Case Study

15% Fewer Slipped Deals, 10% Higher Renewals: UiPath’s Revenue AI Playbook

Company Size: Enterprise
Products Used
10-15% reduction in slipped deals through early AI risk detection
5-10% improvement in renewal conversion rates
Enhanced cross-sell/upsell identification across product lines
Proactive risk identification 1-2 quarters ahead
30-60 minutes saved weekly per manager on manual CRM updates

In the final weeks of the quarter, a massive deal that had been "committed" for months was showing all the right signals on paper. Ben Fiechtner, President, Americas for UiPath, was hearing the usual optimistic updates from his team. But something was off.

Clari's AI was flashing warning signals. Despite the positive field reports, the machine learning algorithms were detecting patterns that human intuition had missed. The conversation intelligence was picking up subtle shifts in declining stakeholder engagement, and the opportunity score was dropping  even as the AE remained confident.

Ultimately, the UiPath team trusted Clari’s AI and mobilized quickly to align executives and frontline teams to move the needle and re-engage the customer. As a result, the deal closed three weeks before quarter-end, avoiding what could have been a significant miss.

“We've reduced the amount of slipped deals by about 10 to 15% just by identifying it earlier in the quarter rather than waiting until the last three weeks and trying to jam things through.”

Ben Fiechtner
President, Americas for UiPath

This wasn't just another forecasting tool catching a problem. It was the moment that crystallized how UiPath had transformed from reactive revenue management to predictive precision. As Ben tells it, Clari’s conversation intelligence with the AI scores forced his team to say the deal probably wasn’t good. “The machine learning was telling me something’s off,” he says.

The Challenge

Managing complexity across the revenue lifecycle

UiPath is a publicly traded enterprise automation leader (NYSE: PATH) with billions in annual revenue, serving thousands of customers — including many Fortune 500 companies — across industries worldwide. Known for pioneering robotic process automation and AI-powered enterprise software, UiPath helps organizations automate mission-critical workflows at massive scale. With operations spanning new sales, renewals, and multiple product lines, its revenue orchestration is as complex as the automation ecosystems it builds, making accuracy, foresight, and speed in decision-making essential for sustained growth.

Forecasting relied heavily on Salesforce and spreadsheets, with teams piecing together disparate data from multiple sources. This manual process created several problems:

  • Siloed visibility between pre-sales, sales, and post-sales teams
  • Delayed risk identification, with issues often surfacing only in the last weeks of a quarter
  • Missed opportunities for renewals, upsells, and cross-sells due to incomplete data
  • Time-consuming manual updates, consuming valuable leadership hours each week

Ben and his team quickly recognized that the company needed more than incremental improvements — it required a unified, real-time view of the entire revenue lifecycle.

The Solution

Unifying revenue intelligence

With Clari, UiPath was able to bring forecasting, conversation intelligence, and product telemetry together in a single platform. This integration delivered end-to-end visibility by connecting UiPath’s data from the entire customer journey — prospecting activities, in-funnel opportunities, and post-sales metrics like churn — into one unified view. Ben emphasizes that leadership can now “see around corners,” and identify risks or opportunities several quarters in advance.

“It’s been a tremendous tool in just helping us see around corners and make sure I truly understand where the holes are in the business so we can go proactively fix that.”

Ben Fiechtner
President, Americas for UiPath

Ben points out that AI-powered risk detection has further strengthened decision-making. Clari’s machine learning algorithms continuously assess deal health, and surface potential issues early so the team can take targeted, proactive action instead of reacting to last-minute surprises.

And by linking revenue forecasting with product usage data, UiPath has also gained deep product intelligence. This visibility into adoption patterns and expansion potential has enabled sharper territory planning, more focused enablement efforts, and faster scaling of successful product launches.

Driving action across the enterprise

Clari’s impact at UiPath has reached far beyond its sales team, giving each department visibility into deal progress and customer needs: 

  • Sales uses AI-driven forecasts to prioritize high-impact deals and address risks before they escalate. 
  • Customer success teams now have clear visibility into upcoming renewals and potential churn, contributing to improved retention rates. 
  • Marketing and product teams are able to tap into conversation intelligence to spot competitive trends, refine messaging, and shape enablement strategies.

This level of visibility has enabled UiPath to track sales performance and adoption rates by segment — pinpointing where additional enablement or marketing support are needed. Ben highlights  the importance of tailoring sales plays for specific verticals, such as healthcare or financial services. 

He describes this as combining a “ground war” of targeted sales execution with an “air war” of coordinated digital and product marketing, new messaging, and enablement. This approach allows him to recognize winning patterns across multiple opportunities, driving energy and consistency rather than simply focusing on hitting the number.

“I can't say enough nice things about how Clari helps me run a much more smooth business here at UiPath.”

Ben Fiechtner
President, Americas for UiPath

Three pillars of UiPath’s revenue transformation

1. Unified lifecycle visibility

Breaking down silos between pre-sales, sales, and post-sales teams, Clari provides a single source of truth for all revenue activities — new sales, renewals, and expansions.

2. AI-driven early warning system

Clari’s algorithms detect subtle changes in deal health, stakeholder engagement, and pipeline patterns — weeks or months before they would appear in traditional reports.

3. Product intelligence integration

By combining forecasting with product telemetry, UiPath can see which products are gaining traction, in which verticals, and why — enabling targeted enablement and sales plays.

“Clari’s AI helps us understand which deals have the highest likelihood of closing, so we can put more effort in those or the ones lagging significantly due to the CRM score or the Clari conversion score.” 

Ben Fiechtner
President, Americas for UiPath

Transforming revenue operations into a strategic advantage

For UiPath, Clari is more than a forecasting tool; it’s a strategic revenue orchestration platform that delivers predictive insights into new product readiness and identifies the optimal timing for account expansion. 

It also enables real-time adjustments to sales plays based on competitive dynamics and guides strategic resource allocation across territories and verticals. By combining AI, unified data, and product intelligence, UiPath has transformed a complex revenue landscape into one of clarity, foresight, and competitive advantage.

The bottom line

UiPath’s journey with Clari demonstrates how an enterprise can transform revenue orchestration by uniting forecasting, AI, and product intelligence in a single platform.

The results speak for themselves: fewer slipped deals, higher renewal rates, faster adoption of new products, and more time for leaders to focus on strategy rather than spreadsheets.

Most importantly, UiPath’s revenue teams now operate with the confidence that they are not just tracking the present — they’re actively shaping the future.

This is the success story at UiPath. And it’s the blueprint for high-growth revenue teams.

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