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Transformation Realness

Transformation Realness

By: Kyle Lagunas
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Summary
 Welcome to Transformation Realness—the only show all about people who are doing their best to make the world of work less shitty and have the guts to share their story: the good, the bad, and most of all... the real. Hosted by Kyle Lagunas, Founder of KyleAndCo. Produced in partnership with Purple Acorn Network.Kyle Lagunas Career Success Economics Management Management & Leadership
Episodes
  • Something Had to Give: Workday Candidate Profile, A Transformation Realness Exclusive

    Something Had to Give: Workday Candidate Profile, A Transformation Realness Exclusive
    Oct 13 2026
    Every time you apply to a job at a company that runs on Workday, you create a new account, a new login, and a new password, then type your resume into the boxes again. Today at Workday Rising in Las Vegas, Workday announced the Workday Candidate Profile: one profile a candidate owns and controls, saved once and used across any Workday-hosted career site, with the candidate deciding what each employer receives. Employers keep their process and their questions. Kyle sat down with Adam Godson, who leads talent acquisition product at Workday, for the inside story. They get into why this took so long (security-first data practices and employer attitudes that have shifted), who it matters to beyond the 330 million applicants Workday hosts each year, why the candidate experience tools employers already buy still leave candidates without a profile of their own, and what changes when a profile holds a candidate’s wants, needs, and motivations instead of a two-page resume. Adam also previews the talent acquisition agent launching at Rising and the interface updates coming to Workday Recruiting. The conversation refers to this as Universal Profile, its name when we recorded. Same product, new name. Kyle has an advisory relationship with Workday, and he does not pull punches. Learn more about your ad choices. Visit megaphone.fm/adchoices
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    26 mins
  • Is Findem Studio America's Next Top Model (Context Protocol)?

    Is Findem Studio America's Next Top Model (Context Protocol)?
    Sep 22 2026
    Everybody in talent tech is announcing an MCP this year, and nobody has a rubric for judging whether any of them work. We find out when something goes wrong. So when Findem launched Studio, Kyle sat down with Liv Anderman and co-founder and CEO Hari Kolam to pressure test what's underneath it. Liv's framing: the MCP is just the piping. The question is whether you get finished work you can trust. In this episode: Hari's library analogy for what an MCP does (an access card is not the same as knowing which book to read), why every Studio agent carries a named expert's methodology you can open and read, what "the illusion of finished work" costs a practitioner when it fails in the room, and why Hari calls Studio a company-wide bet that finished work is where value gets transacted. Steal Liv's demo test for the next vendor pitch you sit through: open a conclusion and show me what's underneath it. What data was it working from? Whose method did it follow? Who checked it? Findem is a Kyle & Co client. This episode is editorial, not sponsored. Guests: Liv Anderman and Hari Kolam, Findem Host: Kyle Lagunas, Kyle & Co Audio: Purple Acorn 00:00 Intro: Is Findem Studio America's Next Top Model (Context Protocol)? 01:45 What's different about Studio: finished work, not answers 04:20 MCP is the piping: access is not intelligence 05:30 Hari's library analogy: the access card vs. the right book 08:00 How you get finished work out of Studio (three paths) 10:15 Right context, right method, right checks 11:20 The illusion of finished work and what it costs you 13:00 The CHRO conversation: context windows and token maxing 17:45 What has to be true underneath for an agent to hold up 21:40 Why every Studio agent carries a named expert's point of view 24:30 What the experts contribute and how methodology stays living 26:45 Configuration vs. guardrails: how much control customers get 30:15 Feature or product? The moat question 33:15 Real ROI vs. activity: the demo questions to ask any vendor 37:15 What Findem believes that peers might not 40:30 A year from now: what would prove the Studio bet wrong 41:50 Kyle's verdict and the disclosure Learn more about your ad choices. Visit megaphone.fm/adchoices
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    44 mins
  • AI Fluency and HR Transformation with Sarika Lamont

    AI Fluency and HR Transformation with Sarika Lamont
    Sep 10 2026
    Join us in this enlightening episode of Transformation Realness as we delve into the world of AI and HR transformation with Sarika Lamont, the outgoing Chief People Officer at Vidyard. Sarika, soon to be the Chief People and AI Enablement Officer at Technomile, shares her bold insights on what it means to be AI literate and why HR must lead the charge in AI transformation. With her extensive experience and passion for real-time innovation, Sarika offers a candid look at the evolving landscape of AI in the workplace. In this conversation, Sarika discusses the critical difference between AI literacy and fluency, emphasizing the importance of HR professionals not just understanding AI tools but being able to use them effectively as co-pilots in their work. She shares her journey from focusing on basic AI literacy to advocating for fluency, where HR professionals can make informed decisions and judgments using AI. Sarika also highlights the challenges and anxieties faced by various professionals, including engineers, in adapting to AI, and how these can be overcome through effective leadership and education. Listeners will gain valuable insights into the necessity of rebuilding competency frameworks amidst ongoing changes, the role of HR in owning AI transformation, and the myth of waiting for perfection before launching initiatives. With Sarika's transparent and passionate approach, this episode promises to inspire HR leaders and professionals to embrace AI as a tool for real-time innovation and transformation. Learn more about your ad choices. Visit megaphone.fm/adchoices
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    42 mins
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