Terminal Value

Nik Singh

Terminal Value is a market landscape podcast that breaks down where value accrues in AI, software, and technology markets through deep dives with founders, operators, and investors.

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  1. Your Website Is the New Sales Agent | AJ Goyal, Fibr AI

    -41 МИН

    Your Website Is the New Sales Agent | AJ Goyal, Fibr AI

    AI agents are starting to change how marketing teams turn digital traffic into revenue. In this episode of Terminal Value, Nik Singh sits down with AJ Goyal, co-founder and CEO of Fibr AI, to unpack why web conversion is still so manual — and how agentic AI could reshape the workflow between paid traffic, websites, experiments, and revenue. For years, marketing teams have gotten increasingly sophisticated at targeting ads, segmenting audiences, and optimizing acquisition. But once that traffic reaches the website, the experience often becomes static, generic, and dependent on analysts, agencies, marketing operations, and engineering tickets. Fibr sits in the middle of that workflow. The company helps teams take the intent already captured in ads, campaigns, and analytics and turn it into personalized web experiences that can be tested and improved continuously. We cover: * Why web conversion is still such a manual workflow* How marketers depend on analysts, agencies, marketing ops, and engineering* Why personalization often breaks down after the ad click* How Fibr uses AI agents to create and improve web experiences* Why reducing CAC is the wedge for enterprise buyers* How agentic software changes pricing, deployment, and GTM* Why incumbents may struggle when AI threatens their agency ecosystems* What happens when AI agents become users of the web Chapters: 00:00 – Hook00:30 – Introducing AJ Goyal and Fibr AI01:39 – How web conversion works today04:10 – The modern marketing and web stack06:49 – Where the workflow breaks down09:29 – What Fibr does11:39 – How Fibr changes the marketer’s workflow14:16 – The first wedge: reducing CAC15:00 – Customer example: 48% CAC reduction16:35 – Where humans stay in the loop18:12 – Why more data improves the agent loop19:09 – Fibr’s enterprise ICP21:12 – Go-to-market: events, conferences, and LinkedIn23:04 – Pricing agentic software25:12 – Enterprise pricing pushback27:20 – Proof-of-concept motion and ROI28:59 – Deployment and implementation29:47 – Competitive landscape: Optimizely, Adobe, and agencies31:38 – Incumbents, agency channels, and agentic conflict33:31 – Product utilization and always-on experimentation35:10 – Could agencies become a channel?36:17 – How AI changes marketing orgs and agencies38:59 – Will marketing teams get leaner?39:28 – The future of agentic web experiences41:29 – Final takeaways: workflow collapse, GTM conflict, and agents as users Subscribe to Terminal Value for conversations with founders, operators, and investors on where value accrues across markets, software, AI, and infrastructure. #AI #MarketingAI #AgenticAI #EnterpriseSoftware #SaaS #ConversionOptimization #DigitalMarketing #TerminalValue

    44 мин.
  2. The UI Layer Is Gone: Welcome to Agentic FP&A | Austin Gardner-Smith, Drivepoint

    14 МАЯ

    The UI Layer Is Gone: Welcome to Agentic FP&A | Austin Gardner-Smith, Drivepoint

    AI is changing FP&A from a tool-assisted workflow into something closer to an operating system for business planning. In this episode of Terminal Value, Nik Singh sits down with Austin Gardner-Smith, Founder & CEO of Drivepoint, to discuss why financial planning and forecasting are especially critical in consumer, retail, and CPG businesses. The conversation covers why forecasting can be “life or death” when inventory, cash flow, and margins are on the line; why vertical software may beat horizontal FP&A tools; how AI changes the value proposition of SaaS; and what happens to finance teams as software moves from organizing work to actually doing the work. Drivepoint is building agentic planning software for consumer and retail brands, helping teams connect data across Shopify, Amazon, retailers, ERP systems, inventory systems, and finance workflows. Chapters: 00:00 — Why forecasting is life or death in retail and CPG00:50 — Welcome to Terminal Value01:00 — What Drivepoint is building01:20 — Why this is about more than FP&A software01:50 — What FP&A actually does inside the CFO office04:10 — The evolution of FP&A tools: Oracle, Anaplan, Adaptive, Workday, Pigment06:30 — What Drivepoint does differently07:50 — From financial models to proactive scenario planning09:50 — Why Drivepoint focuses on consumer and retail12:30 — Why inventory makes forecasting high stakes13:40 — How AI changes FP&A for business leaders15:40 — Trust, permissions, and governed access in AI finance tools16:30 — Why the UI layer is collapsing17:20 — Why data quality matters more in AI-native software19:30 — How software pricing may change in an AI world22:30 — Will Anthropic or OpenAI build this?25:10 — How AI changes finance team org design27:10 — Where Drivepoint goes next28:40 — Nik’s closing thoughts: context, vertical AI, and where software value accrues Topics covered: FP&A software Vertical AI Agentic planning Retail and CPG forecasting Inventory planning Strategic finance Office of the CFO SaaS pricing models AI and finance jobs Data quality and context layers Drivepoint Subscribe to Terminal Value for deep dives on where value accrues across AI, software, and markets. #investing #retailtech #venturecapital

    31 мин.
  3. AI Software Has a Gross Margin Problem — Frugal’s Mike Weider on the Future of Cloud Cost Management

    5 МАЯ

    AI Software Has a Gross Margin Problem — Frugal’s Mike Weider on the Future of Cloud Cost Management

    AI-native software is changing the economics of SaaS. For years, cloud cost management was mostly about visibility: dashboards, budgets, showback, chargeback, and rate optimization. But as AI usage, token costs, observability bills, and cloud consumption become material parts of software gross margin, the problem is moving closer to the code itself. In this episode of Terminal Value, I sit down with Mike Weider, Founder & CEO of Frugal, to discuss the shift from traditional FinOps to Application Cost Engineering. We cover why legacy cloud cost tools mostly helped companies measure spend, how Frugal maps cloud and AI costs back to the code driving them, why AI-native companies face a more urgent gross margin problem, and why cost optimization may become part of the developer workflow. Chapters:00:00 Cold open: AI’s gross margin problem00:25 Welcome to Terminal Value01:20 Why cloud cost management matters more because of AI01:50 Interview begins02:00 The first wave of cloud cost management04:20 Showback, chargeback, and the finance/engineering tension06:35 What Frugal is building07:00 Why cloud cost optimization is too reactive today09:35 Moving cost visibility into the developer workflow10:00 Mapping cloud, AI, and observability costs back to code12:10 How FinOps and engineering work together14:45 Building trust in cost-to-code automation17:45 Why Frugal uses a forward-deployed engineer model20:00 Why AI still needs the right context21:45 Frugal’s ICP and where customers get the most value23:25 Why AI-native companies have a gross margin problem24:35 Frontier models, cheaper models, and evals28:00 Pricing AI-native software31:20 How AI changes engineering teams32:35 Engineers as conductors of AI agents35:20 Where Frugal sits in the software stack37:20 Why FinOps dashboards still matter39:00 Competition from FinOps, observability, and coding agents41:05 The future of cost-aware code43:00 Key takeaways from the conversation Terminal Value explores where value accrues across markets, software, AI, and infrastructure through deep dives with founders, operators, and investors. Subscribe for more conversations on the businesses and markets shaping the next wave of enterprise software. #AI #Software #FinOps #CloudComputing #SaaS #EnterpriseSoftware #GrossMargins #TerminalValue

    45 мин.

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Terminal Value is a market landscape podcast that breaks down where value accrues in AI, software, and technology markets through deep dives with founders, operators, and investors.