Pod Engine
Podcast thumbnail for Humans In The Loop

Humans In The Loop

Claim This Podcast

by Kasey Roh & Galina Fendikevich

5.0(3 reviews)
7 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇺🇸

Podcast Overview

For enterprise leaders deploying AI that actually works without losing the humans who make it work. Humans In The Loop is a bi-weekly show hosted by Kasey Roh and Galina Fendikevich. Two operators navigating the two extremes of the AI era: Silicon Valley's AGI frenzy on one side, the boardrooms still asking "but does it work on our documents?" on the other. Every episode: one real problem, one working framework, and zero vendor fluff. 🎧 Also on Spotify and Apple Podcasts: - Spotify: https://open.spotify.com/show/5CAwQDcofIzMM9p5GIChOo - Apple Podcast: https://podcasts.apple.com/us/podcast/humans-in-the-loop/id1892864937 💼 Connect with Us: - Kasey: https://www.linkedin.com/in/kaseyroh/ - Galina: https://www.linkedin.com/in/gfendi/

Language

🇺🇲

Publishing Since

4/12/2026

AppleView on Apple PodcastsRSS Feed

Reach the team behind Humans In The Loop

Verified contact details for this show aren't on file yet — sign up to get notified when they land.

Sign up for updates

Recent Episodes

Episode thumbnail for Humans In The Loop Ep 7. Why Anthropic and OpenAI Are Copying Palantir's FDE Playbook

May 8, 2026

Humans In The Loop Ep 7. Why Anthropic and OpenAI Are Copying Palantir's FDE Playbook

<p>Anthropic just raised $1.5B with Blackstone, Hellman &amp; Friedman, and Goldman Sachs. OpenAI raised $4B with TPG, Bain, and Advent the same day. Both labs are building delivery organizations explicitly modeled on Palantir's forward-deployed engineer playbook.</p><p>In this episode of Humans In The Loop, Kasey Roh and Galina Fendikevich unpack the following question: are FDEs the right model for enterprise AI adoption?</p><p>00:00 Trivia: Anthropic vs OpenAI on the secondary market<br>04:00 The news: $5.5B raised to fund delivery organizations<br>06:30 Why Wall Street is funding deployment, not just models<br>08:30 "Having the model alone doesn't change your workflows" — Goldman's quiet admission<br>12:00 Why enterprise environments are a rat's nest (and why APIs alone don't ship)<br>15:00 95% of enterprise AI pilots fail. MIT NANDA on the gap between API and production.<br>17:30 What Palantir's 20-year playbook actually proves<br>19:00 The 6,000-company ceiling: why this only works at the top<br>22:30 FDE economics: $350K to $500K+ salaries and what they mean for customers<br>24:00 The permanent retainer: why FDE deployments don't end<br>26:30 Lock-in dressed as transformation<br>28:30 The contrarian take: this isn't bullish, it's the opposite<br>30:00 The mid-market opportunity nobody is solving yet</p><p>🗣️ Follow us on YouTube: youtube.com/channel/UCJbkvAHHTRlo2EXkGyUrA-g/<br>🎧 Also on Spotify and Apple Podcasts: <br>- Spotify: https://open.spotify.com/show/5CAwQDcofIzMM9p5GIChOo<br>- Apple Podcast: https://podcasts.apple.com/us/podcast/humans-in-the-loop/id1892864937<br>💼 Connect with Us:<br>- Kasey: https://www.linkedin.com/in/kaseyroh/<br>- Galina: https://www.linkedin.com/in/gfendi/</p><p>#enterpriseai #humansintheloop #humanintheloop #generativeai #aiadoption</p>

Episode thumbnail for Humans In The Loop Ep 6. Token Economics in Enterprise AI: Why Your AI Budget is Already Blown

April 25, 2026

Humans In The Loop Ep 6. Token Economics in Enterprise AI: Why Your AI Budget is Already Blown

<p>Token Maxing: The New KPI or the Next Enterprise AI Budget Trap?</p><p>Token economics is reshaping how enterprises think about AI spending. In this episode of Humans In The Loop, Kasey Roh and Galina Fendikevich unpack Jensen Huang's token maxing framework, Uber's blown 2026 AI budget, Meta's failed leaderboard experiment, and why only 28% of finance leaders can measure AI ROI.</p><p>00:00 Token Maxing Intro<br>01:09 Jensen Token Trivia<br>03:22 Budget Reality Check<br>06:24 Token Economics Framework<br>09:57 Tokens Per Employee Debate<br>12:06 Meta Leaderboard Backfire<br>17:11 Uber Budget Blowout<br>21:49 CFO Visibility And ROI Gap<br>27:10 Governance And Spend Consolidation<br>30:24 Open Source Comeback<br>35:44 Platform Over Single Model<br>37:54 Wrap Up And Where To Listen</p><p>🎧 Also on Spotify and Apple Podcasts: <br>- Spotify: https://open.spotify.com/show/5CAwQDcofIzMM9p5GIChOo<br>- Apple Podcast: https://podcasts.apple.com/us/podcast/humans-in-the-loop/id1892864937<br>💼 Connect with Us:<br>- Kasey: https://www.linkedin.com/in/kaseyroh/<br>- Galina: https://www.linkedin.com/in/gfendi/</p><p>#enterpriseai #humansintheloop #humanintheloop #generativeai #aiadoption</p>

Episode thumbnail for Humans In The Loop Ep 1. AI Success Stories in the Enterprise: What Actually Works vs. What's PR

April 12, 2026

Humans In The Loop Ep 1. AI Success Stories in the Enterprise: What Actually Works vs. What's PR

<p>Enterprise AI Reality Check: Only 2 Insurers in Fortune 500 Show Quantified ROI (Plus Maersk, HPE &amp; Tiffany Success Stories)</p><p>In the first episode of Humans in the Loop, Kasey Roh and Galina Fendikevich introduce the show’s focus on the gap between AI hype and real enterprise adoption, especially in regulated industries like insurance. Kasey shares analysis of Q4 earnings-call CEO remarks across ~60 companies, tracking AI mentions, quantified ROI, and 2026 plans; among Fortune 500 insurance carriers, only Chubb and Travelers cited quantified AI ROI, and Travelers mentioned AI about 45 times. They discuss why insurance may be more conservative and argue for small, tangible AI deployments rather than endless pilots. They highlight success cases: Maersk pivoting from a $100M blockchain effort to AI route optimization saving $375–$500M annually in fuel, HPE building a finance-ops AI agent (“Alfred”) with Deloitte, and Tiffany using genAI to create 700+ monograms for engraving.</p><p>00:00 Welcome to the Show<br>00:15 Meet Galina<br>01:04 Why Humans in the Loop<br>02:20 Meet Kasey<br>03:15 Earnings Call AI Study<br>04:38 Insurance ROI Reality Check<br>07:20 AI Mentions and Metrics<br>11:33 2026 Plans and Budgets<br>15:30 Why Insurance Moves Slow<br>16:09 Start Small with AI<br>18:43 Maersk Fuel Savings Win<br>21:48 HPE Alfred Finance Agent<br>24:48 Tiffany Engraving with AI<br>27:10 Wrap Up and Thanks</p><p>🎧 Prefer audio? <br>- Listen on Spotify: https://open.spotify.com/show/5CAwQDcofIzMM9p5GIChOo | <br>- Apple Podcasts: https://podcasts.apple.com/us/podcast/humans-in-the-loop/id1892864937<br>💼 Connect with Us:<br>- Kasey: https://www.linkedin.com/in/kaseyroh/<br>- Galina: https://www.linkedin.com/in/gfendi/</p><p>#HumansInTheLoop #EnterpriseAI #AIGovernance #HumanInTheLoop</p>

7 total episodes available

Deep-dive analytics for Humans In The Loop

Sign up to explore

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Humans In The Loop?

For enterprise leaders deploying AI that actually works without losing the humans who make it work.

Humans In The Loop is a bi-weekly show hosted by Kasey Roh and Galina Fendikevich. Two operators navigating the two extremes of the AI era: Silicon Valley's AGI frenzy on one side, the boardrooms still asking "but does it work on our documents?" on the other.

Every episode: one real problem, one working framework, and zero vendor fluff.

🎧 Also on Spotify and Apple Podcasts:

  • Spotify: https://open.spotify.com/show/5CAwQDcofIzMM9p5GIChOo
  • Apple Podcast: https://podcasts.apple.com/us/podcast/humans-in-the-loop/id1892864937 💼 Connect with Us:
  • Kasey: https://www.linkedin.com/in/kaseyroh/
  • Galina: https://www.linkedin.com/in/gfendi/
How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

No, this podcast does not typically feature guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.