Go beyond stated values by using AI tools like Granola to analyze meeting transcripts in aggregate. This generates an "unspoken culture handbook" that reflects how your team actually operates, revealing gaps between stated and practiced values and providing a data-driven basis for hiring rubrics.

A CEO overseeing 40 general managers replaced monthly operating reviews with 20-minute video updates. He feeds the transcripts into a custom AI agent trained on the company playbook to instantly identify key issues and revenue shortfalls. This transforms the review process from data gathering to rapid problem-solving.

Beyond simple quantitative screens, AI can now identify companies fitting complex, qualitative theses. For example, it can find "high-performing businesses with temporary, non-structural hiccups." This requires synthesizing business model quality, recent performance issues, and the nature of those issues—a task previously reliant on serendipity.

Founders are consistently and universally wrong about their financial projections, particularly cash runway. AI tools can provide an objective, data-driven forecast based on trailing growth, correcting for inherent founder optimism and preventing critical miscalculations.

To analyze brand alignment accurately, AI must be trained on a company's specific, proprietary brand content—its promise, intended expression, and examples. This builds a unique corpus of understanding, enabling the AI to identify subtle deviations from the desired brand voice, a task impossible with generic sentiment analysis.

AI determines whether to recommend a business by evaluating "trust signals," which function like a financial credit score. This score is built from every piece of online content about your company, including your own articles, videos, and all third-party reviews.

Unlike consumer chatbots, AlphaSense's AI is designed for verification in high-stakes environments. The UI makes it easy to see the source documents for every claim in a generated summary. This focus on traceable citations is crucial for building the user confidence required for multi-billion dollar decisions.

Vague marketing slogans are now a liability. AI actively verifies claims by seeking proof like awards, certifications, or third-party citations. If your business makes an assertion without verifiable proof, AI will penalize your trust score and credibility.

Founders can get objective performance feedback without waiting for a fundraising cycle. AI benchmarking tools can analyze routine documents like monthly investor updates or board packs, providing continuous, low-effort insight into how the company truly stacks up against the market.