwork-heavy risk zone and what it takes to make the process feel smooth for real humans at stressful moments like childbirth, surgery, and family care.

We get specific about where big HRIS platforms like Workday, UKG, Dayforce, and ADP tend to “lightly touch” leave, and why many teams either attempt to outsource the problem or run it in-house with spreadsheets, email chains, and manual tracking. Romy breaks down the three messages that resonate most with large employers: reducing compliance risk (including serious penalties), saving HR time that can stretch into many hours per leave case, and improving visibility so managers can plan coverage and schedules, especially in shift-based and blue-collar environments.

We also explore what AI should and should not do in HR. Romy shares how AI can review submitted medical certifications for completeness, validate provider details, and flag mismatches, while still respecting privacy by keeping medical reasons out of a manager’s view. The goal stays clear throughout: empower HR with better information and faster workflows, without replacing the human conversations that make leave administration compassionate and fair.

If you care about HR compliance, employee experience, leave of absence automation, and practical AI in the workplace, listen now, subscribe, and share this with someone who owns leave at your company, then leave a review with your biggest leave-management headache.

Funnels are comforting because they look orderly, but buying rarely is. Keith Zubchevich, President and CEO of Conviva, joins us to unpack what most digital analytics misses: the difference between tracking clicks and understanding intent. We dig into why two people can purchase the same product through completely different paths and why forcing everyone into a single “best journey” quietly hurts conversion.

We get concrete with examples like the “research shopper” who bounces between reviews and the shopping cart. A review-page visit is just a fact; the looped behavior pattern is the meaning. Keith explains how Conviva collects every session event, computes thousands of consumer behavior patterns in real time, and groups them into archetypes and segments you can actually act on. That shift from top-down questioning to bottom-up pattern surfacing helps teams focus on the changes most likely to move high-intent customers forward, instead of over-investing time and data science effort for marginal gains.

We also challenge the hype around agentic AI. Agents do not fix vague data or “AI-washed” dashboards. They get smarter when they can pull from accurate, structured behavioral context and start the conversation where the user actually is. We talk UX personalization, context-aware agents, and where Conviva fits alongside tools like funnels, heatmaps, and session replay as teams push toward hyper-personalized digital experiences.

If you care about product-led growth, conversion rate optimization, real-time customer analytics, and building better AI-assisted UX, this one will sharpen how you think. Subscribe, share this with a product or growth friend, and leave us a review with the biggest analytics blind spot you want to fix next.