Futureproof by Xano

Prakash Chandran, CEO & Co-Founder of Xano

Futureproof by Xano is a podcast for technical builders, entrepreneurs, and engineering leaders who want to stay ahead of what’s next. Hosted by Xano’s CEO & Co-Founder Prakash Chandran, each episode features conversations with innovators and industry experts who are shaping the future of technology, business, and product development.

  1. 1d ago

    Your Agent Doesn't Know What It Doesn't Know—with Heather Lutz (Datasite)

    If you plug an AI agent into your data, how do you know it's giving you the right answer—and not just a confident one? In this episode of Futureproof, Prakash Chandran sits down with Heather Lutz, Director of Engineering at Datasite, the provider of AI-powered solutions that enable private market investment, including virtual data rooms for mergers and acquisitions. Together, they unpack what happens when you point an agent at a massive data set without doing the foundational work first, why data readiness and governance are non-negotiable prerequisites for any AI initiative, and how Datasite is layering semantic views, verified queries, skills, and a "data doorman" to make agents actually useful.  About Datasite Datasite provides the infrastructure that enables information flow for private market transactions, with purpose-built tools to optimize outcomes. Datasite’s innovative product portfolio, spanning sell-side virtual data rooms, buy-side intelligence, agentic AI applications, and an open data infrastructure layer, drives execution across the full investment lifecycle while generating unique data insights to empower investors, advisors, and deal professionals worldwide. Trusted by top private equity firms, investment banks, and consultancies, Datasite is built on 26 years of enterprise-grade security, compliance, and reliability. For more information, visit www.datasite.com  Topics covered include: Agents are confident interns, not seasoned analysts: Why an AI agent querying your data won't know about data quality issues, duplicate revenue tables, or missing filters—and why confidence without context is worse than no answer at all.Data readiness as CI/CD: Why testing data should follow the same discipline as testing software—with checks at every stage of the pipeline—and why continuous data quality monitoring barely exists as a standard practice yet.Data governance makes agents work: How domain ownership, shared metric definitions, and semantic layers turn an unnavigable ocean of tables into a surface an agent can actually be expert on.Don't work with the ocean: Why starting with your top ten metrics, your most important structures, and a bounded consumable layer is the only practical path to making AI-over-data work at scale.Episode ID: 19329740-your-agent-doesn-t-know-what-it-doesn-t-know-with-heather-lutz-datasite Subscribe to Futureproof wherever you get your podcasts. From Xano - The fastest way to create a production-ready backend for any app or agent. Xano unifies AI speed, code control, and visual clarity, so you never trade reliability for velocity. Sign up for free today.

    47 min

  2. May 27

    The Right Answer Isn't Enough—with Karthik Narayan (Komodo Health)

    If an AI agent gives you the correct answer but took the wrong path to get there, can you actually trust it? In this episode of Futureproof, Prakash Chandran sits down with Karthik Narayan, Director of Product Management at Komodo Health, where he leads Marmot, an enterprise AI product for life sciences. Marmot's promise is that life sciences companies no longer need to send their data to McKinsey and wait months for an answer—they can ask complex healthcare questions and get answers directly. The catch? The answers aren't binary. Together, Karthik and Prakash unpack why grading an agent on whether it got the right answer is only half the story, how Komodo uses parallel critique agents and friction detection to close the gap between AI confidence and analyst rigor, and what changes when AI makes product leaders more powerful than they've ever been. Topics covered include: Why the path matters more than the answer: How an agent can arrive at the correct number through the wrong query, pass traditional evals, and then fail catastrophically on the next question—and why trajectory evals are the real measure of trustworthiness.Steering, not just answering: How Marmot uses research plans, follow-up questions, and full code transparency to give analysts maximum control over subjective healthcare methodology decisions.Friction detection over thumbs up/down: Why users rarely use explicit feedback mechanisms, how Komodo infers dissatisfaction from behavioral patterns, and how that drove a complete platform rewrite at the six-month mark.Build vs. buy when AI makes prototypes easy: Why a junior engineer's weekend demo isn't the same as a production system with fallback models, context compaction, token optimization, and continuous evaluation—and how to think about total cost of ownership.Episode ID: 19252007-the-right-answer-isn-t-enough-with-karthik-narayan-komodo-health Subscribe to Futureproof wherever you get your podcasts. From Xano - The fastest way to create a production-ready backend for any app or agent. Xano unifies AI speed, code control, and visual clarity, so you never trade reliability for velocity. Sign up for free today.

    40 min

  3. May 7

    Foundational Thinking in the Age of AI—with Doug Merritt (Aviatrix)

    If AI is making us faster, why does it feel like we're understanding less? In this episode of Futureproof, Prakash Chandran sits down with Doug Merritt, CEO of Aviatrix. Doug is one of the most accomplished enterprise technology leaders of the last two decades—after serving as CEO of Splunk for years, he's now leading Aviatrix to tackle cloud-native security. Together, they unpack why the speed of AI adoption is outrunning foundational understanding, how a recent supply chain attack on the popular LiteLLM framework exposed a massive blind spot in cloud security, and why the leadership principles that matter most right now—curiosity, empathy, and purpose before action—are the same ones our attention-starved culture makes hardest to practice. Topics covered include: As agents become more human, humans become more binary: Why the speed and abstraction of AI is making our thinking shallower at the exact moment we need it to be deeper—and how to fight back.The LiteLLM supply chain attack, explained: A breakdown of how attackers injected malware into LiteLLM, harvesting credentials from cloud environments—and why basic egress filtering would have stopped the damage cold.The three fundamental runtime controls: Why identity, endpoint, and network security are the only controls that actually stop attacks in progress—and why most cloud workloads are missing at least one.Cloud providers sold speed without brakes: How permissive outbound defaults became the norm, why cloud providers made firewalls an aftermarket add-on, and what that means for every organization deploying AI agents today.Five leadership principles for the AI age: Doug's hard-won framework—relentless curiosity, leading with empathy, purpose before action, radical accountability, and celebrating success—and why daily mastery beats chasing the next shiny thing.Episode ID: 19139581-foundational-thinking-in-the-age-of-ai-with-doug-merritt-aviatrix Subscribe to Futureproof wherever you get your podcasts. From Xano - The fastest way to create a production-ready backend for any app or agent. Xano unifies AI speed, code control, and visual clarity, so you never trade reliability for velocity. Sign up for free today.

    47 min

  4. Apr 23

    AI Makes Security Everyone's Problem—with Tim Olshansky (Fencer)

    If AI agents are writing your code, how are you making sure it's secure? In this episode of Futureproof, Prakash Chandran sits down with Tim Olshansky, CTO and co-founder of Fencer, to explore what application security really looks like in a world where AI writes most of the code and open source software underpins everything. Tim shares his journey from engineer—navigating bureaucratic security processes at larger organizations—to building a platform that makes security accessible for companies under 200 employees. Together, they unpack why compliance certifications often create a false sense of security, how the open source supply chain has become a prime target for attackers, and what "trust but verify" means when Claude is opening your pull requests. They also discuss practical steps any builder can take today—from package manager hygiene to cooldown periods—and why hiring for engineering talent has never been harder to figure out. Topics covered include: Security as hygiene, not a project: Why treating security like brushing your teeth—small, consistent habits—prevents catastrophic outcomes, and why most small companies still skip it.The open source supply chain is under attack: How threat actors exploit volunteer-maintained libraries like Axios to gain access to thousands of commercial products at once—and why it's only getting worse.AI-generated code and the false sense of security: Why LLMs trained on publicly available code don't encode the highest corporate security standards, and why the code itself may not be what gets you hacked.Trust but verify in an AI-first workflow: How Tim's team moved to nearly 100% AI-driven development while still requiring human review.Episode ID: 19061977-ai-makes-security-everyone-s-problem-with-tim-olshansky-fencer Subscribe to Futureproof wherever you get your podcasts. From Xano - The fastest way to create a production-ready backend for any app or agent. Xano unifies AI speed, code control, and visual clarity, so you never trade reliability for velocity. Sign up for free today.

    47 min

  5. Apr 9

    From Prototype to Enterprise-Grade Compliance—with Michael Konrath (Choice Digital)

    What does it really take to build a regulated fintech product from scratch—with a small team and a bootstrapped budget? In this episode of Futureproof, Prakash Chandran sits down with Michael Konrath, co-founder and Chief Product Officer of Choice Digital, a fintech company that ensures customers—including the unbanked—actually receive the payments they're owed. Michael shares the full arc of building Choice Digital: from prototyping on Bubble in a co-working space to processing nearly $1 billion in payments today. Along the way, they dig into the realities of compliance in a regulated industry, the trade-offs of building fast versus building right, and how AI is starting to reshape the way his team ships software. Topics covered include: Starting small with no-code: Why Choice Digital's first product was built on no-code tools in 30 days, processed $20 million in payments, and lasted far longer than expected—plus how that scrappy mindset still matters in the age of AI.Compliance as a foundation, not an afterthought: The case for investing in SOC 1 and SOC 2 frameworks early, how PCI compliance shapes product architecture, and why segmenting systems can simplify your regulatory journey.AI adoption in a regulated space: Why Choice Digital is taking a deliberate, human-in-the-loop approach to AI, focusing on deterministic processes and clear policies before letting models touch customer data.Episode ID: 18983940-from-prototype-to-enterprise-grade-compliance-with-michael-konrath-choice-digital Subscribe to Futureproof wherever you get your podcasts. From Xano - The fastest way to create a production-ready backend for any app or agent. Xano unifies AI speed, code control, and visual clarity, so you never trade reliability for velocity. Sign up for free today.

    42 min

  6. Mar 26

    Dissecting the AI Hype Cycle—with Joshua Greenbaum (Enterprise Applications Consulting)

    What if AI is just the latest Blockchain? In this episode of Futureproof, Prakash Chandran sits down with Joshua Greenbaum of Enterprise Applications Consulting to explore the AI hype cycle. Josh reflects on his 30 years of technology consulting and examines whether AI is following the same trajectory as other technologies, where true value can get lost in the froth and frenzy of investors and founders trying to capitalize on it. Together, they explore the reality of whether SaaS really is dead, the criticality of standardizing data in the AI era, and the central question that all AI companies should be able to answer.  Topics covered include: Technology history repeats itself. While technology itself changes constantly, the way it is received in the market doesn’t. From dotcom to Blockchain, the hype cycle has a pattern.The hard parts of SaaS. SaaS is certainly changing, but reports of its death have been greatly exaggerated. AI that can build prototypes is far from replacing companies like Salesforce, which have learned from years of on-the-ground work with real customers and real problems.The importance of data standardization. The value of AI will come down to how well it can access the information it needs. Standardization of data and logic is critical to this outcome, and one that companies have to get right before they can succeed with AI.The lone wolf developer. Developers aren’t going away, but developers that work in a vacuum may be. Building is a team sport even more than it was before, and the developers who can see and understand business problems are the ones that will build the future.The real question all AI companies need to ask. No business leader is waking up in the middle of the night thinking, “I need a large language model!” All companies, and AI companies in particular, must remain laser-focused on the actually important question: “What business problem am I solving?”Episode ID: 18906617-dissecting-the-ai-hype-cycle-with-joshua-greenbaum-enterprise-applications-consulting Subscribe to Futureproof wherever you get your podcasts. From Xano - The fastest way to create a production-ready backend for any app or agent. Xano unifies AI speed, code control, and visual clarity, so you never trade reliability for velocity. Sign up for free today.

    47 min

  7. Mar 12

    Build vs. Buy in an AI-First World—with Yvonne Lau (HR Verticals Inc.)

    If enterprises already have massive SaaS platforms, why would they build custom tools instead? In this episode of Futureproof, Prakash Chandran sits down with Yvonne Lau, CEO of HR Verticals Inc., to explore the real tradeoffs of build vs. buy in technology—and what changes when AI and low-code tools enter the picture. Yvonne shares her journey from corporate HR practitioner to founder, tracing a career spent implementing global HR systems at scale before deciding to build her own. Together, they unpack why enterprise SaaS feels bloated for many organizations, how rapid prototyping with no-code and AI wins over skeptical buyers, and what it takes to sell custom-built software into compliance-heavy environments. They also discuss the shifting identity of non-technical founders, the importance of staying hands-on, and why the next generation of HR professionals may simply build the tools they wish they had. Topics covered include: The SaaS bloat problem: Why enterprises pay for full suites but use only a fraction of the features—and how modular, custom-built tools offer a better fit.Rapid prototyping to win trust: How shipping an MVP in days using no-code and AI helps enterprise clients visualize what's possible and move past the subscription-only mindset.Compliance and IT collaboration: Why founders must bring IT into the conversation early, stay current on regulations, and anticipate security concerns—especially when AI is involved.AI as force multiplier: How Yvonne uses AI across operations and development to automate admin work, accelerate learning, and shorten build cycles.Episode ID: 18799836-build-vs-buy-in-an-ai-first-world-with-yvonne-lau-hr-verticals-inc Subscribe to Futureproof wherever you get your podcasts. From Xano - The fastest way to create a production-ready backend for any app or agent. Xano unifies AI speed, code control, and visual clarity, so you never trade reliability for velocity. Sign up for free today.

    38 min

  8. Feb 26

    AI Development Isn’t an Easy Button—with Aleksander Hakestad (Apart Tech)

    What if writing code isn’t actually the most important part of engineering? In this episode of Futureproof, Prakash Chandran sits down with Aleksander Hakestad, CTO and co-founder at Apart Tech, to explore what it really takes to build software in an AI-native world without losing quality, craft, or control. Aleksander explains why the best leaders stay hands-on so they can evaluate quality, why depth of expertise beats climbing the career ladder, and why communication becomes the true bottleneck in modern engineering—especially across cultures and teams. Together, they unpack a pragmatic model for AI-assisted development where agents touch everything, humans own the architecture, and teams learn fast by setting clear standards, building tight feedback loops, and committing fully to a new way of working. Topics covered include: AI-assisted development is still engineering: Why prompting is only the start—and disciplined iteration is what makes it reliable.Hands-on leadership and quality control: Why leaders must stay close enough to the craft to evaluate output and set the bar.Communication as the real bottleneck: How visual systems reduce misalignment across teams, languages, and cultures.From big teams to small, leveraged teams: How agentic workflows can create outsized throughput with a small core team.Depth over titles: Why mastering a domain matters more than career climb—and why expertise is more valuable than ever.Episode ID: 18740056-ai-development-isn-t-an-easy-button-with-aleksander-hakestad-apart-tech Subscribe to Futureproof wherever you get your podcasts. From Xano - The fastest way to create a production-ready backend for any app or agent. Xano unifies AI speed, code control, and visual clarity, so you never trade reliability for velocity. Sign up for free today.

    55 min
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About

Futureproof by Xano is a podcast for technical builders, entrepreneurs, and engineering leaders who want to stay ahead of what’s next. Hosted by Xano’s CEO & Co-Founder Prakash Chandran, each episode features conversations with innovators and industry experts who are shaping the future of technology, business, and product development.

Information

  • Creator
    Prakash Chandran, CEO & Co-Founder of Xano
  • Years Active
    2025 - 2026
  • Episodes
    18
  • Rating
    Explicit
  • Copyright
    © 2026 Futureproof by Xano
  • Show Website
    Futureproof by Xano

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