Future Proof: Building AI Products that Last

Paragon

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Future Proof brings top Product and Engineering leaders in B2B SaaS, working on AI products, to share learnings, discuss challenges and the latest developments in the future of B2B software. Producer: Forrest Herlick Host: Ethan Lee

FEB 17

Databricks’ Approach to MCP, Identity, and Control | Future Proof Ep. 12

In the latest episode of Future Proof, we sat down with Elise Gonzalez, Staff PM at Databricks, to unpack how Agent Bricks and the MCP marketplace are shaping what enterprise-ready agents actually look like. We cover: Why governance, audit-ability, and user-level identity are the real blockers to enterprise agent adoptionHow MCP unlocked momentum — and why marketplaces, validation, and control are required to make it safeWhen multi-agent architectures make sense (and when they just add complexity)Why most MCP servers today won’t survive long-term — and what agent-native tools need to look likeHow AI is changing who uses data platforms, not just what they buildHighlights (00:00) Multi-Agent Architecture From Microservices to Agent Supervisors (02:12) Agent Bricks Overview Core Use Cases Extraction, Knowledge Assistants, Composition (04:01) MCP Marketplace Discovery, Governance and Enterprise Control (07:39) Validating MCP Servers Auth, Permissions and Auditability (11:37) Preventing Data Leakage Tool-Level Controls and Safety Patterns (14:58) MCP vs REST Rebuilding APIs for Agent-Native Workflows (18:48) Multi-Agent Risks Privilege Escalation, Context Sharing and Debugging (22:16) When to Use Multi-Agent vs Single-Agent Architectures (30:13) Why Databricks Invested in AI Agents and Data Governance (33:22) The Shift in Users Engineers, Business Users and Databricks One Ship integrations 10x faster with Paragon

37 min
JAN 13

How Intercom built Fin:The Flywheel Behind a Production-Ready AI Agent | Future Proof Ep. 11

In the latest episode of Future Proof, we sat down with Christine Zdelar, Director of Product at Intercom, to unpack how Fin has evolved from one of the first AI CX agents in production into a best-in-class support agent. We cover: - The Fin Flywheel and why training, testing, and analysis are core to agent success - Why Intercom went all-in on outcome-based pricing- How MCP, permissions, and oversight show up in real-world production systems - What it takes to push AI resolution rates from ~20% to 60% - And why Intercom is investing deeply down the stack, including building its own models Timestamps: (0:00) Clips(0:55) Introduction(1:26) Getting Fin production ready(4:46) Adopting MCP, is it ready?(7:26) Integrating with helpdesks(11:26) Connecting with knowledge bases(13:26) Resolution-based pricing strategy(19:26) Is the market ready for end-to-end AI resolutions?(23:26) Intercom adopting AI processes(25:26) What needs to happen for customers to adopt Fin(28:26) Intercom builds its own models?(34:26) Closing thoughts Ship integrations 7x faster useparagon.com Host: Ethan Lee Guest: Christine Zdelar Produced by: Forrest Herlick

31 min
11/25/2025

Inside Gong’s AI Strategy: Context, Memory and Human Trust with Gong's VP of Product, Noaa Ilani

In Episode 10 of Future Proof, we sit down with Noaa Ilani, VP of Product at Gong, to unpack how AI is transforming sales, Gong’s vision for agentic workflows, and what the future of human–AI collaboration really looks like. (0:00) Clips + Introduction (1:50) Fully automated sales rep? (5:00) Sales is built on human trust (5:30) Solving the memory problem (10:00) Understanding conversations (13:00) Accounting for tone (16:20) Embedding agents into other systems? Gong’s vision (22:00) Integrating with other AI tools (23:00) Mitigating missing data (28:35) Human collaboration with AI (34:00) Closing thoughts

32 min
11/04/2025

Deploying AI systems that enterprise clients trust, with ada.cx Chief Product and Technology Officer

In the latest episode of Future Proof, building AI products that last, Mike Gozzo, Chief Product and Technology Officer at Ada, shares how Ada is helping enterprises move from scripted chatbots to reasoning-driven AI agents, why trust and human empathy remain the foundation of customer experience, and how metrics like “automated resolution” are redefining success in enterprise AI deployments. Highlights: 0:00 Clips 0:36 Intro 1:54 Future of customer experience 5:00 Building trust 8:00 Getting executive buy-in 10:00 What true resolution looks like 13:00 How Ada measures success with “automated resolution” 16:00 Mirroring human QA processes 18:00 Why domain expertise is the new superpower for AI founders 19:30 Grounding responses with retrieval, context, and memory 22:00 Balancing latency, reasoning, and customer experience 24:00 Deploying agents safely and effectively 26:00 Voice automation and ROI across industries 29:00 Surpassing human agents and the future of AI-driven CX Ship integrations 7x faster: https://www.useparagon.com/ Host: Ethan Lee Guest: Mike Gozzo Produced by: Forrest Herlick

31 min
10/14/2025

Inside Cohere's Approach to Enterprise AI Agents | Elliott Choi | Director of Product, Cohere

In the latest episode of Future Proof, building AI products that last, we chat with Elliott Choi, Director of Product at Cohere. Elliott shares how Cohere is shaping the path from simple demos to enterprise deployment, why oversight, auditability, and security are essential for agent adoption, and the role of automation and memory in moving toward fully autonomous AI agents. Highlights:(0:00) Clips(1:07) Intro & $500M fundraise at Cohere(2:20) Defining AI agents for the enterprise(5:00) Traceability, observability & automation guardrails(8:12) Automating well-defined enterprise processes(11:21) Why flashy demos break in enterprise(12:09) Architecture pitfalls: prompts, data sources & security(15:15) Managing context & RAG performance(17:08) Building semantic vs. procedural memory(19:24) Permissioning & secure data access with SSO(21:32) Why memory makes agents sticky(25:54) From automations to fully autonomous agents(26:57) Closing thoughts Ship integrations 7x faster → https://www.useparagon.com/ Host: Ethan LeeGuest: Elliott ChoiProduced by: Forrest Herlick

27 min
09/24/2025

How to add AI features, without destroying your core app, CPO at Crunchbase, Megh Gautam

In the latest episode of Future Proof, building AI products that last, we chat with Megh Gautam, Chief Product Officer at Crunchbase. Megh shares how Crunchbase's customer-first approach to AI implementations preserved user trust while transforming search workflows, and practical strategies for rolling out AI features without alienating existing power users.Highlights:(0:00) Intro(1:00) Crunchbase positioning as role of CPO(3:40) Adding AI capabilities to current product(7:15) Learnings from experiments that didn’t work out the way it was expected(10:45) Metrics used to measure AI features delivering value(14:00) How Crunchbase thinks about aligning with user needs, not just cool tech(20:30) Where are AI builders making mistakes between AI technology and their users(24:00) Navigating the prioritization between core platform improvements and AI capabilities(28:30) Closing thoughtsShip integrations 7x faster www.useparagon.comProduced by: Forrest HerlickHost: Ethan LeeGuest: Megh Gautam

31 min
09/02/2025

Why the best User Experience will Decide the AI Winners | Anant Bhardwaj, Founder & CEO of Instabase

In today’s episode of Future Proof, we sit down with Anant Bhardwaj, Founder & CEO of Instabase. Anant shares how Instabase pioneered the use of transformer models for unstructured enterprise data, and how the rise of large language models is shifting value creation from field-level accuracy to full end-to-end workflows. We discuss: Finding product-market fit with nascent AI technologiesMoving beyond “LLM wrappers” to deliver end-to-end customer valueLessons from building in regulated industries like banking and healthcareWhy user experience, not model quality, defines AI product successHighlights: (0:00) Clips (0:53) Opening thoughts (2:15) Instabase early journey before the AI wave (5:28) How new models have shifted product development strategy (10:16) Creating value for customers with LLMs (12:06) Working with heavily regulated customers (15:16) What’s been the hardest about building infrastructure for unstructured data use cases? (21:06) AI infrastructure bets companies should be making today? (23:06) How Agents will work with unstructured data? Host: Ethan Lee https://www.linkedin.com/in/thatethanlee/ Producer: Forrest Herlick https://www.linkedin.com/in/forrestherlick/ Guest: Anant Bhardwaj https://www.linkedin.com/in/anantpb/ Ship integrations 7x faster -> www.useparagon.com Learn more about Instabase -> https://instabase.com/

28 min
08/18/2025

How Descript designs AI interfaces that feel natural | Laura Burkhauser, VP of Product at Descript

In today’s episode of Future Proof, we sit down with Laura Burkhauser, VP of Product at Descript. Laura shares how Descript’s design philosophy enables users to maintain control over AI creative workflows, and practical strategies for building AI interfaces that feel collaborative rather than restrictive. We discuss: Designing user interfaces in AI productsHow to make AI feel naturalHow to give users a sense of control Highlights (0:00) Clips (0:37) Introduction (1:00) Designing interfaces that make users trust they’re in control (6:00) Open World AI Design Philosophy (8:40) Was there ever a tool you needed to modify once AI got access? (13:45) How to encourage users to understand what AI is good at (19:00) Giving control back to users (20:30) How to handle latency (23:00) Context switching while AI does its work (25:00) Biggest UI opportunities (30:00) Will we progress beyond a chat model?

33 min
08/05/2025

Why Every AI PM Needs to Run Evals | Aman Khan, Arize AI Head of Product (Ex. Spotify, Apple, Cruise)

In this episode of Future Proof, we sit down with Aman Khan, the Head of Product at Arize AI. Aman reveals why traditional product metrics fail for AI systems and shares Arize's framework for building evaluation systems that actually predict real-world AI performance, plus the emerging PM skills that separate successful AI products from failed experiments. We discuss: How AI builders should think about evaluationsThe role of the AI pm and how product management is evolvingHow you should build with the expectations of foundation models changing. (0:00) Highlights (0:37) Intro (1:40) What is an AI pm (4:10) How PMs are evolving with AI (8:10) The Aha moment in AI (11:50) What AI builders should think about evaluations (19:40) How AI builders best leverage their time in AI evaluations (23:40) Prompt iteration - if your evaluations are not ideal, how do you iterate? (27:40) What’s the minimum viable eval someone should write (30:40) How would prioritization change based on the future of AI models (36:40) Final thoughts (38:00) Ethan's reflection Ship integrations 7x faster https://www.useparagon.com/ Watch all Future Proof episodes: https://www.useparagon.com/future-proof

40 min
07/22/2025

Why MCP products struggle with enterprise adoption | Michael Grinich, CEO and Founder WorkOS

In this episode of Future Proof - Building AI products that last, we sit down with WorkOS founder and CEO, Michael Grinich, on what it takes to make MCPs production-ready. We discuss: What it means to be ‘MC Pilled’What’s missing from MCP to make it enterprise-ready?How to build a product for a world of agentic users Highlights (0:00) Clips (0:44) intro (1:11) MCP night (3:49) What is preventing demos from production ready AI agents (6:41 ) Authorizing tools in MCP (9:01) Should AI builders develop protocols themselves? (11:11) When should you build a MCP server (12:41) MCP ecommerce shop (14:05) Why are permissions a problem in rag (22:11) WorkOS acquisition of warrant (FGA) (26:11) How auth changes once agents become common users of webapps (oAuth 3.0) (30:11) How should builders shape their apps to be prepped for the future? Scale your AI product's integration roadmap with Paragon: https://www.useparagon.com/?utm_source=futureproofpodcast Sign up for their MCP night → https://workos.com/mcp-night

32 min
06/16/2025

Beating OpenAI - How to build your Niche | Richard Socher, CEO and Cofounder You.com

Welcome to the second episode of the Future Proof Podcast: Building AI Products That Last! In this episode, we chat with Richard Socher, CEO and Co-founder of You.com, about how they pivoted from consumer search to enterprise, and now outperform OpenAI. We cover: Building for the future of Enterprise productivityHow to build a competitive advantage against industry leaders like Open AIIs chat the final interface for work? (00:00) Clips (00:50) Intro (01:10) How Richard started You.com (05:40) Building for the enterprise use case (09:20) How to outperform OpenAI (14:00) Advice for AI founders (19:00) Is chat the final interface for work? (23:30) Will there be a consolidation of AI? (24:40) How will AGI affect the future of work? Scale your AI product's integration roadmap with Paragon at https://useparagon.com

31 min
05/27/2025

How Box builds for Enterprise AI | Aaron Levie

Welcome to the first episode of the Future Proof Podcast: Building AI Products That Last! In this episode, we chat with Aaron Levie, CEO and founder of Box, about what it takes to build successful Enterprise AI products. We cover: Why good data is a moat / flywheel for AI productsThe importance of access controls in RAGBuilding broad or building deepAPIs, MCPs, A2A(00:00) Clips (00:30) Intro (01:40) Box's AI strategy (04:45) RAG use cases with proven value (09:05) Horizontal vs. deep product strategy (11:14) Prompts as IP (12:05) Importance of secure RAG in enterprise AI (16:28) Ingest vs. agentic queries (19:10) APIs, MCPs and Agent-to-Agent (21:20) Moats and network effects for AI companies (26:49) Risk of bad data (29:48) A few large AI agents vs. many niche AI agents Scale your AI product's integration roadmap with Paragon at https://useparagon.com/?utm_source=podcast/utm_campaign=ep1

33 min

12 Episodes

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out of 5

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Future Proof brings top Product and Engineering leaders in B2B SaaS, working on AI products, to share learnings, discuss challenges and the latest developments in the future of B2B software. Producer: Forrest Herlick Host: Ethan Lee

Creator

Paragon
Years Active

2025 - 2026
Episodes

12
Rating

Clean
Copyright

© Paragon
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Future Proof: Building AI Products that Last

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