How Grandstone Scales BOV Production Without Scaling Headcount

Challenge

Grandstone Investment Sales, founded by Meir D. Perlmuter, is a fast-growing boutique brokerage firm. In their first year they did $70M in deal volume and this year are targeting $150M in deal volume with a lean team of around 10 brokers. “Our goal is to hit $450 million in three years,” Perlmuter explained. To get there, the team relies on a high-volume outbound strategy, which translates into a heavy pipeline of broker opinion of value (BOV) reports.

“We’re doing somewhere between 60 to 90 BOVs a month,” Perlmuter said. “We only have one analyst handling all of that. It just wasn’t feasible.” BOV turnaround time ballooned to 7–14 days, slowing down their ability to respond to clients. As a boutique firm, Grandstone’s competitive edge is speed—and that edge was slipping.

Solution

To maintain their pace without hiring a second analyst, Grandstone turned to Henry.ai. “We didn’t want to slow down the volume, so we just needed help,” Perlmuter said. “Henry really came to the rescue.” With Henry, the team was able to automate large portions of the BOV process, including demographic data pulls, mapping, formatting, and more.

“My analyst has to do far less cutting and pasting,” Perlmuter said. “Henry generates everything itself—formatted, with the right data in place. We were able to reduce the number of external tools we needed, too.” The platform helped avoid the need to hire another full-time analyst, saving the firm tens of thousands of dollars while tripling output capacity. “We were looking at $50,000 to $70,000 for another analyst. Instead, we used Henry and 3x’ed our output.”

Onboarding was smooth and collaborative. “We went through a few iterations,” Perlmuter explained. “At first, I wasn’t so happy with how the package looked. But Sammy and the team were super helpful—asking what we liked, what we didn’t, and tweaking it until it worked.” Ultimately, Henry became an essential tool for BOVs.

Results

With Henry.ai, Grandstone dramatically reduced BOV turnaround time, avoided additional headcount, and empowered a single analyst to manage the workload of three. “Henry is the automation we use to scale,” Perlmuter said. The platform not only made the firm more productive, but also more cost-efficient.

Beyond the product itself, Perlmuter emphasized the responsiveness of the Henry team. “The team’s great—super responsive. My analyst has the chat bar open with them constantly. They’re always there to help. Sammy’s jumped on stuff directly. It’s just been great.”

Conclusion

For a fast-moving boutique shop like Grandstone, speed and efficiency are everything. Henry.ai has become a core part of how the team scales BOV production—enabling growth without adding headcount, and freeing up internal resources to focus on what matters most: winning more deals. “We’re using technology to allow people to be 10x more productive,” Perlmuter said. “That’s the goal, and Henry gets us there.”

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