What Comes Next with Arun

Arunansu Pattanayak
  • 5.0 (5)
  • Technology

Most conversations about AI are either too technical for business leaders or too generic to be useful. What Comes Next with Arun fills that gap. Each episode translates real-world data and AI strategy into the language of competitive advantage — drawing on Arun’s 20+ years inside the world’s most complex enterprises, six years as a Microsoft Data & AI Executive, and his experience building Tipsora into a platform serving more than 95,000 professionals worldwide. This is not a podcast about AI tools. It is a podcast about building the organizational intelligence that makes tools matter.

  1. 3d ago ·  Video

    AI Is Built to Sound Right, Not Be Right | Eric Boromisa

    Send us Fan Mail AI can read a thousand pages in seconds and find the one line on page 776 you need. It can also tell you something false with total confidence. Both come from the same fact: large language models are prediction engines, built to sound right rather than to be right. Eric Boromisa, founder and managing partner of Numbers & Letters, has worked across Accenture strategy, data engineering at FLYR Labs, and product launches with companies like Google and Bavarian Nordic. He joins Arun to talk through the psychology of AI: why it acts like a people-pleaser, why it goes down rabbit holes, and how to design around those habits before they cost you. Eric explains why airlines are happy to let AI handle refunds and rebookings but won't let it near crew or maintenance coordination. He walks through a weekend project that surfaced thousands of policy inconsistencies across 50 airline websites, and lays out three low-risk places to start with AI where the ROI is easy to see. The conversation also covers healthcare, why specialized models beat general chatbots for diagnosis, and Eric's playbook for turning conferences into client relationships as a solo consultant. In this episode: Why AI is "trained to sound right, not necessarily be right"Using a second AI agent to check the first one's workThe three low-risk AI use cases with clear ROIWhy you shouldn't hand AI your highest-stakes decisions (and what prospect theory has to do with it)Where AI helps in healthcare, and where doctors are right to be cautiousHow to work conferences: speaker cancellations, 300–500 person events, and 15–20 coffee chatsEric's moonshot: a world formulary union so prescriptions travel with youChapters  00:00 Intro  00:38 Meet Eric Boromisa  02:21 From Stanford neural networks to AI strategy  04:14 The psychology of AI: built to sound right, not be right  06:42 What LLMs are good at, and how to verify their work  09:16 Human in the loop: what airlines will and won't hand to AI  12:01 The weekend project that found thousands of airline policy gaps  15:11 Three low-risk AI use cases with clear ROI  16:52 Why AI shouldn't run airline schedule optimization  19:53 AI in healthcare: from hospital design to vaccine rollout  23:39 Should patients trust an AI doctor?  26:33 When AI shows "mental health" symptoms  29:18 The Silicon Valley bubble and the data center backlash  30:52 Diversifying a solo practice: travel meets healthcare  33:29 The conference playbook for winning clients  40:15 Side products and why AI trip planning still gets a 5 out of 10  43:56 Partner networks and knowing where your expertise ends  47:56 Referral deals between solo consultants  49:12 The moonshot: a world formulary union  52:03 How to work with Eric Connect with Eric Numbers & Letters: https://www.numbersandletters.co/ LinkedIn: https://www.linkedin.com/in/ericboromisa/ Connect with Arun Website: https://www.arunansupattanayak.com/ LinkedIn: https://www.linkedin.com/in/arunansuspeaks/ Book, Future-Proof Your Business: https://www.amazon.com/FUTURE-PROOF-YOUR-BUSINESS-Strategic-Framework-ebook/dp/B0H8MKQTKC  AI certification for you and your team: https://tipsora.com/ If this conversation changed how you think about AI in your organization, subscribe and leave a 5-star review. It helps other leaders find the show. Support the show  Book call with Arun:  https://go.tipsora.com/meet-with-arun

  2. Oct 30 ·  Video

    Don't Just Say No: Rebuilding Loan Underwriting with AI | Robert Stewart Jr.

    Send us Fan Mail In mortgage lending, there's a saying: real underwriting doesn't happen until 72 hours before closing. By then, the borrower has paid for the appraisal, put earnest money at risk, and waited weeks — only to find out the deal never had a chance. Robert S. Stewart Jr., founder and CEO of CR Equity AI, built his company to move that moment to minute one. A former Air Force officer who came up through real estate sales and loan origination, Robert used the military's objective-based planning approach to design a 100% custom AI underwriting engine for non-QM and investor loans. The goal was simple: an actionable term sheet in under five minutes, with a decision borrowers can trust. In this conversation, Robert and Arun cover: Why pre-approval only works for a narrow slice of borrowers — and what everyone else experiencesContinuous ("Kaizen") underwriting: verifying from day one instead of the last three daysWhy CR Equity AI is deliberately not a loan marketplace — and how shotgunning applications damages creditAI agents that flag lender policy and compliance shifts in real timeThe two-gate compliance model: internal criteria plus note-buyer eligibility, or no dealWhy he publishes his underwriting criteria openlyLetting employees set their own salary, and the "pay once, cry once" ruleWhy he turned down an eight-figure acquisition offerViewed through the Durable Advantage Cycle, this episode is a case study in owning your nest before you branch out — and in turning transparency into a moat. Connect with Robert:  linkedin.com/in/stewart-r | crequity.ai Connect with Arun: linkedin.com/in/arunansuspeaks | tipsora.com Book: Future-Proof Your Business — https://www.amazon.com/FUTURE-PROOF-YOUR-BUSINESS-Strategic-Framework-ebook/dp/B0H8MKQTKC If this episode changed how you think about AI in regulated industries, subscribe and leave a 5-star review — it helps more leaders find the show. Support the show  Book call with Arun:  https://go.tipsora.com/meet-with-arun

  3. Oct 23 ·  Video

    The Human Edge: Why AI Makes Team Building Matter More | David Lengyel

    Send us Fan Mail What happens to teams when everything around them gets automated? David Lengyel has spent more than 40 years answering a version of that question. As Managing Director of Venture Up, one of the first team building companies in the U.S., he and his team have worked with more than 8,000 companies and 500,000 people across a dozen-plus countries — from Procter & Gamble, McKinsey, and Caterpillar to Microsoft and HP. In this conversation, David traces Venture Up's unlikely start as a mountaineering guide service, explains why most "team building" is really just a happy hour, and shares why telling people to "communicate better" almost never works. He also previews his upcoming book, LEADERSHIP TRUTHS, and makes the case that as AI takes over more of the work, the companies that invest in human connection and emotional intelligence will pull ahead. In this episode: Why every company is first in the business of peopleThe one question to ask before planning any team eventHow we "qualify the messenger" instead of hearing the ideaWhy saying no to customization helped Venture Up scaleWhere platforms and AI help — and where they can't replace a real conversationHiring for strengths and telling people the problem, not the solutionChapters  00:00 Intro 00:39 Meet David Lengyel 03:01 From mountain guides to team building 06:19 What makes team building actually work 10:14 Start with the goal, not the activity 13:51 Legacy companies vs. startups 16:25 Why "communicate better" is empty advice 18:09 How a program comes together 22:14 Diversifying without losing your core 26:42 The lesson of saying no 30:34 LEADERSHIP TRUTHS  36:12 Platforms, AI, and the human handoff  42:48 Hiring for strengths  46:27 AI and the future of team development  49:07 What Japan reveals about connection Connect with David: https://ventureup.com/ Arun's book: Future-Proof Your Business — https://www.amazon.com/FUTURE-PROOF-YOUR-BUSINESS-Strategic-Framework-ebook/dp/B0H8MKQTKC If this conversation was useful, subscribe and leave a 5-star review. It helps more leaders find the show. Support the show  Book call with Arun:  https://go.tipsora.com/meet-with-arun

  4. Oct 16 ·  Video

    The Game of Ten: Why High Performers Run on Outdated Code | Steve Barton

    Send us Fan Mail Most leaders don't have a strategy problem. They have a noise problem. Executive coach Steve Barton spent 30 years as a florist, grew his business from roughly $200K to $2M serving high-end destination weddings in Maine, and then had an experience 34 years ago that changed how he understood human potential. Today he coaches founders, CEOs and high performers with The Game of Ten®, a registered coaching process built to help leaders let go of fear, self-doubt, guilt and shame and act from clarity instead of pressure. In this conversation, Arun and Steve explore: Why most people solve today's problems with yesterday's data, and what that costs leadersThe six phrases Steve uses to quiet a racing mind, done live on the showThe uncomfortable question every unhappy "successful" leader should ask themselvesWhy calling yourself an 8 out of 10 may be a form of arroganceWhat a good coach actually does (hint: accountability, not answers)Why intuition and creativity are still the human edge, even as AI gets better at logicBen Franklin's trust-building habit and what it teaches about business relationshipsIf you lead a team, run a company, or feel like your mind never switches off, this episode offers a different way to think about performance. Connect with Steve Barton  Website: https://www.stevebartoncoaching.com/ LinkedIn: https://www.linkedin.com/in/coach-steve-barton/ Connect with Arun  Website: https://www.arunansupattanayak.com/ AI certification for you and your team: https://tipsora.com/catalog LinkedIn: https://www.linkedin.com/in/arunansuspeaks/ Book, Future-Proof Your Business: https://www.amazon.com/FUTURE-PROOF-YOUR-BUSINESS-Strategic-Framework-ebook/dp/B0H8MKQTKC If this episode was useful, subscribe and leave a 5-star review. It helps more business leaders find the show. Support the show  Book call with Arun:  https://go.tipsora.com/meet-with-arun

  5. Sep 25 ·  Video

    The One-Man Accelerator: What Startups Actually Need to Scale | Christopher Hussain

    Send us Fan Mail AI has made it possible to build a product in six to eight months. So here's the uncomfortable question: if you can build it that fast, why can't your competitor? Christopher Hussain has spent more than 20 years answering versions of that question from the inside. He was the #1 mortgage originator in the U.S. for two consecutive years, co-founded Sindeo (one of the original modern online mortgage platforms), and founded RealKey, an AI and automation platform that grew to 3,600+ monthly users across 400+ companies. Today he works as a "one-man accelerator," a fractional C-suite operator helping startups and later-stage companies with product, go-to-market, sales, partnerships, and fundraising. In this conversation, Arun and Christopher walk through the stages of building a durable company, and where most teams get stuck: Why startups hire salespeople first, then wonder why sales doesn't workWhat incubators and accelerators are missing: hands-on, cross-functional operatorsVibe coding, speed to market, and why the moat question now comes up in nearly every acquisition conversationWhy service businesses struggle to raise capital, and how they can scale anywayFull salary transparency as a tool for building an ownership mindsetUsing John Cleese's "open mode / closed mode" idea to make pivot decisions, and commit to themWhy a scrappy two-week decision can beat three months of corporate R&DIf you're a founder, an operator, or a technology leader trying to turn a product into a company, this one is for you. Chapters  00:00:00 Introduction  00:00:37 Meet Christopher Hussain  00:04:05 From the subprime sales floor to a digital mortgage office  00:06:16 Cameras on tow trucks: applying OCR before it was cool  00:07:43 Sindeo, RealKey, and the decision to go fractional  00:09:17 How RealKey tackled the mortgage coordination problem  00:11:37 One core, many branches  00:12:54 Why sales fails without marketing, CRM, and systems  00:15:53 What incubators and accelerators are missing  00:20:25 Can AI automate the startup playbook?  00:22:32 Vibe coding and the moat question  00:26:10 Can a service business raise capital?  00:28:27 Compensation, equity, and full salary transparency  00:32:10 Evaluating pivots: open mode vs. closed mode  00:36:38 Startup speed vs. corporate R&D  00:38:22 Structure and policy: scaling without breaking things  00:41:34 What Christopher is working on now Connect with Christopher Hussain LinkedIn: https://www.linkedin.com/in/christopherhussain/ Connect with Arun Website: https://www.arunansupattanayak.com/ LinkedIn: https://www.linkedin.com/in/arunansuspeaks/ Instagram: https://www.instagram.com/arunansuspeaks/ Book, Future-Proof Your Business: https://www.amazon.com/FUTURE-PROOF-YOUR-BUSINESS-Strategic-Framework-ebook/dp/B0H8MKQTKC  AI certification for you and your team: https://tipsora.com/catalog If this episode gave you something to think about, subscribe and leave a 5-star review. It helps more founders and leaders find the show. Support the show  Book call with Arun:  https://go.tipsora.com/meet-with-arun

  6. Sep 18 ·  Video

    Fluent in the Tools, Illiterate in the Tradeoffs — Frank Bravo on AI's Real Risk

    Send us Fan Mail Most organizations aren't behind on AI. They're behind on the thinking required to use it. That's where this conversation with Frank Bravo starts — and it doesn't let up. Frank is a Bay Area technologist who spent more than three decades leading technology through disruption. For 32 years he was CTO of Embarcadero Media, home of the Palo Alto Weekly, where his team published an entire newspaper's editorial content to the web in 1994 — before Google, before Yahoo, before most people had a browser. Today he's CTO of ProLegal, a legal-services startup, principal of Bravo IT Consulting, and host of the Your Tech Makeover podcast. Arun and Frank dig into what watching one industry get disrupted for 30 years actually teaches you about this AI moment — including the uncomfortable part, that being early with the tool was never the advantage everyone assumed. They talk about why Frank now builds software faster than ever with AI but lets none of it ship without human review, how a 15-person startup went from idea to launched product in under three months, why every law firm is sitting on the same unsolved problem, and why the hardest part of any technology shift was never the technology. Frank's throughline is simple and hard to argue with: companies are fluent in the tools and illiterate in the tradeoffs. Clarity isn't decoration on top of strategy — it is the strategy. Chapters (0:00) The thinking gap(0:40) Meet Frank Bravo(1:50) Common ground — the Future-Proof framework(3:13) From a computer in the house to CTO of a newspaper(4:44) Publishing to the web in 1994(5:33) Leaving a 32-year career for a startup(6:11) Media to legal: technology is technology(8:00) Remote work, and seeing it coming before COVID(10:00) How Your Tech Makeover was born(14:30) ProLegal as a platform for law firms(15:13) ProLegal Talent — idea to launch in under 3 months(17:44) Can AI give legal advice? Where Frank drew the line(18:41) Building fast with AI — and why nothing ships unreviewed(20:34) AI behind the scenes: funding personal-injury cases(22:20) Autonomy, ownership, and a small team that ships(25:11) Unlimited R&D: the tool that runs a law firm(29:05) Open source, standards, and data you can actually move(31:15) Regulation, education, and building things people understand(33:42) What's launching, and where to find FrankIf this shifted how you think about AI in your organization, follow What Comes Next with Arun and leave a 5-star review — it genuinely helps the show reach more leaders. Guest — Frank Bravo Your Tech Makeover: https://www.yourtechmakeover.com Bravo IT Consulting: https://www.bravoitc.com LinkedIn: https://www.linkedin.com/in/fabravo/ Newsletter: https://yourtechmakeover.substack.com Host — Arun Website: https://www.arunansupattanayak.com/ LinkedIn: https://www.linkedin.com/in/arunansuspeaks/ Book — Future-Proof Your Business: https://www.amazon.com/FUTURE-PROOF-YOUR-BUSINESS-Strategic-Framework-ebook/dp/B0H8MKQTKC Support the show  Book call with Arun:  https://go.tipsora.com/meet-with-arun

  7. Sep 11 ·  Video

    The Trust Layer for AI Agents — Ravi Bijlani, KYXStart.Ai

    Send us Fan Mail Your AI agent can book a flight, move money, and open accounts on your behalf. But it can't take a selfie or hold a driver's license — so how does anyone know it's really acting for you? Arun sits down with Ravi Bijlani, founder and CEO of KYXStart.Ai, who is building the trust and verification layer for the agentic era. Ravi spent 24 years in identity and payments before betting that the real bottleneck in AI wouldn't be intelligence — it would be trust. In this conversation:  – Why "card-not-present" is becoming "human-not-present"  – KYC for AI agents (KYCA): verifying who — or what — is on the other end of a transaction  – Binding an agent to a device and a verified human, with guardrails ("don't book a flight over $500")  – The coming protocol wars between Google, Stripe, Mastercard, and Visa — and why KYXStart sits above all of them  – How the business actually makes money when the underlying standard is open  – The financial-inclusion endgame: identity with nothing but a phone number and a selfie Chapters  00:00 – Most organizations aren't behind on AI — they're behind on the thinking  00:41 – Meet Ravi Bijlani and KYXStart.Ai  02:50 – The gap Ravi saw: 24 years in identity and payments  05:10 – Why agents need a trust layer  06:27 – The scale: 180+ countries, billions of identities  07:50 – How this differs from managed identity and RBAC  09:30 – Static identity → signal-based identity; "human-not-present"  11:20 – Guardrails and the $500 flight: KYC for agents  13:50 – Accountability and the agent registry  15:00 – Is there a global standard? The protocol wars  18:00 – Where KYXStart plays: the trust layer on top  21:00 – Monetizing an open standard  26:40 – Diversifying: agent onboarding for banks today  30:00 – Turning it into a platform: AML and risk scoring  33:25 – Team structure: 21 people, founder's mentality  38:20 – The R&D vision: a golden record and financial inclusion  42:00 – Partnerships, the ecosystem, and the tipping point  46:20 – Close Subscribe to What Comes Next with Arun and leave a 5-star review — it genuinely helps new listeners find the show. 🎧 Apple: https://podcasts.apple.com/us/podcast/what-comes-next-with-arun/id6788060249 🎧 Spotify: https://open.spotify.com/show/033KRXb9RHJJIDSoE2KjYF ▶️ YouTube: https://www.youtube.com/playlist?list=PLDBiRxvJWaSA 🌐 Website: https://www.arunansupattanayak.com/ 📘 Future-Proof Your Business: https://www.amazon.com/FUTURE-PROOF-YOUR-BUSINESS-Strategic-Framework-ebook/dp/B0H8MKQTKC Connect with Ravi Bijlani: https://www.linkedin.com/in/ravibijlani/   Company site: https://www.kyxstart.ai/ Support the show  Book call with Arun:  https://go.tipsora.com/meet-with-arun

  8. Sep 4 ·  Video

    The AI Family Office: Financial Advice for High Earners — with Lord Munjal

    Send us Fan Mail High earners rarely lose money because they make bad decisions. They lose it in the gaps — between a financial advisor who only sees stocks and bonds, a CPA who shows up 60 days before the deadline, an insurance agent working a different angle, and an estate plan that's either missing or out of date. Nobody is coordinating the whole picture. In this episode, Arun sits down with Lord Munjal, Founder & CEO of Alpheva AI, who is building a financial operating system for high earners — an "AI family office" for the people who earn well but were never big enough to afford the real thing. Using the five stages of the Double Advantage Cycle from Arun's book Future Proof Your Business, they trace how Alpheva found its nest, diversified into education, opened its platform to advisors, built an ownership-minded team, and is now moving toward agentic execution of your money. In this episode:  00:00 Cold open: behind on AI, or behind on the thinking?  00:38 Meet Lord Munjal and Alpheva AI  01:08 The Double Advantage Cycle framework  02:46 Finding the niche: the origin of Alpheva  03:53 The hidden problem — high earners lose money in the silos  07:05 Democratizing the family office for $400K+ earners  11:55 How the AI and human experts actually coordinate  15:56 AFI vs AGI: vertical intelligence, not general  16:29 Diversifying into education and a future social layer  22:26 Opening the platform to CPAs and advisors  25:18 Build Your Own Alpha: an ownership-minded team  28:02 R&D: agentic execution of your money  31:08 Crypto, metals, and surfacing opportunities  33:00 Shaping the external environment  35:13 Where to find Lord and a listener offer 🔗 Connect with Lord Munjal LinkedIn: https://www.linkedin.com/in/lordmunjal/  Alpheva: https://alpheva.com  Listener offer: use code Arun100 for 10% off Subscribe and leave a 5-star review — it helps more builders find the show. Support the show  Book call with Arun:  https://go.tipsora.com/meet-with-arun

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About

Most conversations about AI are either too technical for business leaders or too generic to be useful. What Comes Next with Arun fills that gap. Each episode translates real-world data and AI strategy into the language of competitive advantage — drawing on Arun’s 20+ years inside the world’s most complex enterprises, six years as a Microsoft Data & AI Executive, and his experience building Tipsora into a platform serving more than 95,000 professionals worldwide. This is not a podcast about AI tools. It is a podcast about building the organizational intelligence that makes tools matter.

Information

  • Creator
    Arunansu Pattanayak
  • Years Active
    2026
  • Episodes
    18
  • Rating
    Explicit
  • Copyright
    © 2026 What Comes Next with Arun
  • Show Website
    What Comes Next with Arun

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