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In this episode, Gainsight CEO Chuck Ganapathi and Bonfire Ventures managing director Brett Queener, two people who helped build the CRM and CS categories from the Siebel era through Salesforce and beyond, sit down to work through what agentic AI actually does to the business of software. The conversation covers the death of ARR as a reliable metric, the rise of what Chuck calls the agentic BPO, and what the CSM role looks like when the admin work is finally gone.
Listen on YouTube, Spotify and Apple Podcasts
Three Things We’re Taking Away:
A database is a lossy way to store what’s happening with a customer. A Vista board member said it to Chuck in a recent board meeting and it landed hard. Structured schema is the JPEG of customer knowledge. The narrative of a relationship, its full context and history, can’t survive being converted into fields. Agentic software works from the unstructured signal. That changes what software is.
Software vendors currently capture about 2% of the productivity value they create. Chuck’s math: if a $100K employee gets 20% more productive, that’s $20K of new value. The vendor captures $2K. The customer keeps $18K. Agentic software that does the job entirely flips that equation. The vendor doesn’t get 2%. They get a share of replacing a $100K salary.
The CSM who survives the agentic transition is a client partner, not a jack of all trades. Accenture calls them client partners. They have outcome conversations. They don’t log feature requests, chase internal teams, or fill out account plans. That’s the job the CSM role was always supposed to be and never quite got to because the admin work didn’t go anywhere. Now it can.
🎯 The [Un]Churned Take: Two People Who Built the Last Era Debate What Comes Next
Chuck Ganapathi, CEO of Gainsight, and Brett Queener, Managing Director of Bonfire Ventures and former Salesforce product and go-to-market leader, go back to the Siebel era. They were there when CRM was invented as a category. They were there when Salesforce proved cloud software could kill on-premise. And they’re both here now, watching the third big shift arrive.
The Schema Is Over
Brett’s recent blog post argued that fixed schema, the idea that valuable software is defined by its data model and how well customers fill it in, is the wrong frame for the agentic era. Chuck’s response wasn’t disagreement. It was a story. In 1999, as a new PM at Siebel, his UI mockups were built in Excel. One cell for the field name, the next for the value. That was the mental model: software as a collection of structured fields. A Vista board member recently gave him the cleanest possible reframe. “A database is a lossy way to store what is happening with the customer. It’s not lossless compression, it’s lossy compression. It’s like taking a high quality picture and making a grainy JPEG out of it.” The narrative of what’s actually happening with a customer, relationships, sentiment, history, context, can’t survive being compressed into rows and columns. Agentic software works from the unstructured signal.
The Economic Rent Problem
Brett has a simple framework for why agentic pricing is going to be structurally different. In the productivity software model, a vendor captures roughly 2% of the value they create. The customer keeps 18%. In the agentic model, the vendor isn’t making an existing employee more productive. They’re replacing work entirely. “What if every one of your CSMs could have an assistant that works 24/7, never goes to Glassdoor, knows everything about the function and your company, and does these four things for you? What would that person cost?” The answer changes what software is worth, what it can charge, and how customers will think about buying it.
The wrinkle is contract terms. ARR was built on annual upfront commitments because the alternative, month-to-month, destroyed cash flow. Salesforce raised $18 million total before going public. Agentic products do the job or they don’t. Customers won’t commit a year upfront to something they’re treating like an employee. Brett’s forthcoming blog works through what this means for how software companies finance themselves, hire, and model growth. He doesn’t have a clean answer. Neither does Chuck. But they’re both clear that pretending the current SaaS magic number still applies is a mistake.
What the CSM Role Actually Becomes
Chuck’s version of the agentic CS future is the most concrete thing in this conversation. Gainsight’s Staircase product now runs three agents that analyze historical customer expansion patterns from meeting transcripts, emails, and usage data, then applies those patterns to current accounts to identify expansion candidates and automatically updates the success plan. No human data entry. No guessing.
The admin work leaves. What’s left is what consulting firms already built a job title for: the client partner. Outcome conversations. Strategic relationships. Accountability to the ROI analysis that justified the deal in the first place. “The CSM wants to be the master of their craft. And they just can’t do it.” The agentic layer removes the reason they couldn’t.
Product Purity
Brett’s phrase for where this all lands: product purity. The gap between what software promises and what it delivers was so wide for so long that an entire profession, customer success, grew up to fill it. As that gap closes, as software actually does the job, the nature of CS changes. The conversation shifts from “are you using the product” to
Wrapping Up
Two people who helped build the last era of enterprise software are not worried about the next one. They’re arguing about the pricing model.
See you next week 🧠
Where to Find Chuck & Brett
Brett Queener
Blog (Tales from the Bonfire): https://www.bonfirevc.com/blog
Referenced in This Episode
Bonfire Ventures — Brett’s seed-stage venture capital firm, focused on B2B software. bonfirevc.com
Tales from the Bonfire — Brett’s blog where he publishes essays on enterprise software, go-to-market strategy, and AI. The “end of ARR” post discussed in this episode was forthcoming at time of recording. bonfirevc.com/blog
Staircase AI — Gainsight’s customer intelligence product, referenced by Chuck as an example of agentic CS in action: three agents detect expansion patterns from unstructured data and auto-update success plans. staircase.ai
Pendo — Product analytics platform referenced by Brett when discussing session replay and how agent-driven bug detection could soon replace manual feature request logging. pendo.io
Lovable — AI app builder Brett referenced in discussing schema-free product creation, where the tool determines the data model from a natural language description of what you want to build. lovable.dev
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