Case Study: Providing an Operating System for Deal Teams

Case Study
Written By Brian .

Client: Velmont Credit (Mid-Market PE Firm)

The Challenge: Institutional Amnesia and the "Silo" Tax

The Scenario

Velmont Credit was evaluating Project Velocity, a SaaS platform in the logistics space. The deal lead, a junior VP, utilized Claude to summarize the CIM and run a preliminary market analysis. The AI told him the sector was growing at 12% and the unit economics looked "strong." Based on this individual productivity boost, the deal moved to a full Investment Committee (IC) review.

Leveraging Individual AI

During the IC meeting, a Senior Partner asked a pivotal question: "Didn't we pass on a company exactly like this last year  because of their churn definition?"

  • The Search: The VP spent three hours after the meeting digging through SharePoint and old emails.

  • The Result: He found the old deal, but the lead analyst on that project had left the firm. The notes were cryptic ("Churn issues—see Notes") and nowhere to be found.

  • The Cost: Two weeks of due diligence were wasted on a deal that violated a core firm-wide risk threshold. The firm had "individual speed" but "institutional amnesia."

Providing an OS for the Investment Team

Velmontimplemented Claira, an agentic AI platform. Six months later, a similar deal—Project Rapid—entered the pipeline.

1. Proactive Memory Injection

The moment the Analyst uploaded the Project Rapid teaser, Claira didn't just summarize it. It triggered an automatic alert:

"Warning: Project Rapid shares 85% structural similarity with Project Velocity (2024) and LogisticsFlow (2022). Historical IC concern: 'Gross Churn vs. Net Churn' reporting discrepancies."

2. Cross-Team Coordination

While the Deal Team was evaluating Project Rapid as a logistics tool, the Agentic AI was busy connecting dots across the firm’s entire history.

  • The Connection: The platform identified that six months ago, your Retail team had conducted a series of "Expert Network" interviews regarding a major big-box retailer’s internal tech roadmap.

  • The Intelligence: The platform automatically flagged a specific transcript where a former CTO mentioned they were building an in-house version of exactly what Project Rapid sells—effectively turning a massive potential customer into a lethal competitor.

  • The Result: Instead of an analyst working in a vacuum, Claira pushed this "off-book" intelligence to the front of the deal file. The team didn't have to wait for a chance hallway conversation with a partner in another vertical; the firm’s collective knowledge was delivered to them the moment it became relevant.

As the deal team continued to analyze Project Rapid, they noted the company’s "Net Revenue Retention" (NRR) looked impressive, but they wanted to learn more about potential churn issues..

The Action: Claira, performing a lateral audit of the firm’s knowledge base, flagged more about a potential conflict:

  • The Connection: The system identified a deep-dive "Post-Mortem" report written 18 months ago by the Fintech team regarding a failed investment in a payments processor.

  • The Intelligence: Claira surfaced a specific internal memo detailing how that previous company had "masked" high customer churn by aggressive price hiking on a small set of legacy users—the exact same accounting maneuver Project Rapid was currently employing to inflate their NRR.

  • The Result: Instead of the analyst working in a vacuum, the system pushed this "red flag" to the front of the deal file. The team didn't have to wait for a senior partner to remember the details of an old post-mortem; Claira provided the "pattern recognition" of a 20-year veteran instantly. They shifted their diligence to focus on logo churn rather than revenue retention, identifying the risk before the firm committed capital.

3. Real-Time IC Resolution

During the IC meeting for Project Rapid, the question about churn definitions arose.

  • The Difference: The Deal Team didn't "take it as a follow-up."

  • The Action: They queried Claira live: "Compare Rapid’s churn logic to our 2022 Logistics benchmark." 

  • The Instant Answer: Claira pulled the exact data from three years ago, normalized it against the current deal, and showed that the risk had been mitigated by a new contract structure.

The Results: Beyond Efficiency

By shifting from "AI for Analysts" to an "Agentic AI Platform," Velmont Credit achieved measurable Alpha, reducing sourcing and due diligence time, providing real-time institutional recall, and immensely improving decision quality. 

Brian .
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