An impact investment firm needed to review investment documents faster without losing judgment. We introduced AI-assisted analysis that reduced review time while keeping humans firmly in control.

Problem

Clearhaven reviewed a high volume of investment memos, reports, and supporting documents every quarter. Analysts manually extracted key financial and impact metrics, often under tight deadlines. The process was slow, and the quality of analysis varied depending on who handled the document and how much time they had.

Leadership wanted to improve speed and consistency but was wary of fully automating decisions. The concern was not just accuracy, but accountability. Any system introduced had to support analysts, not override them.

Solution

We implemented an AI-assisted document analysis system designed to work alongside Clearhaven’s existing team. The system produced structured summaries, highlighted key indicators, and flagged potential risks, but never made final recommendations. Analysts reviewed and validated every output.

The model was tuned using Clearhaven’s historical decision patterns so it reflected how the firm already thought about investments. Confidence indicators helped users judge when deeper review was needed. We added audit logs so leadership could see how AI outputs were used in decisions. The rollout began as a controlled pilot before expanding across the team, ensuring trust was built gradually.