Private Equity — Deal Review Automation

This case shows how repeatable deal-review and diligence work can be turned into a controlled automation workflow — helping investment teams search documents faster, prepare review materials more consistently, and keep professionals in control of sensitive decisions.

Client profile: Private equity fund / investment team / deal advisory team

Situation

Investment teams often work across large data rooms, diligence documents, financial models, emails, notes, and internal approval processes.

A significant amount of time is spent manually searching documents, answering repeated diligence questions, preparing investment memo inputs, checking source materials, and maintaining control over sensitive deal information.

This can slow down deal review, create duplicated effort, produce inconsistent outputs, and make it harder to maintain a clear source-of-truth throughout the diligence process.

What MHN Labs implemented

1. MHN Labs created a controlled deal-review automation workflow connecting approved deal documents, diligence materials, review steps, memo templates, and internal approval processes.

2. Automated workers classified documents, searched approved sources, extracted relevant evidence, prepared draft answers to diligence questions, supported memo creation, organised review materials, and assembled deal-review packs for the investment team.

3. Selective AI was used to summarise long documents, interpret context, and draft review materials where useful — while evidence, uncertainty flags, and human review remained built into the workflow.

Human control

Investment professionals remained responsible for judgement, recommendations, and final investment decisions.

The system prepared the work, showed supporting evidence, flagged uncertainty, and routed sensitive outputs for review before use.

Outcomes

Typical outcomes included faster diligence preparation, less repeated manual searching, clearer source-of-truth, better investment memo support, more consistent review packs, and more controlled use of AI in sensitive investment workflows.

->> Discuss a Deal Review Workflow

Note: These examples are anonymized composites and may combine elements from multiple engagements to protect confidentiality.