AI-Powered RevOps

The Season 2 Trailer of AI-Powered RevOps

Opens with Sandy Robinson setting the tone for a show built around practical AI, stronger operations, and real-world revenue execution. This intro makes the promise clear: no fluff, just useful playbooks for people working across data, deals, GTM, and RevOps.Sandy frames the podcast as a place to keep learning and to level up how ops teams work. The energy is upbeat and direct, with the focus on how AI can genuinely support revenue work instead of sounding impressive and doing little else.

Key Topics

• AI-powered RevOps as the central focus of the show
• Sandy Robinson’s role as host and guide
• Practical, no-fluff playbooks for revenue teams
• Using AI to support data, deals, and operations
• A learning-first approach to modern RevOps
• Setting expectations for actionable future episodes

In this intro, she introduces the show’s mission and voice, positioning it as a practical resource for operators who want clearer workflows and smarter use of AI.

AI-Powered RevOps is proudly sponsored by Attention, the AI platform that turns sales conversations into action. Learn more at https://www.attention.com

Sandy's LinkedIn: https://www.linkedin.com/in/sandyrobinson

A Sandy Elevates LLC Production
https://www.SandyElevates.com © 2026 Sandy Elevates LLC. All rights reserved.

Episode Summary

Sandy Robinson sits down with Corey Schwitz, CEO and founder of Skydog Ops, to unpack what it really takes to move AI from hype into operational execution across RevOps, CRM, and GTM. Corey shares where companies are actually starting, why proactive AI matters more than another dashboard, and how RevOps leaders can build AI-native systems that reduce manual work, surface better signals, and help teams take smarter action.

Key Takeaways

• AI-native CRM is not just automation — it is about making GTM systems proactive.
• RevOps teams should start with practical use cases like chat-to-CRM, data entry automation, call data updates, lead scoring, deal signals, and company intelligence.
• The biggest AI risk is not moving too fast — it is waiting too long to operationalize.
• CRM hygiene is still a leadership and culture issue, even when AI makes updates easier.
• RevOps must think beyond technical execution and operate more like business strategists.

Chapters
00:22 Meet Corey Schwitz and Skydog Ops
03:22 Corey’s Broadway background and path into tech
05:04 Why CRM data is still such a mess
07:33 What AI should update automatically vs. what needs approval
11:26 Why most GTM teams are still early with AI
14:22 Seven practical AI use cases for sales and customer success
16:25 What AI-native CRM and GTM systems really mean
18:35 Proactive AI vs. manual data entry
21:04 Avoiding “just another tab” in the GTM tech stack
23:02 Slack, Teams, Salesforce, and CRM workflow challenges
27:02 Common mistakes companies make with AI implementation
31:48 Where AI should take action first
34:34 Using signals, Clay, and company intelligence to support sellers
42:33 What is realistic for pipeline discipline and CRM hygiene
47:49 Rapid-fire AI questions for RevOps and GTM teams
51:41 Corey’s advice: think like a CEO
53:04 How to connect with Corey and Skydog

Links Mentioned
Skydog Ops: https://skydog.ai

Corey's Linkedin: https://www.linkedin.com/in/coreyschwitz/

Keywords
AI-powered RevOps, RevOps, AI-native CRM, GTM systems, Salesforce automation, HubSpot, CRM hygiene, pipeline discipline, deal signals, lead scoring, Clay, Claude, OpenAI, AI workflows, sales automation, customer success, go-to-market strategy, RevOps leadership, Skydog Ops, Corey Schwitz

Sandy: https://www.linkedin.com/in/sandyrobinson/
Website: www.SandyElevates.com
www.AI-PoweredRevOps.com
AI-Powered RevOps is a Sandy Elevates production.
© 2026 Sandy Elevates. All rights reserved.

Episode Summary

Sandy Robinson talks with Sahil Aggarwal, co-founder and CEO of Rattle and Von, about what AI can actually change for revenue teams. Sahil argues that RevOps, sales, and GTM leaders are still in the experimentation phase, and that the real productivity gains will come from AI intelligence layers that understand business context, connect across the GTM stack, and help teams make faster, better decisions.

Key Takeaways

• AI has not yet delivered true productivity gains in revenue teams the way it has in engineering.
• RevOps should focus less on disconnected agents and more on operationalizing intelligence across the GTM stack.
• CRM is still the system of record, but the intelligence layer may become the more valuable operating layer.
• Bad data should not delay AI adoption; AI can help improve GTM data when connected to calls, emails, CRM, and other systems.
• RevOps is best positioned to own GTM AI strategy because the function lives closest to process, data, and execution.

Chapters
00:32 Welcome to AI-Powered RevOps
01:24 Sahil’s Background and the Evolution from Rattle to Von
04:59 The Core Problem: Helping Sales Teams Sell
07:28 Why AI Became a Real Opportunity for GTM
09:46 Why AI Experimentation Has Not Yet Become Productivity
11:41 The Horseless Carriage Problem in AI
16:31 Build vs. Buy for RevOps AI
18:23 What Von Is Building for Revenue Teams
22:53 AI, Data Hygiene, and Fixing the Data Foundation
25:47 The Future of CRM and the GTM Tech Stack
30:08 How Teams Use AI to Operationalize Revenue Work
35:11 Why Internal AI Builds Often Fail
38:20 AI, Headcount, and Revenue Productivity
41:49 How AI Could Change the AE Role
44:51 Why Von Is Named After John von Neumann
45:35 Rapid Fire: RevOps, CRM, AI Strategy, and Salesforce Headless 360
49:21 Advice for RevOps and Enablement Leaders
50:42 How to Connect with Sahil

Links Mentioned:

Von: https://vonlabs.ai/
Rattle: https://www.gorattle.com/
Sahil Aggarwal on LinkedIn: https://www.linkedin.com/in/saggarwal2/
Gong: https://www.gong.io/
Fathom: https://fathom.video/
Salesforce: https://www.salesforce.com/
Slack: https://slack.com/

Keywords
AI-powered RevOps, RevOps AI, revenue operations, go-to-market AI, GTM stack, AI intelligence layer, sales productivity, CRM, Salesforce, Rattle, Von, sales automation, revenue intelligence, RevOps strategy, AI agents, sales operations, GTM data, sales enablement

Sandy: https://www.linkedin.com/in/sandyrobinson/
Website: www.SandyElevates.com
www.AI-PoweredRevOps.com

AI-Powered RevOps is a Sandy Elevates production. © 2026 Sandy Elevates. All rights reserved.

Summary:

In this episode of AI-Powered RevOps, Sandy Robinson sits down with Anne Pao, founder and CEO of Ignite, to talk about what RevOps leaders need to get right as AI and automation reshape go-to-market teams. From AI governance and process mapping to enablement, ROI, build-versus-buy decisions, and the future of RevOps, Anne shares practical advice for operators trying to move beyond shiny tools and toward real business impact.

Key Takeaways:

• AI will not fix broken processes. RevOps teams need strong documentation, process mapping, and clear ownership before layering in automation.
• Governance matters. Teams using AI without enterprise controls, security standards, or data boundaries create risk across customer data and GTM systems.
• Enablement is not optional. AI adoption requires reinforcement, workflow change, and clear communication about how people’s day-to-day work will change.
• ROI should go beyond hours saved. The real question is whether AI meaningfully improves funnel outcomes, conversion, revenue, or customer impact.
• RevOps leaders who rely only on system ownership may be at risk, but those with judgment, discernment, and cross-functional alignment skills will become even more valuable.

Chapters:

00:26 Welcome to AI-Powered RevOps
01:24 Anne Pao’s background and work with Ignite
02:20 Why fractional RevOps matters for growth-stage companies
03:51 Anne’s fun fact: food writing and restaurant reviews
05:22 How 20+ years in growth, analytics, and operations shaped Anne’s RevOps perspective
10:39 What feels different about today’s AI wave
11:23 AI sprawl, security, and governance risks
14:24 How companies should approach AI strategy and ownership
17:16 What RevOps needs to get right before AI and automation
19:08 Practical AI use cases: discovery playbooks and RFP workflows
22:37 Build versus buy decisions in an AI-powered GTM world
26:27 AI use cases creating practical value today
29:35 Common mistakes teams make when adopting AI
31:43 Why enablement is critical to AI adoption
36:56 Measuring ROI from AI in RevOps
41:23 Storypath.ai and AI-assisted revenue storytelling
48:01 How AI may reshape RevOps over the next few years
54:25 Rapid-fire questions on AI in RevOps
58:06 Anne’s final thoughts on humans, judgment, and the future of RevOps

Links Mentioned

Anne Pao LinkedIn: https://www.linkedin.com/in/annepao/
Ignite: https://www.igniteconsulting.co/
Storypath.ai: https://www.storypath.ai/

Keywords

revenue operations, AI in RevOps, go-to-market strategy, GTM operations, AI automation, AI governance, RevOps enablement, process mapping, sales operations, customer success operations, AI adoption, revenue architecture, build versus buy, AI ROI, enterprise AI, GTM enablement, sales funnel optimization, RevOps leadership

Sandy: https://www.linkedin.com/in/sandyrobinson/
Website: www.SandyElevates.com
www.AI-PoweredRevOps.com
AI-Powered RevOps is a Sandy Elevates production.
© 2026 Sandy Elevates. All rights reserved.

Episode Summary

In this episode of AI-Powered RevOps, Sandy Robinson sits down with Teri Long, VP of Global GTM and Partner Enablement at GoTo, to break down where AI is actually creating real impact inside revenue teams. From call intelligence and AI role play to manager coaching, partner enablement, and RevOps alignment, Teri shares how leading organizations move beyond shiny objects and use AI to improve execution, win rates, and revenue outcomes. If you're trying to scale enablement, drive adoption, and make AI useful—not just visible—this conversation is packed with practical takeaways.

Key Takeaways

• Start with the highest-friction point in seller or partner workflows—not with AI for AI’s sake
• Call intelligence, coaching insights, and AI role play are some of the fastest paths to measurable impact
• RevOps and Enablement must work together: RevOps owns the data foundation, Enablement drives behavior change
• Test, learn, and validate is the framework for successful AI adoption and continuous improvement
• Real AI ROI shows up in ramp time, win rates, coaching effectiveness, and seller productivity

Chapters

00:22 – Meet Teri Long: GTM Enablement, AI, and Revenue Execution
04:30 – How Teri Started Using AI in Enablement
08:15 – Where AI Creates Real Value vs. Shiny Objects
13:40 – Call Intelligence, Buyer Insights, and Coaching at Scale
20:05 – RevOps + Enablement: Why Alignment Matters
27:10 – Quick Wins: Where Revenue Teams Should Start with AI
33:18 – Driving AI Adoption and Building Internal Champions
40:12 – AI for Partner Enablement and Scaling Through Ecosystems
47:25 – The Future of Enablement Leaders in the Next 12–18 Months
54:10 – Rapid Fire: AI Questions Every RevOps Leader Is Asking
01:02:30 – Final Advice: Start with the Problem, Not the Tool

Links Mentioned

Teri Long LinkedIn: https://www.linkedin.com/in/terilong/
GoTo: https://www.goto.com
ChatGPT: https://chat.openai.com
Mindtickle: https://www.mindtickle.com
Forrester: https://www.forrester.com

Keywords

AI in revenue enablement, AI-powered RevOps, revenue operations, GTM enablement, sales enablement, AI role play, call intelligence, sales coaching, RevOps strategy, partner enablement, manager coaching, sales productivity, AI adoption, revenue execution, GTM teams

Bottom Section

Sandy: https://www.linkedin.com/in/sandyrobinson/
Website: www.SandyElevates.com
www.AI-PoweredRevOps.com

AI-Powered RevOps is a Sandy Elevates production.
© 2026 Sandy Elevates. All rights reserved.

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 AI
47:31 Lindsay’s advice: build something and learn by doing

Links

Zapier: https://zapier.com
Gong: https://www.gong.io
Cursor: https://www.cursor.com
Databricks: https://www.databricks.com
ChatGPT: https://chatgpt.com
Slack: https://slack.com
Salesforce: https://www.salesforce.com
Clay: https://www.clay.com
Seismic: https://seismic.com

Keywords

RevOps AI, GTM strategy, CRM data quality, pipeline risk, AI agents, workflows, adaptive agents, coaching bots, MCP, sales enablement, GTM automation

Sandy: https://www.linkedin.com/in/sandyrobinson/
www.SandyElevates.com
www.AI-PoweredRevOps.com
AI-Powered RevOps is a Sandy Elevates production.
© 2025 Sandy Elevates. All rights reserved.

Show Notes:

In this episode of AI-Powered RevOps, Sandy Robinson sits down with Hassan Irshad, Head of RevOps at Unify and founder of Revfinity, to talk about how RevOps teams can actually use Claude in the real world.

This conversation goes beyond AI hype and into practical application: win-loss analysis, closed-lost review, meeting prep, forecasting, pipeline inspection, and using AI to free up time for more strategic work. Sandy and Hassan also dig into a critical truth for RevOps teams: AI only works as well as the data, process, and context underneath it.

If you’re a RevOps leader, GTM operator, sales ops pro, Salesforce admin, or GTM engineer trying to figure out where AI fits, this episode is packed with actionable ideas you can use right now.

Chapters:

00:28 – Intro to Hassan Irshad

01:16 – Hassan’s RevOps background

02:49 – Fun fact: DJing house music

04:06 – What pulled Hassan into AI

06:25 – Why Claude clicked for RevOps

09:13 – Real use cases: win-loss and closed-lost analysis

11:46 – Conversational intelligence, Attention, and MCP

13:41 – Why context and guardrails matter

17:04 – “AI layered on trash is just beautiful looking trash”

20:02 – What AI-powered RevOps actually means

22:41 – Daily workflow automation and prioritization

23:47 – Meeting prep agents and proving ROI

28:45 – Where companies overcomplicate AI adoption

30:51 – Using Claude as a thought partner

32:18 – Using Claude for board-level presentations

34:12 – Biggest mistakes in operationalizing AI

37:40 – How AI will change the RevOps role

42:06 – Advice for teams getting started

43:25 – Rapid fire: where to start, ROI, and replacement fears

45:24 – Final takeaway: start small and iterate

What you’ll hear in this episode:

- Why RevOps is uniquely positioned to lead AI across GTM

- How Hassan is using Claude for practical RevOps workflows

- Why context from CRM, Slack, and conversational intelligence matters

- How to measure AI ROI in time saved and dollars created

- Why strong foundations still matter more than ever

- What the RevOps role may look like over the next 12–24 months

About the guest:

Hassan Irshad is Head of RevOps at Unify and founder of Revfinity. He has spent nearly a decade building revenue operations across high-growth companies, with prior leadership roles including FundraiseUp, Zipco, and ADP.

Links & Resources

Hassan on LinkedIn: https://www.linkedin.com/in/hassan-irshad-5b0a6840/

Hassan's SoundCloud: https://on.soundcloud.com/29zjVRRdgoDHM8T2zf

Keywords: RevOps, Revenue Operations, AI in RevOps, Claude, Anthropic, Salesforce, GTM strategy, GTM engineering, sales operations, conversational intelligence, forecasting, pipeline inspection, AI adoption, revenue leadership, MarketingOps, Marketing Operations, AI in Marketing, AI-Driven, AI-Powered, GTMOps, SalesOps, Revenue Operations, AI-Notetaker, ChatGPT

Sandy: https://www.linkedin.com/in/sandyrobinson/

Website: www.SandyElevates.com
www.AI-PoweredRevOps.com

AI-Powered RevOps is a Sandy Elevates production.
© 2025 Sandy Elevates. All rights reserved.

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 Spotlight.ai, an autonomous enterprise sales platform helping revenue teams improve qualification, value selling, and sales execution with AI.

Roi: https://www.linkedin.com/in/roicarmel/

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

https://www.linkedin.com/in/sandyrobinson/
Website: www.SandyElevates.com
www.AI-PoweredRevOps.com

AI-Powered RevOps is a Sandy Elevates production.
© 2025 Sandy Elevates. All rights reserved.

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

01:41 Olga Traskova's Journey in Revenue Operations

04:28 The Evolution of AI in Revenue Operations

07:36 Phases of AI Adoption in RevOps

10:33 Implementing Mutual Action Plans with AI

13:49 AI's Role in Sales Conversations

16:38 Facilitating Mutual Action Plans

19:40 The Future of AI in Revenue Operations

22:35 AI's Impact on Daily Operations

25:28 Budgeting and Headcount in the Age of AI

28:36 Leadership Expectations with AI

31:47 Rapid Fire Questions on AI in RevOps

34:28 Conclusion and Future Insights

45:03 NEWCHAPTER

Olga's Linkedin: https://www.linkedin.com/in/olgatraskova/

Keywords

AI, Revenue Operations, Olga Traskova, Mutual Action Plans, Sales Automation, AI Strategy, Go-To-Market, Data Cleanliness, AI Adoption, Sales Efficiency

Sandy's Linkedin: https://www.linkedin.com/in/sandyrobinson/

Website: www.SandyElevates.com
www.AI-PoweredRevOps.com

AI-Powered RevOps is a Sandy Elevates production.
© 2025 Sandy Elevates. All rights reserved.

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.

• Mallory Lee, VP of Revenue Operations at Zipline: Connect on LinkedIn

Tools & Resources Mentioned:

• Zipline: getzipline.com (Retail communication and task management)
• Clay: clay.com (Target account research and enrichment)
• Fathom: fathom.video (AI call recording and CRM automation)
• ZoomInfo: zoominfo.com (B2B data and intent)
• Salesforce & HubSpot: CRM and Marketing Automation
• Gong & Clary: Sales intelligence and forecasting

[00:32] Introduction: Meet Mallory Lee, VP of RevOps at Zipline.

[03:21] The Unification Mission: Stitching revenue departments together.

[04:26] Personal Fun Fact: Building a ChatGPT Health & Fitness Agent.

[06:04] Early Adoption: The Nylas "Twice a Day" AI usage challenge.

[09:28] Standardizing AI: Getting sales teams on a uniform process.

[12:41] The Clay Game-Changer: Automating weeks of manual account research.

[18:02] Tech Stack Governance: Consolidation vs. Duplication.

[22:05] The CRM Utopia: Automated opportunity updates via Fathom.

[26:56] The GTM Engineer: Why AI agents need "managers," not just users.

[32:49] AI Literacy: Raising children and spotting "fake" content.

[38:33] Rapid Fire: ROI, Data Readiness, and why AI won't replace RevOps.

Keywords: Revenue Operations, GTM Strategy, AI Agents, Sales Automation, Tech Stack Consolidation, CRM Governance, Salesforce, HubSpot, GTM Engineering, B2B Marketing Ops, RevOps, SalesOps, Automation, B2BGrowth, SalesTech, DataScience, AIPoweredRevOps, AI Driven

https://www.linkedin.com/in/sandyrobinson/

Website: www.SandyElevates.com
www.AI-PoweredRevOps.com

AI-Powered RevOps is a Sandy Elevates production.
© 2025 Sandy Elevates. All rights reserved.