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  • #013 Strategic CSM: How AI Frees Humans for the Hard Problems with Chandan Maruti, Founder & CEO, Twig.so
    2025/11/20

    “Most titles will remain. What will change is what people do within those titles.”


    In this episode of Human Work After AI, Chris Fanchi talks with Chandan Maruti (CEO of Twig.so) about using agentic AI to scale customer support and success without sacrificing empathy. Twig acts like a coworker for support agents, handling instant answers and triage so humans can focus on pattern-finding, prevention, and relationships.


    We cover:

    - Why CS/S roles won’t disappear, but will become far more strategic as AI takes the repetitive load.

    - The “thousand CSMs” idea: sensing problems earlier across every user interaction.

    - Agentic support: AI handles, escalates, and routes while humans oversee and tackle the hard cases.

    - Measuring value with a 7-dimension evaluation to avoid AI oversell/undersell traps.

    - What a “perfect AI–human hybrid” support team looks like in the next 2–4 years.


    Chapters

    00:00 — Opening highlight (roles change, not titles)

    00:48 — Intro: Twig as an AI coworker for support agents

    03:04 — Chandan’s path: engineering → Lambda School → CS leadership

    05:44 — The CS pain: high cost, limited bandwidth, slow signal flow

    10:17 — “A thousand CSMs”: using AI to listen, sense, escalate early

    12:21 — Retention by rigor: the 7-metric outcome framework

    16:12 — Humans stay: AI does the repetitive, people do prevention & relationships

    19:23 — Next step: from data deluge to actionable signals for CSMs

    23:54 — Agentic tools and distributable expertise (runnable knowledge)

    36:34 — The ideal AI–human hybrid support org (instant response, smart triage)

    38:01 — Where to find Twig + outcomes-first mindset


    Resources

    Twig.so — outcomes-first AI for support & success: https://www.twig.so

    Steward your people through the AI transition with Chris Fanchi's Big North Network — https://bignorthnetwork.com


    Managing AI: Humans, Agents, and the Future of Work (out now!)


    If this episode helped you reframe human + agent workflows, dive deeper in Chris Fanchi's new book, Managing AI - a pragmatic playbook for leaders on trust, metrics, and org design in the agentic era.

    Order your copy today: https://bignorthnetwork.com/managing-ai

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    39 分
  • #012 When Every Agent Has Superpowers, People Skills Still Win with Biju Ashokan, Founder & CEO, Radius
    2025/11/12

    If every real estate agent gets AI superpowers, what still sets the best apart? For Biju Ashokan (Founder & CEO, Radius), the answer is clear: proactive AI to remove the grunt work, and human judgment to win the moment that matters. In this episode of Human Work After AI, Biju breaks down MEL, Radius’s AI assistant that builds live client personas, schedules showings, drafts offers, and acts proactively, not just reactively like most chat tools. He argues the enduring edge is interpersonal skill, negotiation, and local context, even as AI levels the playing field.What we cover (highlights):- Why Radius calls itself a software company with a brokerage license and how the model works (subscriptions + per-transaction)- How MEL gets proactive and creates a living client profile from calls, texts, email, and search behavior- Why human skills become more important when AI gives everyone similar tools (negotiation, network, local knowledge)- The future: fewer agents, more professional teams, higher throughput per agent, and likely commission compression over time- Data privacy, team-scoped AI instances, and keeping human-in-the-loop for liability and quality controlBiju’s ultimate takeaway about AI: the same thing that excites him about AI also scares him - the unknowns of the next 10 years of work.Chapters00:00 – Highlight: “Interpersonal skills will stand out when AI levels the field.”02:49 – Software company with a brokerage license03:15 – Vision, then AI’s 360° rethink of real estate software04:29 – Research first: six months inside agent offices; hiring lessons08:17 – Agents want independence; Radius builds the infra to enable it10:27 – Where AI fits: repetitive workflows → MEL assistant12:03 – From reactive to proactive: MEL books showings, sends CMAs13:55 – What stays human: negotiation, network, local context15:44 – GTM update: 100+ brokerages, 1,000+ agents, new states opening16:30 – Teams growing despite a down market; time-back → growth19:20 – One platform vs. tool soup; MEL keeps data in sync21:45 – Fewer agents, more productivity; likely commission compression26:51 – Human-in-the-loop, feedback loops, liability guardrails29:49 – Final remarks: optimism and uncertainty about jobs aheadResourcesLearn more about Radius — https://radiusagent.comGrow your revenue with host Chris Fanchi's Big North Marketing — https://bignorthmarketing.comConversations like this feed the new book "Managing AI: Humans, Agents, and the Future of Work" by Chris Fanchi — releasing November 18. Visit bignorthmarketing.com/managing-ai to learn more and pre-order today!

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    32 分
  • #011 How AI Is Reimagining Higher Ed & Faculty Workflows w/ Mohamed Farag, Founder, Analytics 4 Everyone
    2025/11/05

    What happens when AI stops being a classroom distraction and starts becoming the assistant every educator needs?


    In this episode of Human Work After AI, host Chris Fanchi sits down with Dr. Mohamed Farag, Founder of Analytics 4 Everyone and Professor at Carnegie Mellon University, to explore how AI can transform higher education by freeing faculty from repetitive tasks and restoring time for what matters most: teaching, mentoring, and inspiring critical thinking.


    From his journey from Egypt to the U.S. to founding a company at the intersection of academia and AI, Mohamed shares lessons on innovation, resilience, and designing systems that preserve trust, privacy, and creativity in learning.


    If you’re leading a team, teaching, or building AI-driven solutions, this episode is a must-listen on what it takes to bring humanity back into technology.


    ⏱️ Chapters


    00:00 The Future of Teaching with AI

    00:43 Introduction: Human Work After AI

    01:30 Mohamed’s Journey from Egypt to Carnegie Mellon

    05:00 Discovering AI’s True Potential

    07:05 The Birth of Analytics 4r Everyone

    08:40 Early Podcast Search Innovation

    10:45 From B2C to B2B: Pivoting Toward Higher Education

    12:50 Faculty Burnout and the AI Solution

    14:45 Which Universities Are Adopting AI Fastest

    16:45 Protecting Privacy and Intellectual Property

    19:30 Building Secure, SOC 2 Certified AI Systems

    21:00 Lessons from Startup to Academia

    23:50 Go-to-Market Strategy and University Pilots

    26:00 The Human Role in the AI-Powered University

    30:10 Advice for Educators and Technologists

    33:00 Closing Reflections


    📚 Resources

    Analytics 4 Everyone: https://a4e.tech

    Connect with Mohamed: http://www.linkedin.com/in/dr-farag

    Big North Marketing: https://bignorthmarketing.com


    💡Looking to better manage your team through the AI transformation?


    Coming November 18th, 2025, the new book "Managing AI: Humans, Agents, and the Future of Work" by Chris Fanchi is a deep dive into the challenges facing executives and leaders at the forefront of AI. Pre-order your copy and get a free bonus chapter today.


    👉 Learn more at https://bignorthmarketing.com/managing-ai

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    39 分
  • #010 From Factory Floors to Smart Ecosystems: Reinventing Manufacturing with Zakary Smith, CEO,. SensFlo
    2025/11/04

    AI is reshaping how things are made, from the shop floor to the supply chain.


    In this episode of Human Work After AI, Chris Fanchi speaks with Zakary Smith, CEO of SensFlo, about how artificial intelligence and industrial IoT are transforming manufacturing — not by replacing workers, but by redefining how they collaborate with machines.


    SensFlo’s AI-powered platform connects equipment, software, and people across global factories to improve efficiency, safety, and data transparency. Zakary shares how he’s helping manufacturers transition from fragmented operations to fully interoperable, semi-autonomous ecosystems, and what that means for the next generation of skilled labor.


    They explore:

    - How AI is accelerating the digital transformation of manufacturing

    - Why “interoperability”, not full automation, defines the smart factory

    - The real opportunities (and limits) of robotics over the next decade

    - How AI creates new skilled labor roles instead of erasing them

    - Ethical design and data transparency in human-machine systems


    Chapters

    0:00 Intro – AI meets manufacturing

    1:27 Zakary’s origin story: from STEM curiosity to entrepreneurship

    4:37 Discovering inefficiencies on the factory floor

    6:23 What SensFlo does (explained simply)

    8:02 How manufacturers adopt AI today

    10:25 Build vs. buy: choosing the right AI stack

    13:13 Worker fear vs. executive excitement

    15:45 What AI can’t yet do

    17:51 Robotics and “the Optimus problem”

    18:48 The rise of new skilled labor and upskilling culture

    22:33 Ethical AI and data transparency

    24:39 What the smart factory of the future looks like

    27:28 The next phase for SensFlo


    🔗 Resources

    SensFlo: https://sensflo.ai

    Connect with Zakary Smith: http://www.linkedin.com/in/zakarytsmith

    Big North Marketing: https://bignorthmarketing.com


    👉 If you’re a founder or tech leader navigating AI transformation, Big North Marketing helps you turn your expertise into a growth engine through podcasts, strategy, and storytelling that build real relationships.

    Learn more at bignorthmarketing.com.

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    30 分
  • #009 Adapt or Fall Behind: The Future of Small Business with Vitaly Motuz, Founder, Reviews on My Website
    2025/10/22

    AI may be reshaping small business marketing, but the ones who thrive will be those who adapt.


    In this episode of Human Work After AI, Chris Fanchi speaks with Vitaly Motuz, founder of Reviews on My Website and Text Ninja, about how he bootstrapped a SaaS company serving 3,000+ local businesses and what he’s learned about trust, automation, and human connection in a digital-first world.


    They discuss how Vitaly turned a simple idea into a growing SaaS platform, why he’s cautious but optimistic about AI, and what skills will matter most as automation transforms local business operations.


    🕒 Chapters

    0:00 Intro – The future of jobs and adaptability

    1:00 Vitaly’s origin story: From engineer to SaaS founder

    5:00 Turning a simple widget into a global review platform

    8:00 Doing things that don’t scale—and why it matters

    10:30 Learning to let go of control as a founder

    14:00 Using AI inside the product: automated review replies

    17:00 How local businesses are reacting to AI

    19:00 The widening gap between those who embrace and ignore AI

    22:00 Why adaptability beats fear in an AI world

    25:00 Human touch vs. automation: where to draw the line

    27:00 The privacy question we’re not asking enough

    30:00 What’s next for Reviews on My Website and Text Ninja


    💡 Key Themes

    - The tension between automation and authenticity

    - Why adaptability is the ultimate future-of-work skill

    - The coming trust gap between businesses that use AI wisely—and those that don’t


    🔗 Resources

    Reviews on My Website: https://reviewsonmywebsite.com

    Big North Marketing: https://bignorthmarketing.com


    If your SaaS or agency is navigating the same AI transformation, visit BigNorthMarketing.com to explore how to grow smarter, not just faster.

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    34 分
  • #008 Fixing the Multi-Trillion Dollar Software Problem with Noel Wilson, Founder of Intelligenic
    2025/10/09

    AI is reshaping how we build software - but can it finally fix the multi-trillion dollar inefficiencies holding the industry back?


    In this episode of Human Work After AI, host Chris Fanchi sits down with Noel Wilson, Founder of Intelligenic, to explore how AI can automate the entire software development lifecycle, from discovery and design to coding, QA, and deployment.


    Noel shares his journey from decades in consulting to launching Intelligenic, his mission to solve systemic inefficiencies in software, and why he believes AI won’t replace developers but will transform their roles forever.


    In this episode:

    - Why software development is still stuck in inefficiency

    - How Intelligenic automates discovery, design, code, and QA

    - Why AI is a force multiplier for startups, enterprises, and consultants

    - The future of junior engineers in an AI-driven industry

    - What skills will define the next generation of product builders


    ⏱ Chapters

    0:00 Intro & Noel’s big idea

    1:11 Growing up in Silicon Valley & early tech spark

    6:27 Consulting career and inefficiencies in software

    11:31 Founding Intelligenic & validating the idea

    16:30 How AI powers the platform

    21:44 Comparing Intelligenic to coding assistants

    24:42 Adoption across startups, consultants, and enterprises

    31:09 Go-to-market strategy and LinkedIn traction

    35:44 How AI changes software engineering roles

    39:11 Skills the next generation must master

    41:57 The future: fixing the multi-trillion dollar problem


    📌 Resources

    Intelligenic: https://intelligenic.ai

    Connect with Noel on LinkedIn: https://www.linkedin.com/in/noel-wilson-39b86/

    Grow your revenue with Chris Fanchi's Big North Marketing: https://bignorthmarketing.com


    🔔 Subscribe for more conversations on the future of work, AI, and technology.


    #FutureOfWork #AIandHumans #SaaSStrategy

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    41 分
  • #007 Future of Work and Cybersecurity in the Age of AI — with Eli Farhood, Founder of KatshID
    2025/10/01

    AI has lowered the barrier for hackers, turning novices into advanced attackers almost overnight. What does this mean for identity, cybersecurity, and the future of work?


    In this episode of Human Work After AI, we speak with Eli Farhood, founder of KatshID, a company pioneering biometric authentication that eliminates passwords and protects digital identities. Eli shares his journey from finance to cybersecurity, and why he believes AI demands a paradigm shift in identity security.


    🔑 What you’ll learn in this conversation:

    - How AI automation and generative models change the threat landscape for businesses

    - Why credentials are the weakest link in identity security — and why eliminating them matters

    - The role of biometrics and device-agnostic solutions in securing the future of work

    - Lessons from finance and risk management that apply to today’s digital economy


    ⏱️ Chapters

    00:00 – AI’s impact on hacking & identity theft

    01:00 – From finance to cybersecurity: Eli’s founder story

    07:00 – Stress, risk, and the decision to pivot into tech

    12:00 – Fake news, bots, and early signals of identity fraud

    17:00 – Personal story of identity theft and its fallout

    23:00 – Why legacy systems can’t protect us in the AI era

    26:00 – Biometrics, hand scans, and eliminating credentials

    33:00 – What business leaders need to know about modern cyber threats

    47:00 – The future of work, utilities, and national security in an AI age


    🔗 Resources

    KatshID: https://katshid.com

    Big North Marketing: https://bignorthmarketing.com


    💡 If you’re a SaaS founder or marketing leader navigating AI disruption, visit bignorthmarketing.com to explore how we help SaaS companies grow with clarity and confidence.

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    57 分
  • #006 Collaborative Freedom & AI: Building the Network-First Future of Work with Francisco Marin, CEO, CTS
    2025/09/25

    𝗠𝗼𝘀𝘁 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗮𝗿𝗲 𝘀𝘁𝗶𝗹𝗹 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗲𝗱 𝗮𝗿𝗼𝘂𝗻𝗱 𝗵𝗶𝗲𝗿𝗮𝗿𝗰𝗵𝗶𝗲𝘀 - 𝗲𝘃𝗲𝗻 𝗮𝘀 𝗔𝗜 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝘀 𝗲𝘃𝗲𝗿𝘆 𝘁𝗮𝘀𝗸 𝗮𝗻𝗱 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻.


    Francisco Marin, CEO of Cognitive Talent Solutions, believes that’s a dangerous mismatch. His guiding idea: the future of work must be network-first, not hierarchy-first.


    In this episode of Human Work After AI, Francisco joins us to talk about the future of work and what it means to run a business network-first.


    Francisco has pioneered organizational network analysis (ONA) and AI-driven agents for leadership, onboarding, and change management. His company has partnered with giants like Google and ServiceNow to help enterprises navigate decentralization, hybrid work, and AI adoption.


    We explore:

    - Why organizational structures lag behind technological change

    - How “collaborative freedom” empowers employees and improves performance

    - The role of AI agents in onboarding, leadership pipelines, and cultural resilience

    - The ethical balance between trust and surveillance in people analytics

    - What networks - from neural nets to blockchain to social graphs - teach us about the future of work


    If you’re a founder, leader, or strategist, this conversation offers a rare glimpse into how work itself may be rewired.


    ⏱️ Chapters

    0:00 – Intro & Francisco’s origin story

    3:05 – From IBM analytics to founding CTS

    5:49 – What is organizational network analysis (ONA)?

    8:11 – Scaling from Fortune 500s to 70,000-employee rollouts

    9:42 – Partnerships, communities, and the Network-First Manifesto

    13:23 – Hybrid work, AI shifts, and the limits of corporate structures

    18:09 – AI agents for onboarding, leadership, and change management

    24:47 – Decentralization, recognition, and the politics of work

    27:21 – AI, entry-level jobs, and the broken talent pipeline

    30:36 – Trust vs. surveillance in people analytics

    34:20 – Advice for young professionals entering an unstable workforce

    36:23 – Staying grounded as a founder in Silicon Valley


    📌 Resources

    Cognitive Talent Solutions: https://cognitivetalentsolutions.com

    Network First Manifesto: https://networkfirstmanifesto.com

    Grow your revenue with Chris Fanchi's Big North Marketing: https://bignorthmarketing.com


    #AI #futureofwork #Networkfirst

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    40 分