The Chief Customer Officer Podcast

No guest this week — just Jay and Jeff getting into the weeds on what they're actually building with AI right now. From Block's layoffs (and why AI is mostly "air cover" for over-hiring) to MCPs, deal staging from call transcripts, and creating hundreds of renewal records in a single afternoon — this one is all about practitioners doing the work, not just talking about it.

KEY TAKEAWAYS

• AI layoffs are mostly "air cover": The Block cuts are less about AI replacing workers and more about correcting COVID-era over-hiring. Companies are using AI as PR cover for reductions that should have happened years ago.
• MCPs are the new API layer for CS teams: MCP servers let leaders query and update tools like HubSpot and PlanHat in plain English — no developer required. Jeff rebuilt his entire field mapping strategy between two platforms in a single Sunday afternoon using Claude Cowork.
• AI deal staging removes subjectivity from the pipeline: By running Fathom call transcripts through an AI model with defined stage criteria, Jeff's team gets consistent deal staging — notes, next action, and stage movement all updated automatically. CSMs validate rather than enter.
• You can build a renewal pipeline from scratch in an afternoon: Jeff used Claude Cowork and the HubSpot MCP to auto-generate hundreds of renewal records with ARR, products, and close dates — work that would have taken weeks manually.
• SaaS incumbents need a self-disruption pricing strategy: If AI is driving down the cost to build software, someone will undercut you on price. The winners will do it to themselves first — like Adobe's "swallowing the fish" move to SaaS. Your gross margin is someone else's opportunity.
• Customer journey ≠ service blueprint: The service blueprint is how you deliver your service. The customer journey is the customer's path to value — change management, adoption, transformation. Keeping them separate is the future of CS platform design.

CHAPTERS

• 00:01 - Welcome and personal updates
• 02:32 - Block's 4,000 layoffs: AI as cause or air cover?
• 07:32 - Small nimble teams and the Jack Dorsey thesis
• 09:00 - MCPs explained: querying HubSpot and PlanHat in plain English
• 15:27 - Token costs and natural language as the new interface
• 17:08 - Jay's SaaS self-disruption pricing thesis
• 22:39 - M&A in the AI era and the Palo Alto Networks acquisition playbook
• 27:12 - Jeff's AI build: deal staging from call transcripts via Fathom and PlanHat
• 32:37 - Creating hundreds of renewal records in one afternoon with Claude Cowork
• 39:41 - Customer journey vs. service blueprint — the clearest definition yet
• 42:10 - Wrap-up and preview of an upcoming guest

About the Show:

Chief Customer Officer Podcast is a show about real strategies for customer-led growth in the AI era—from leaders actually executing, not just talking about it.

Your Hosts:

• Jay Nathan – CEO of Balboa Solutions and Co-Founder of ChiefCustomerOfficer.io
• Jeff Breunsbach – Head of Customer Success at Junction and Co-Founder of ChiefCustomerOfficer.io

Jon Olson, Chief Legal Officer at Blackbaud, joins Jay and Jeff to flip the script on what legal teams are actually for.

Jon argues that the law department's job isn't to say no — it's to pave the road so the business can move fast.

Then the conversation turns to AI: how Blackbaud built an AI council to accelerate adoption, why law is uniquely suited for disruption by LLMs, and what it looks like when AI stops being a cost-saver and starts driving top-line revenue.

KEY TAKEAWAYS

• Law is a revenue function: Jon reframes what legal teams are for — not compliance gatekeepers, but deal enablers whose job is to help the business move forward. If there's no revenue, every other legal issue becomes irrelevant.
• The "ultimate backstage pass": Legal touches 80–90% of company accomplishments every quarter — commercial deals, international expansion, M&A, partnerships. That cross-functional visibility makes CLOs uniquely positioned to see the whole business.
• Say "yes, but" not "no": Jon coaches his team to never just say no. Instead, surface the risks, propose a path forward, and find the creative structure that gets the deal done. The Uber example: every legal concern was real, but the right answer wasn't "stick with taxis."
• The Minto Pyramid in practice: Jeff shares a communication framework — lead with the conclusion (what the customer wants), then support it. Jon applies the same inverted pyramid when coaching law students: state your position first, then build the argument underneath. Both are fighting the instinct to bury the lead.
• Blackbaud's AI council as a speed accelerator: When ChatGPT arrived, Blackbaud didn't lock AI down — they built a structured intake process. The result: use cases flow in faster, cross-functional ideas get shared, and the company moves more rapidly because guardrails are clear.
• AI in law today vs. tomorrow: Today, AI can redline a 100-page contract against a standard playbook in 2–3 minutes instead of hours. Tomorrow, it will analyze thousands of historical contracts, surface negotiation patterns, and flag when a jurisdiction is no longer favorable — moving from paralegal to institutional memory to expert system.
• AI's real P&L opportunity is top-line, not just cost savings: Most companies are capturing efficiency gains. The bigger prize is revenue growth — using AI to find underpriced customers, tailor offerings, enable dynamic pricing, and unlock new value from existing contract data.
• Jevons Paradox and AI: New technology creates more demand, not less. The calculator didn't reduce accountants — there are more now than ever. Jon believes AI will expand productivity, create new categories of work, and ultimately generate more jobs, even as individual tasks get automated.

About the Show:

Chief Customer Officer Podcast is a show about real strategies for customer-led growth in the AI era—from leaders actually executing, not just talking about it.

Your Hosts:

• Jay Nathan – CEO of Balboa Solutions and Co-Founder of ChiefCustomerOfficer.io
• Jeff Breunsbach – Head of Customer Success at Junction and Co-Founder of ChiefCustomerOfficer.io

Jay and Jeff are back — and this week it's just the two of them. No guest, no slides.

Just a real conversation about what they've each been building with Claude Code and Claude Cowork over the past few weeks, and what it's revealing about the future of software, teams, and CS.

Plus a take on Jason Lemkin's SaaS doom post — and why they're not totally buying the narrative.

KEY TAKEAWAYS

• Get Hands-On or You Won't Get It: If you're in a leadership role and not personally using AI tools like Claude Code or Cursor, you're not fully grasping what's happening right now. Pay the $150 for a month. Just do it.
• Enabling Your Team Is a Different Problem: Discovering an AI tool, getting excited about it, then "schlepping it over the fence" to your team isn't enabling them — it's abdicating. Change management still applies. Help them get on the curve.
• Established SaaS Companies Aren't Dead: Brand trust, enterprise security certifications, and multi-year contracts with durable cash flow give companies like Salesforce and Workday real staying power. The question is whether they'll actually act on it.
• Point Solutions Are Most at Risk: CFOs will start asking whether they need a $40K screen recording tool when it can be vibe-coded in an afternoon. Systems of record with billing, forecasting, and compliance dependencies are much harder to rip out.
• The Juice Is Now Worth the Squeeze: AI lets teams do things they always wanted to do but couldn't justify. Jay built an interactive RACI builder and a conversational applicant tracking system — on a weekend, without writing a line of code.
• It's a Context Problem: The real moat isn't the AI model — it's who can pull together all the Slack threads, call transcripts, emails, and product usage data into one accessible place. That's where the advantage lives.
• Skills Democratize Expertise Across the Team: When any CSM can run the product marketing skill and generate a feature guide on their own, you've removed a bottleneck — not a person. Speed compounds when the whole team can move.
• Token Costs Need a Line Item in Your Budget: Some engineering teams are already capping AI spend at $100K per engineer per year.

CHAPTERS

• 00:00 - Intro and technical issues
• 00:09 - Getting hands-on with AI: why leadership can't just delegate it
• 02:48 - The SaaS market landscape: Jason Lemkin's take
• 08:36 - Why established SaaS companies still have real advantages
• 12:09 - Point solutions at risk; systems of record are defensible
• 16:17 - Jeff's product marketing skill in Claude Cowork
• 20:29 - Democratizing documentation: any CSM can now create the guide
• 22:48 - Feeding source code as context; building a chatbot on your own codebase
• 25:28 - QPR, playbook, and onboarding skill ideas
• 27:19 - Managing token costs and what it means for team budgets
• 28:38 - Jay's interactive RACI builder built with Claude Code
• 34:20 - Balboa GPT: client-contextual AI with shared conversation history

About the Show: Chief Customer Officer Podcast is a show about real strategies for customer-led growth in the AI era—from leaders actually executing, not just talking about it.

Your Hosts:

• Jay Nathan – CEO of Balboa Solutions and Co-Founder of ChiefCustomerOfficer.io
• Jeff Breunsbach – Head of Customer Success at Junction and Co-Founder of ChiefCustomerOfficer.io

What does world-class digital customer experience actually look like?

In this episode, Justin Chappell, Head of Digital Strategy at OneTrust, breaks down the evolution of customer success from reactive firefighting to predictive, AI-powered engagement. Whether you're building your first digital CS motion or looking to integrate AI agents into your customer journey, this conversation offers actionable insights.

KEY TAKEAWAYS

• The CS Evolution Framework: Why moving from reactive → proactive → predictive requires fundamentally different thinking (and why proactive is closer to reactive than you might think)
• The 3 Pillars of World-Class Digital CX: Personalized, Predictive, and Digital-First—and how to operationalize each
• Dirty Data Isn't a Blocker: How predictive models can actually help you identify which data matters while learning from what's usable
• The Power of Simply Asking: Why the best renewal signal is giving customers three options—Yes, No, or Undecided—and how to act on each
• Onboarding That Works: The pilot process that cut first-time-to-value from 44 days to 8 days (and the customer feedback that made it possible)
• The Future CS Team Structure: New roles like AI Architect, Knowledge & AI Readiness Specialist, and Business Value Architect
• Monetizing Customer Success: How success packages create recurring revenue while delivering differentiated experiences

ABOUT OUR GUEST

Justin Chappell is the Head of Digital Strategy at OneTrust, where he oversees digital customer experience for 93% of the company's customer base. He's known for keeping things simple and saying what others are thinking.

Connect with Justin on LinkedIn

CHAPTERS

• 01:17 - The Evolution of Customer Success: Reactive to Proactive to Predictive
• 04:11 - What "Predictive" Really Means (And Why It's Different from Proactive)
• 08:44 - Dirty Data Isn't a Blocker: How Predictive Models Actually Work
• 12:09 - The Truth About NPS Response Rates and Vanity Metrics
• 20:49 - Starting from Zero: Implementing AI at OneTrust
• 23:30 - The 3 Pillars of World-Class Digital Customer Experience
• 31:10 - Lessons Learned: Roles, Timing, and Relevance
• 35:39 - Building the Digital Tech Stack: CRM, CSP, and Community
• 42:15 - Customer-Facing AI Agents: The Agentic CSM
• 46:10 - The Future CS Team: AI Architect, BVA & New Roles
• 53:38 - Managing AI Agents Like You'd Manage Your Best CSM
• 59:24 - How AI Changes the CSM Role (Hint: They Can Handle More)

About the Show:

Chief Customer Officer Podcast is a show about real strategies for customer-led growth in the AI era—from leaders actually executing, not just talking about it.

Your Hosts:

• Jay Nathan – CEO of Balboa Solutions and Co-Founder of ChiefCustomerOfficer.io
• Jeff Breunsbach – Head of Customer Success at Junction and Co-Founder of ChiefCustomerOfficer.io

In this episode, Jeff and Jay discuss the evolving landscape of customer success, the integration of AI tools, and the importance of gross revenue retention. They explore the metrics that define customer success roles, the challenges faced by early-stage companies, and the need for clear compensation structures.

The conversation highlights the significance of creating effective customer success plans and the necessity of aligning customer success efforts with overall business goals.

Takeaways

AI tools are transforming how we approach customer success. Customer success metrics are often poorly defined across organizations. Gross revenue retention is becoming a critical focus for investors. The structure of customer success teams can impact their effectiveness. Compensation for customer success roles needs to reflect their contributions to revenue. Early-stage companies must prioritize customer success to drive growth. Separation of roles within customer success can lead to better outcomes. Customer success should be a company-wide initiative, not just a team effort. Creating autonomy for customer success teams can enhance performance. Defining clear success plans is essential for customer retention.

Chapters

00:00 Website Redesign and AI Integration

02:50 The Evolution of AI Tools

05:28 Customer Success Metrics and Reporting

08:18 The Role of Customer Success in Revenue Generation

11:09 Compensation Structures in Customer Success

14:06 Strategic Decisions in Customer Success

16:51 Navigating Growth in Early-Stage Companies

26:40 Sales Strategy and Market Share Growth

28:21 Customer Success and Implementation Challenges

30:06 Specialization in Customer Success Roles

32:14 Creating Autonomy and Predictability in Sales

34:51 Understanding Private Equity and Its Impact

37:37 The Importance of Gross Revenue Retention

40:16 The Role of Customer Success in Retention

43:07 Innovative Approaches to Customer Success Plans

About the Show:

Chief Customer Officer Podcast is a show about real strategies for customer-led growth in the AI era—from leaders actually executing, not just talking about it.

Your Hosts:

• Jay Nathan – CEO of Balboa Solutions and Co-Founder of ChiefCustomerOfficer.io
• Jeff Breunsbach – Head of Customer Success at Junction and Co-Founder of ChiefCustomerOfficer.io

In this episode of The Chief Customer Officer Podcast, Jeff Breunsbach and Jay Nathan delve into the evolving role of AI in branding and customer experience. Jay shares his recent experiences using AI tools like Claude and ChatGPT to refine branding strategies for his companies, Balboa and Greenshoot Innovation. They discuss the importance of context in enterprise AI applications, emphasizing that the effectiveness of AI agents hinges on their understanding of user preferences and business nuances.

The conversation transitions into a broader discussion about the future of enterprise software, highlighting the need for reliable systems that can integrate AI capabilities while maintaining deterministic workflows.  

The hosts also explore the implications of AI on job security and enterprise software, countering the prevailing narrative of doom and gloom. They argue that rather than replacing jobs, AI can enhance productivity by automating mundane tasks, allowing teams to focus on customer interactions. The episode wraps up with recommendations for AI-related resources and discussions on the potential for AI to personalize customer experiences, ultimately leading to more tailored and effective service delivery.    

Chapters  

00:00 Introduction and Weekend AI Experiments

02:37 The Importance of Context in AI

04:51 AI's Impact on Enterprise Software

08:57 Balancing Deterministic Workflows with AI

11:15 Personalization and Customer Experience

16:38 AI in Developer Tools and Integration

21:32 Recommended Resources and Closing Thoughts

About the Show:

Chief Customer Officer Podcast is a show about real strategies for customer-led growth in the AI era—from leaders actually executing, not just talking about it.

Your Hosts:

• Jay Nathan – CEO of Balboa Solutions and Co-Founder of ChiefCustomerOfficer.io
• Jeff Breunsbach – Head of Customer Success at Junction and Co-Founder of ChiefCustomerOfficer.io

The death of the coverage model...

In this episode of the Chief Customer Officer Podcast, Jay Nathan and Jeff Breunsbach peel back the layers on the practical application of AI in Customer Success. They start with a reality check: before you can build sophisticated AI agents, you often have to do the manual "grunt work" first — like physically reviewing contracts to clean up renewal data.

The conversation shifts to a critical debate on organizational structure, specifically the move away from the traditional "Coverage Model" (assigning accounts based on ARR) toward a "Predictive Model" that relies on real-time data signals rather than arbitrary check-ins.

Finally, Jay and Jeff geek out on the concept of "Vibe Coding" — using AI to build internal tools and websites without writing a line of code — and discuss why leaders need to get their hands dirty with these tools to truly understand them.

Chapters

00:00 Introduction & Dropping the ".io"

01:07 The Reality of Renewals: Manual Work Before AI 04:49 Why You Should Hire Ops Before Your Next CSM 09:49 The Death of the Coverage Model

13:49 Erroneous Signals vs. Predictive Data

17:44 The Evangelism Role & Fixing QBRs

25:36 The "Stay Conversation": 3 Questions to Retain Your Team

27:42 "Vibe Coding" & Building Software with AI

33:25 How Jeff Built the New Website (Without Code)

42:34 Preview: Sierra AI & Next Week

About the Show:

Chief Customer Officer Podcast is a show about real strategies for customer-led growth in the AI era—from leaders actually executing, not just talking about it.

Your Hosts:

• Jay Nathan – CEO of Balboa Solutions and Co-Founder of ChiefCustomerOfficer.io
• Jeff Breunsbach – Head of Customer Success at Junction and Co-Founder of ChiefCustomerOfficer.io

In this episode of the Chief Customer Officer Podcast, Jay Nathan and Jeff Breunsbach discuss the evolving landscape of customer success, particularly focusing on the impact of AI. They explore the importance of building a robust renewal function, identifying key information for renewals, and the necessity of mapping out processes.

The conversation delves into the development of granular AI agents to enhance customer interactions and the balance between workflow and AI capabilities. They also emphasize the significance of understanding customer business contexts and choosing the right tools for effective AI implementation.

The episode concludes with thoughts on standardizing AI use across teams and the future directions of AI in customer success.

Chapters

00:00 Introduction to the Chief Customer Officer Podcast 02:58 The Role of AI in Customer Success

05:58 Building a Renewal Function with AI

08:49 Identifying Key Information for Renewals

12:08 Mapping Out the Renewal Process

15:09 Creating Operational Agents for Efficiency

18:10 The Future of AI in Customer Engagement

22:09 Optimizing Workflow with AI Agents

24:18 Personalization in Customer Interactions

26:11 The Importance of Real-Time Data

28:00 Exploring Tools for AI Integration

30:04 Categories of Agentic Tools

35:50 Empowering Business Users with Agent Development 39:04 Real-World Applications of AI in Business

About the Show:

Chief Customer Officer Podcast is a show about real strategies for customer-led growth in the AI era—from leaders actually executing, not just talking about it.

Your Hosts:

• Jay Nathan – CEO of Balboa Solutions and Co-Founder of ChiefCustomerOfficer.io
• Jeff Breunsbach – Head of Customer Success at Junction and Co-Founder of ChiefCustomerOfficer.io

In this conversation, Jay Nathan and Nikki Bishop discuss the critical role of customer success in the life sciences industry, particularly in the context of delivering life-saving therapies. Nikki explains how Emerson's technology and customer success strategies are designed to enhance the efficiency of pharmaceutical manufacturing.

They delve into the complexities of regulatory compliance, the importance of industry expertise in customer success roles, and the evolving definition of customer success at Emerson, emphasizing the need for measurable outcomes and effective communication with customers.

Nikki shares insights on the challenges of scaling customer success, balancing legacy with innovation, and the importance of aligning with future strategies.