AI-Powered RevOps is where real talk meets real-world execution in an AI-powered world. Host Sandy Robinson sits down with operators, enablement leaders, GTM owners, and vendors to unpack what’s actually working (and what isn’t) when it comes to building an AI-powered revenue engine, without losing your mind in the process.
On this show, you’ll hear: • How teams are really using AI in RevOps and enablement • Experiments, playbooks, and the messy lessons learned along the way • Alignment, change management, and leadership in the middle of constant change • Success stories, major flops, and unapologetic hot takes • Deep dives on tools and workflows from practitioners, vendors, and operators in the trenches • Every episode closes with 5 rapid-fire questions pulled from what everyone is asking in RevOps right now
No BS and no scripts. Just candid conversations designed to leave you with ideas to try tomorrow, solutions to nagging problems, insights on tools, and guidance on how to keep your revenue engine (and your sanity)running. Expect a few laughs, plenty of honesty, and seriously actionable ideas.
Sandy Robinson has spent over 20 years leading Revenue Operations and Enablement in SaaS and other industries, in small startups, growing scale-ups, and mature or even public companies. From building sales operations foundations and leading cross-functional GTM teams, to designing revenue engines built for scale and aligning marketing, sales, and customer success around the full customer journey. Her focus has always been on turning messy, real-world challenges into practical playbooks, empowering teams through training and change management, and challenging the status quo when it gets in the way of growth. A few years ago, she completed her Master’s degree in Education in Training and Development. Sandy wanted to do this podcast because she is in student mode, and she wanted to share her learnings with others. She has always had a passion for continuous learning, and now that focus is on AI in RevOps.
If you’re ready for clarity, a few laughs, and a steady stream of actionable ideas, hit follow on AI-Powered RevOps and queue up the first episode.
Stop Managing Tools, Start Managing Agents: The New RevOps Framework with Mallory Lee
Season 1 · Episode 6
Monday, February 16, 2026 • Duration 42:51
Is your RevOps team unified, or just a collection of scattered silos?
In this episode of AI Powered RevOps, host Sandy Robinson sits down with Mallory Lee, the VP of Revenue Operations at Zipline. With over 15 years of experience leading ops at high-growth companies like Nylas and Terminus, Mallory knows exactly what it takes to knit together marketing, sales, and customer success into a single holistic strategy.
Key Takeaways:
Unifying the Engine: Why the first step to successful RevOps is breaking down isolated department silos.
The "Twice a Day" Rule: A simple leadership framework for driving company-wide AI adoption.
Automating the Pipeline: How to use AI to handle CRM admin work so reps only have to focus on close dates and deal amounts.
The Rise of the GTM Engineer: Why this new role is critical for orchestrating complex AI systems.
AI Literacy at Home: A personal look at raising kids in the age of AI and using agents to track health and fitness.
AI-Powered RevOps: Ending "Metrics Tourism" with Oscar Armas-Luy
Season 1 · Episode 5
Monday, February 2, 2026 • Duration 33:30
AI-Powered RevOps: Ending "Metrics Tourism"
In this episode, Sandy Robinson sits down with Oscar Armas-Luy, VP of Revenue Operations at Garner Health. Oscar blends a Computer Science background with GTM execution to dismantle AI hype and replace it with a practical playbook for 2026.
Oscar reveals his strategy for turning Gemini Pro and Google Apps Script into a custom automation engine that eliminates hours of manual reporting and human error. If you’ve ever felt buried under dashboards that look pretty but drive zero action, this episode is your antidote.
Inside the Episode:
The "Metrics Tourism" Trap: Why "interesting" data is the enemy of actionable growth telemetry. Oscar explains how to stop reporting for reporting's sake and focus on the inputs that actually move the needle.
The AI Spreadsheet Engine: A technical deep dive into using LLMs to write code that supercharges Google Sheets and Excel. Learn how Oscar automated a 3-hour manual reporting "beast" into a 30-second refresh.
Strategic Thought Partnership: Moving beyond simple task automation. Oscar shares how he uses AI for Game Theory in vendor negotiations and to pressure-test contrarian ideas to avoid confirmation bias.
Design Risk vs. Execution Risk: A new leadership framework. Why the biggest threat to AI adoption isn't technical failure, but propagating suboptimal architecture at scale.
Episode Chapters:
[00:31] Meet Oscar Armas-Luy: From Computer Science to RevOps Leadership.
[04:23] Language as Math: Why LLMs are "Pattern Machines."
[06:03] Why Oscar has declared war on "Metrics Tourism."
[08:26] The Tech Stack: Scaling RevOps with Google Apps Script and Gemini Pro.
[14:24] Evolution of AI: Moving from task-bot to strategic thought partner.
[17:16] Negotiation Strategy: Using AI for vendor contracts and game theory.
[23:51] Vendor Reality Check: Why "Out of the Box" AI features often fail.
[28:49] Design Risk vs. Execution Risk: The new framework for AI leadership.
[31:51] Rapid Fire: Data readiness and the future of the role.
Links
Automation:
AI-Powered Outbound, “Baseball Cards,” and the SPORTS Framework (with Jeff Ignacio)
Season 1 · Episode 4
Monday, January 19, 2026 • Duration 29:47
SUMMARY Jeff Ignacio (Founder, RevOps Impact) joins Sandy Robinson to break down how modern RevOps teams are using AI to accelerate outbound, enrich accounts fast, and shift rep time back to customer-facing work. We cover GTM Engineering, build vs. buy (TCO + technical debt), human-in-the-loop for enterprise, and practical “start small” steps to adopt AI without breaking your systems.
SHOW NOTES • Jeff’s background: hyperscalers + startups → independent advisory (RevOps Impact) • Build vs. buy: total cost of ownership, cost/quality/speed tradeoffs, and succession planning • The SPORTS framework: Strategy → Process/Playbooks → Operating Rhythms → Targets/Thresholds/Trends → Systems • A 4-step outbound framework: company research → persona research → offer/value prop → tailored sequencing • Human-in-the-loop: when automation works vs. when review matters (enterprise/ABX) • Adoption: early wins, champions, and overcoming skepticism • Where to start: use existing vendor AI features, learn webhooks/APIs, and strengthen prompting • Rapid fire: data readiness, churn analysis, ROI (revenue attainment + CAC), future of RevOps
Leveraging AI for Business Growth with Jordan Shaheen
Season 1 · Episode 3
Monday, January 5, 2026 • Duration 37:26
Summary
In this episode of AI Powered RevOps, host Sandy Robinson interviews Jordan Shaheen, Head of Revenue and Strategy operations at Candid. They discuss the transformative role of AI in revenue operations, focusing on data enrichment, strategic analysis, and the integration of AI tools to enhance efficiency and decision-making. Jordan shares insights on transitioning Candid from a direct-to-consumer to a B2B model, the importance of continuous learning, and the evolving role of RevOps in leveraging AI for business growth.
Takeaways
AI is a lever for RevOps leaders to drive strategy.
Transitioning from direct-to-consumer to B2B requires operational rigor.
Data enrichment and analysis are key to developing customer profiles.
AI tools can augment human processes, not replace them.
Continuous learning is crucial for adapting to AI advancements.
Voice-to-action tools enhance field reps' efficiency.
AI can improve decision-making confidence and reduce clerical work.
RevOps teams benefit from generalists who can adapt to AI.
AI tools should be tested at scale for real impact.
Leadership buy-in is essential for successful AI integration.
In this episode of AI Powered RevOps, Sandy Robinson interviews Prudhvi Raju, who shares his insights on the intersection of analytics and revenue strategy. Prudhvi discusses his journey in revenue operations, the role of AI in enhancing decision-making, and the importance of leveraging data for informed business strategies. He emphasizes the need for clean data, the integration of AI tools, and the evolution of CRM systems in the future of RevOps. The conversation also touches on the significance of involving sales teams in the development of AI initiatives and the necessity of building internal tools to streamline processes.
Takeaways
Prudhvi emphasizes the importance of clean data for effective AI implementation.
AI can significantly reduce the time needed for tasks like account research.
Involving sales teams in the development of AI tools is crucial for adoption.
RevOps is evolving towards a data-led process rather than an operational one.
Building internal tools can enhance efficiency and reduce reliance on external vendors.
AI should be viewed as a support system for RevOps professionals.
The future of CRM will likely involve more integrated and flexible systems.
Feedback from users is essential in shaping AI tools and initiatives.
RevOps leaders must adapt to the changing landscape of technology and data.
Collaboration across departments is key to successful RevOps strategies.
Sound bites
"The possibilities are infinite."
"AI will do it in a minute or two."
"AI is always going to be a tool."
Chapters
00:00 Introduction to RevOps and AI
02:49 Prudhvi's Journey in Revenue Operations
05:55 The Role of AI in RevOps
AI-First: Transforming RevOps with Amani Phipps
Season 1 · Episode 1
Sunday, December 7, 2025 • Duration 49:59
Summary
Guest: Amani Phipps, Director of Business Operations and Analytics at Bonusly
In this episode of AI-Powered RevOps, Sandy and Amani Phipps discuss the transformative role of AI in revenue operations. Amani shares his journey from finance to business operations, emphasizing the importance of an AI-first approach in modern organizations. They explore practical steps for integrating AI tools, the challenges faced during implementation, and the significance of data cleanliness and feedback mechanisms. Amani highlights the need for leadership buy-in and the evolving nature of RevOps in the age of AI, encouraging listeners to start small and embrace change.
Takeaways:
AI is a teammate that needs feedback and training.
Start small with AI applications in daily tasks.
Data cleanliness is crucial for effective AI use.
Leadership buy-in is essential for AI adoption.
AI can automate repetitive tasks and enhance efficiency.
Continuous improvement is key in AI implementation.
Feedback mechanisms help refine AI tools.
AI will transform the future of RevOps.
Embrace change and be open to new tools.
AI is here to stay and will evolve with the industry.
Transforming RevOps with AI: Amani Phipps' Insights
AI-Powered RevOps is where real talk meets real-world execution in an AI-powered world. Host Sandy Robinson sits down with operators, enablement leaders, GTM owners, and vendors to unpack what’s actually working (and what isn’t) when it comes to building an AI-powered revenue engine, without losing your mind in the process.
On this show, you’ll hear:
• How teams are really using AI in RevOps and enablement • Experiments, playbooks, and the messy lessons learned along the way • Alignment, change management, and leadership in the middle of constant change • Success stories, major flops, and unapologetic hot takes • Deep dives on tools and workflows from practitioners, vendors, and operators in the trenches • Every episode closes with 5 rapid-fire questions pulled from what everyone is asking in RevOps right now
No BS and no scripts. Just candid conversations designed to leave you with ideas to try tomorrow, solutions to nagging problems, insights on tools, and guidance on how to keep your revenue engine (and your sanity)running. Expect a few laughs, plenty of honesty, and seriously actionable ideas.
Sandy Robinson has spent over 20 years leading Revenue Operations and Enablement in SaaS and other industries, in small startups, growing scale-ups, and mature or even public companies. From building sales operations foundations and leading cross-functional GTM teams, to designing revenue engines built for scale and aligning marketing, sales, and customer success around the full customer journey. Her focus has always been on turning messy, real-world challenges into practical playbooks, empowering teams through training and change management, and challenging the status quo when it gets in the way of growth. A few years ago, she completed her Master’s degree in Education in Training and Development. Sandy wanted to do this podcast because she is in student mode, and she wanted to share her learnings with others. She has always had a passion for continuous learning, and now that focus is on AI in RevOps.
If you’re ready for clarity, a few laughs, and a steady stream of actionable ideas, hit follow on AI-Powered RevOps and queue up the first episode.
AI in Enterprise B2B Sales: RevOps, MEDDPICC, Forecasting, and the Future of AI with Roi Carmel
Season 1 · Episode 8
Monday, March 16, 2026 • Duration 46:50
Show Notes: In this episode of AI-Powered RevOps, Sandy Robinson sits down with Roi Carmel, CEO and co-founder of Spotlight.ai, to talk about the future of AI in enterprise B2B sales and what it means for RevOps leaders, sales teams, and go-to-market organizations.
Roi shares how his background in high-growth SaaS companies led him to build Spotlight.ai, a platform focused on helping enterprise revenue teams turn buyer interactions into decisions and action. Sandy and Roi break down one of the biggest challenges in today’s market: too many companies are chasing AI tools for sales and RevOps without first identifying the real business problem.
This conversation explores how to evaluate AI for RevOps, what it actually means to be AI-ready, and why automating a broken sales process can make the problem worse. Roi explains why teams should start with bottlenecks, align on business goals, and measure AI success against the exact operational metric they want to improve.
They also dive into MEDDPICC, forecast accuracy, deal qualification, sales productivity, and the balance between AI automation and human-led selling. Roi shares his framework: Listen, Understand, Decide, Act, and explains how enterprise sellers will increasingly shift from executors to orchestrators as AI takes over more administrative and analytical work.
This episode is packed with practical insight for RevOps professionals, CROs, sales leaders, revenue leaders, and anyone navigating the fast-changing world of AI in B2B sales.
In this episode:
How RevOps teams should evaluate AI tools
Why shiny-object syndrome creates bad AI decisions
What “AI-ready” really means
How AI can improve qualification, forecasting, and execution
Why human sellers still matter in enterprise sales
The future of AI agents in sales workflows
About Roi Carmel: Roi Carmel is the CEO and co-founder of , an autonomous enterprise sales platform helping revenue teams improve qualification, value selling, and sales execution with AI.
Navigating AI in Revenue Operations with Olga Traskova
Season 1 · Episode 7
Monday, March 2, 2026 • Duration 45:11
Summary
In this episode of AI Powered Rev Ops, Sandy Robinson interviews Olga Traskova, VP of Revenue Operations at BirdEye. They discuss the evolution of AI in revenue operations, focusing on practical strategies for implementing AI to enhance productivity and efficiency. Olga shares her journey in the field, the phases of AI adoption, and the importance of mutual action plans in sales processes. The conversation also touches on leadership expectations, budgeting for AI tools, and the future of AI in revenue operations.
Takeaways
AI can reshape how teams operate.
Data cleanliness is crucial for effective AI use.
Mutual action plans are essential for sales success.
AI adoption occurs in phases: personal productivity, workflow acceleration, and operating systems.
AI can help analyze deal performance and risks.
Leadership expects quick decision-making with AI.
AI will replace roles that do not adapt to its use.
The future of revenue operations will involve AI agents working alongside humans.
AI tools can enhance sales efficiency and forecasting accuracy.
Understanding the costs associated with AI tools is vital.
Olga's Sound Bites:
"Move beyond the AI hype."
"Garbage in, garbage out."
"AI will be replacing people."
Chapters
00:00 Introduction to AI in Revenue Operations
AI for RevOps: Practical Lessons from Zapier’s GTM Team w-Lindsay Rothlisberger
Season 1 · Episode 10
Monday, April 13, 2026 • Duration 47:04
Summary
In this episode of AI-Powered RevOps, Sandy talks with Lindsay Rothlisberger, who leads GTM Strategy Ops and AI at Zapier, about how RevOps teams can apply AI in practical ways across marketing, sales, CS, enablement, and analytics. They dig into CRM data quality, pipeline risk, coaching bots, renewal strategy, self-service reporting, and why the best AI use cases often start at customer transition points.
Key Takeaways
Start AI where customer transitions break down, especially handoffs between marketing, sales, onboarding, and customer success.
Treat AI workflows like products: launch, learn, improve the data behind them, and keep refining the output.
Strong AI use cases in RevOps include coaching bots, call prep, lead classification, renewal strategy, and self-service reporting.
Context is the real advantage in RevOps, and AI becomes far more useful when teams package business logic and definitions into the workflow.
Planning in AI-heavy environments has to stay flexible, with clear tradeoffs and a process for changing priorities quickly.
Chapters
00:05 Welcome and episode setup 01:29 Lindsay’s path from marketing ops to RevOps at Zapier 04:40 Fun fact: Bravo, Real Housewives, and work-life balance 06:04 How Zapier got started with AI internally 07:18 Early use cases: call prep, coaching bots, and chat analysis 09:11 Build vs. buy and embedding AI into workflows 10:27 RevOps team structure and AI use cases across functions 14:36 Using AI to improve customer transitions and renewals 20:10 Why context is RevOps’ biggest AI advantage 22:14 Cursor, Databricks MCP, and self-service analytics 27:15 Deterministic workflows vs. adaptive agents 30:07 Planning, operating models, and changing priorities fast 34:05 Data quality guardrails and avoiding “garbage in, garbage out” 36:06 Cross-functional AI work and enabling self-service 41:48 Coaching, enablement, and AI role play 44:03 Rapid fire: where RevOps should start with AI47:31 Lindsay’s advice: build something and learn by doing
Timestamps: 00:00 Intro 01:23 Roi’s background 04:35 Archery, discipline, and repetition 07:39 AI hype in RevOps 14:32 What AI-ready looks like 20:17 What teams miss in AI evaluation 30:22 The future of enterprise sales 38:09 Rapid-fire AI questions 41:41 Spotlight.ai overview 45:23 Final thoughts
Keywords: AI Powered RevOps, Roi Carmel, Spotlight.ai, AI in sales, AI in RevOps, enterprise B2B sales, RevOps, MEDDPICC, forecast accuracy, revenue operations, sales productivity, GTM strategy, AI agents, sales automation
AI, Revenue Operations, Olga Traskova, Mutual Action Plans, Sales Automation, AI Strategy, Go-To-Market, Data Cleanliness, AI Adoption, Sales Efficiency
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