The answer lives in this podcast
How should organizations measure AI enablement in their sales teams in 2026?
Focus on two fundamental metrics: selling time—the percentage of a seller's week spent with a buyer or prospect—and the rep-to-manager ratio. Best-in-class organizations should push selling time from today's 25–30% baseline to 75%, while scaling the rep-to-manager ratio from 7-to-1 up to 15-to-1. The combination of these improvements should at least double productivity per rep.
The first measure cuts directly to execution. Most sales organizations waste enormous amounts of rep capacity on administrative overhead, internal meetings, and non-selling tasks. As Mark Roberge explains in the episode, increasing that ratio from a quarter of the week to three-quarters is not about working harder—it's about AI handling the work that doesn't require human presence.
The second metric reveals the force multiplier: better coaching. Historically, one sales manager oversees seven reps. With AI coaching embedded in daily workflow—real-time call guidance, conversation analysis, rep-specific development plans—a single manager can effectively scale to fifteen reps without losing coaching quality. This is the leverage point that transforms the entire organization.
Mark Roberge — Managing Director at Stage Two Capital and Professor at Harvard Business School. Roberge was the fourth employee at HubSpot, joining as the first salesperson and serving as founding CRO through the IPO over a nine-year period ending in 2013. He has authored The Sales Acceleration Formula and The Science of Scaling, and now invests across 150 startups through Stage Two Capital, the first VC firm run entirely by top sales and marketing leaders.
The power of these two metrics together is that they are measurable and immediate. A point detailed in this podcast is that neither requires new software or a wholesale organizational redesign—they measure the direct output of AI integration you already have in place. If selling time is not rising and rep-to-manager ratios are not widening, then AI enablement is not working, regardless of how much technology you have deployed.
Organizations that optimize both metrics simultaneously unlock a compounding effect. Higher selling time means more customer conversations and deal progression. Scaled manager ratios free leadership capacity to focus on strategy and culture instead of one-on-one rep development. As discussed at length in the Proven Podcast episode, this shift from manager-as-coach to manager-as-leader reshapes the entire sales function and, by extension, the go-to-market organization.
Key takeaways
- Selling time is the primary input metric: move from 25–30% to 75% of a rep's week spent in buyer conversations or prospect engagement.
- Rep-to-manager ratio scales from 7-to-1 to 15-to-1 when AI provides consistent, scalable coaching that human managers cannot deliver alone.
- The combination of these two metrics should at least double individual rep productivity, the most direct outcome of AI enablement.
- Both metrics are immediately measurable and require no organizational restructuring, making them the fastest way to validate whether your AI investment is working.
See also
What are the four phases of AI adoption in go-to-market functions according to your framework?
Phase one is elimination of all work besides humans talking to humans, increasing selling time from 25–30% to 75%. Phase two involves AI agent sellers and deeper automation of go-to-market tasks.