How Pave cut vendor analysis time by 90% and freed 5+ hours per month with Concourse AI Agents
90%
faster vendor analysis
5+ hours
saved monthly
3x faster
strategic insights
Company name
Pave
Industry
HR Tech / Compensation
Company size
Series C
Funding
$163M
Integrations
NetSuite
Partnership start date
January 2025
"With over 5,000 transactions monthly across hundreds of vendors, Concourse allows us to analyze large amounts of data in minutes instead of hours. It's impacted how we handle financial complexity at scale."
Ben Maffei
Strategic Finance, Pave
The Challenge
Transaction volume outpaces manual financial reporting during the monthly close
At Pave, streamlining the month-end close required completing transaction categorization and vendor analysis for thousands of entries. As the company grew, the process became harder to manage manually.
"We were managing increasing complexity with manual financial reporting processes," explains Ben. "Our workflows couldn't deliver the automated analysis our growing business demanded."
Vendor Management Consumed Hours of Effort
From identifying duplicate services to spotting optimization opportunities, vendor management was a significant time sink. Transaction categorization was prone to errors, and generating meaningful strategic insights required cross-referencing multiple data sources—a very time-consuming manual process. Monthly variance analysis remained surface-level, leaving leadership without the detailed insights needed to make informed decisions.
Solution
Concourse AI Agents deliver vendor analysis and insights in minutes
Traditional financial reporting tools and vendor analysis software often require months of implementation and significant engineering resources. Pave needed a solution that could start providing insights immediately, without disrupting existing workflows. "We needed AI agents that could automate vendor analysis without adding complexity to our stack," Ben explains.
Concourse AI agents connected directly to QuickBooks, pulling in transaction data, memos, and descriptions to analyze them quickly. Beyond internal data, the AI provided context on vendors and market conditions, helping the finance team understand relationships and opportunities more clearly. Mis-categorized transactions were flagged, and new categorizations were automatically generated based on patterns and context, reducing errors and freeing up time for more strategic work. The platform provided the depth of insight the team needed on top of QuickBooks with minimal effort.
Rapid Setup
Day 1 Integration with QuickBooks in under five minutes
No engineering resources or data migration were required, and the AI agents began analyzing complex financial data almost immediately.
Week 1 Tackling the most time-intensive tasks
The team began using Concourse for its most time-intensive tasks. Vendor analysis shifted from manual, spreadsheet-based work to more efficient, intelligent insights. Financial reporting evolved from static summaries to dynamic commentary enriched with both internal and external context. The team went from spending days on vendor analysis to having conversations with AI that provided detailed and insightful answers in minutes.
Month 1 Fully embedded into daily workflows
Concourse AI agents were fully embedded into daily workflows. The finance team could analyze more transactions, answer more questions, and generate insights faster, all while maintaining accuracy and operational efficiency, unlocking real finance team productivity.
“We went from spending days on vendor analysis to having conversations with AI that provided detailed and insightful answers in minutes.”
Results
90% faster vendor analysis, 5+ hours saved monthly thanks to Concourse AI Agents
The Concourse implementation at Pave delivered both immediate operational improvements and strategic capabilities, enabling continued growth without proportional resource scaling.
Quantified Impact
90%
faster vendor analysis
Vendor analysis accelerated through AI-powered intelligence, helping identify optimization opportunities and better understand vendor relationships across their growing operations. Concourse AI agents quickly flagged miscategorized transactions and identified patterns across Pave's 5,000+ monthly transactions.
3x
faster strategic insights
Monthly variance analysis became more detailed, providing explanations for variances across each GL, department, and account movement. Concourse AI agents leverage vendor fields, general knowledge, and noticeable patterns to generate rich commentary quickly.
5+
hours saved per month
Over 5 hours per month were reclaimed from manual reporting, allowing time to be redirected to strategic initiatives supporting Pave's growth and other priorities the finance team previously couldn't address.
Strategic Transformation
Faster access to actionable insights
Leadership gained faster access to actionable insights, supporting better decision-making. Concourse enabled analytical capabilities that allowed the finance team to provide more sophisticated analysis while maintaining operational efficiency. "That freed-up time has been really valuable. We can finally focus on analysis that actually moves the business forward," says Ben.
Regaining analytical capacity
The biggest change wasn't just the time savings, it was getting analytical capacity back. The team went from digging through manual transactions to thinking strategically about the business. By automating manual workflows and delivering deeper financial insights, Concourse has helped Pave scale its finance operations without adding proportional resources, supporting both growth and smarter decision-making.
"The biggest change wasn't just the time savings—it was getting analytical capacity back. We went from digging through manual transactions to thinking strategically about the business."
Ben Maffei
Strategic Finance, Pave
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