AI Due Diligence Automation

Extract deal intelligence from data rooms in hours, not weeks.

Deploy secure, tenant-isolated AI workflows to process Virtual Data Rooms (VDRs), extract commercial terms from CIMs, and flag anomalies across thousands of target company documents.

Workflow Value

From dense data to defensible action.

The Virtual Data Room Bottleneck

Deal teams are given massive VDRs and extremely short windows to evaluate targets. Manual extraction of financial covenants, change-of-control clauses, and employee liabilities from unorganized PDFs leads to missed risks and burnt-out analysts.

Automated CIM & LPA Extraction

We build pipelines that ingest Confidential Information Memorandums (CIMs) and Limited Partnership Agreements (LPAs), utilizing specialized LLMs to extract over 150+ standard data points into structured comparison matrices instantly.

Red-Flag Detection vs. Playbooks

Instead of open-ended chatting with documents, our systems execute deterministic workflows. Every contract in the VDR is parsed and compared against your firm's specific risk playbook to surface deviations, missing clauses, and non-standard liabilities.

Extreme Security for Unannounced Deals

M&A data is highly confidential. We deploy the entire diligence workflow—including the LLM inference engine—inside a dedicated VPC or private cloud tenancy. Your deal data is strictly ring-fenced and never used for public model training.

Agent Workflow Architecture

How the AI agent system works behind the page.

Every solution is implemented as a controlled workflow, not a loose chatbot. The agent operates inside approved data scopes, produces inspectable outputs, and routes judgment back to the right human owner.

Scope the job

Define the exact workflow, input sources, business rules, user roles, output format, and what the AI agent is allowed to do.

Retrieve the right context

Pull only approved documents, records, ERP context, control libraries, or playbooks before the agent drafts or acts.

Produce source-visible output

Generate findings, matrices, notes, SQL-backed answers, or queues with source references, exception reasons, and confidence signals.

Validate before expansion

Measure reviewer edits, pass/partial/fail outcomes, time saved, exception quality, and adoption before moving to adjacent workflows.

FAQ

Frequently asked questions

Can this handle scanned, low-quality documents?

Yes. We integrate enterprise-grade OCR solutions as the first step in the pipeline. We normalize poor scans, deskew images, and rebuild tables perfectly before any AI analysis begins.

Does this replace the diligence team?

No. The AI does the exhaustive parsing, extraction, and flagging. It provides exact citations to the source documents so the diligence team can verify the findings and focus on valuation and strategy rather than data entry.

Automate one repeatable workflow.

Bring the workpaper, evidence review, or diligence process that consumes the most hours. We will map a practical AI-assisted pilot around your methodology.