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    Home»AI»DiligenceSquared: Using AI Voice Agents to Slash M&A Research Costs
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    DiligenceSquared: Using AI Voice Agents to Slash M&A Research Costs

    FelipeBy FelipeMarch 7, 2026No Comments2 Mins Read
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    Democratizing Due Diligence with Voice AI

    Private equity investment often comes with a heavy price tag, particularly when it comes to the research phase known as due diligence. Traditionally, firms turn to expensive management consultants who charge premium fees just to talk to customers and understand market sentiment. However, a new startup called DiligenceSquared is changing the game by leveraging artificial intelligence voice agents to make this process significantly more affordable.

    The Innovation Behind the Solution

    Instead of relying on human intermediaries or costly consulting contracts, DiligenceSquared deploys sophisticated AI agents that can conduct interviews directly with customers of companies PE firms are considering for acquisition. These agents are designed to sound natural, engaging in conversation to gather critical insights without the overhead of a traditional consulting firm.

    The technology allows investors to bypass the expensive intermediary layer that has long defined the industry. By using AI voice agents to conduct these interviews, the startup captures data that helps paint a clearer picture of customer satisfaction and business health. This shift represents a significant step forward in how financial institutions approach market analysis, moving away from static questionnaires toward dynamic, conversational data collection.

    The Impact on Industry Standards

    The implications for the industry are profound. By automating the interview process, DiligenceSquared democratizes access to high-quality data that was previously reserved for well-funded giants. For smaller private equity firms or independent investors, this technology lowers the barrier to entry, allowing them to compete effectively without breaking the bank.

    It also accelerates the timeline for research, as AI agents can operate around the clock, sifting through vast amounts of information much faster than a human team could manage. This efficiency is crucial in a fast-moving market where speed often equates to winning deals. Furthermore, this innovation highlights a broader trend where voice technology is becoming integral to enterprise software.

    As AI models improve in their ability to handle nuanced conversations, the line between automated tools and human interaction blurs. This doesn’t necessarily replace human expertise but rather augments it, handling the repetitive data collection tasks so experts can focus on strategy and decision-making. Ultimately, DiligenceSquared’s approach paves the way for a more efficient future in mergers and acquisitions, suggesting that the

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    Felipe

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