Allvue shortens sales cycles by 14% and boosts qualified close rates by 44% with the Gong Revenue AI OS

For Clayton Hicks, Manager of Sales Enablement, and Katie Spaulding, Sales Enablement Specialist II, the journey with the Gong Revenue AI Operating System (OS) began with a fundamental question: How do we know if our sellers are doing what we trained them to do?

As a Vista Equity Partners portfolio company, Allvue Systems operates with a high-octane methodology known as Vista Value Selling. It’s a disciplined, Challenger-style approach designed to uncover deep pain and quantify the cost of inaction.

However, scaling that discipline across a growing global revenue org is what Hicks describes as a "beast of a journey." Historically, feedback was subjective. A manager might listen to a call and offer a few pointers based on their own style, but there was no North Star for what a great Allvue discovery call looked like. They needed to move from using Gong for recording and validating that their methodology was being used, to leveraging it to create a measurable operating rhythm that turned every seller into a top producer.

The core of Allvue’s transformation was the creation of a comprehensive discovery rubric anchored in three key pillars. This standardization was the engine behind their 14% decrease in sales cycles. By ensuring that every deal started on solid ground, the team eliminated the drag of poorly qualified opportunities.

In discovery calls, Hicks’ team didn't just want reps to talk about value; his team wanted to see specific indicators of a healthy deal. Using AI Tracker, they can now easily look for:

1. Value proposition articulation: Are we clear on "Why Allvue"?
2. Discovery framework adherence: Are we following the sequence that leads to high-value deals?
3. Next step discipline: Is every call ending with a concrete, dated commitment?

By bundling the answers into what they called their Gong AI Score, Allvue created a transparent grade for every call, and began coaching based on those scores.

“In the second half of 2025 alone, our team saw a 15% lift in their call scores.” —Clayton Hicks, Manager of Sales Enablement

Reps began self-correcting because the expectations were no longer a mystery, as they were visible in each rep’s Gong Revenue AI OS dashboard every morning. This focus on discovery discipline directly fueled an 44% increase in qualified close rates, as reps became experts at identifying and advancing high-probability wins.

The most dramatic shift occurred in the team’s manager-led coaching loop. "We’ve turned manager coaching from a nice-to-have into a measurable part of our operating rhythm," says Hicks.

Previously, the hurdle for coaching was time. Managers didn't have time to listen to a full call just to find five minutes of coachable moments.

By using the AI Briefer and AI Scorecard features, Allvue removed the friction. Managers can now easily access a call summary in Gong, see exactly where a rep missed a “cost of inaction” cue, and leave a targeted comment. "Instead of having to watch a 45-minute call, our managers can pull up a summary in 20 seconds and get exactly what they need. Seeing them dive deep into the specific features to build better feedback loops is the most exciting part of this for me,” says Katie.

This efficiency has led to an explosion in activity:

"In Q4, our team went from a historical average of 23 scorecards filled out to a staggering 218.” —Clayton Hicks, Manager of Sales Enablement

Managers weren’t just completing more work, they were doing more effective work. They’re now coaching based on team and individual-level data, not just the vibe of a deal.

Allvue’s success offers a repeatable how-to. One of their most impactful discoveries came through a win/loss analysis done using AI Tracker. They found that in won deals, reps were discussing the cost of inaction 288% more than in lost deals.

Here are the actionable steps they took:

1. Track: Identify up to five specific behaviors that separate your winners from your losers and build an AI Tracker for them immediately.
2. Review: Train managers to use the AI Briefer to prep for pipeline reviews. Instead of asking "How's the deal going," have them dive into specifics, like, "The AI Briefer mentioned a legal blocker. How are we navigating that?"
3. Feedback: Like Allvue, you can expand your Gong Revenue AI OS access to product and engineering. Their product team now uses the AI Theme Spotter to stay on top of feature requests directly from their customers, so their roadmap is built on real-world pains.

"Our product team wanted to get their toes wet but weren't sure where to start. With AI Theme Spotter, they’re finally able to listen to real customer conversations in a feedback loop that simply didn’t exist before," says Hicks.

Beyond the discovery call, Allvue leveraged Gong Engage to streamline their sales activities. The team moved from rigid, manual sequences to a more autonomous, AI-driven flow.

"Our reps went from 'Oh, another tool I have to log into' to 'Wait, this is really cool! Show me how to use this.’” —Katie Spaulding, Sales Enablement Specialist II

Using Gong Engage, Allvue’s AEs can now:

• Automate nurture: They’re setting up low-touch flows for clients who said to check back in six months, ensuring that no deals fall through the cracks.
• Instant context: The team is using AI-generated email drafts and call summaries to pick up conversations exactly where they left off, even if the last call was months ago.
• Prioritize with speed: By stripping away the manual research, reps can now pivot from administrative prep to active selling in a fraction of the time.

By integrating these AI-driven workflows, Allvue uses Gong Engage to ensure that they never miss follow-ups and every interaction is fueled by data.

By moving away from subjective performance management and toward an AI-powered, data-driven methodology, Allvue has turned its sales process into a competitive advantage.

"We’re finally spending the right amount of time on the right deals, which is something we couldn’t say for sure a year ago. Now that we’ve built a playbook that covers our methodology, it’s no wonder the sales cycle sped up. We’re doing the right things and can finally track them." —Clayton Hicks, Manager of Sales Enablement

The results — a 14% decrease in sales cycles and a 44% increase in qualified close rates — are the direct result of a team that decided to "focus on the hammer instead of the wedge." They chose to invest in the discipline of discovery and the scale of coaching.

As Allvue continues to grow, Gong remains the "number one piece of AI technology" in their stack, providing the clarity and velocity needed to win in a complex market.

"It’s not lost on me that our head of AI is asking if he can get 30 people signed up for Gong tomorrow.” —Clayton Hicks, Manager of Sales Enablement