AI-Powered Financial Due Diligence Cuts Reporting Time by 50% for a San Francisco PE Firm

The Client Profile

Due to the confidential nature of this engagement and the terms of our non-disclosure agreement (NDA), the client's name cannot be publicly disclosed. The organization is a U.S.-based private equity firm operating within the financial services sector, with approximately 110 employees across three major U.S. markets.

Industry: Financial Services | Private Equity
Organization Type: Private Equity and Investment Management Firm
Headquarters: United States
Operational Footprint: Approximately 110 employees across three regional offices
Primary Activities: Investment evaluation, financial due diligence, transaction analysis, portfolio management, and investment reporting
Use Case: AI-Powered Financial Due Diligence Automation
Technology: Claude, Workato, and secure cloud infrastructure
Business Impact: 50% faster reporting, 3x greater analyst capacity, and fully traceable data extraction

Like many private equity firms, the organization operates in a document-intensive, data-driven investment environment where analysts must rapidly evaluate large volumes of financial and operational information before an investment decision can be made. Due diligence frequently requires teams to review financial statements, compliance policies, operating documents, supporting records, and other transaction materials to identify relevant information, assess risk, and prepare findings for investment stakeholders.

Before modernization, analysts spent more than six hours preparing each due diligence report, with a significant portion of that time dedicated to manually locating, extracting, validating, and organizing information across disparate documents. This repetitive process limited analyst capacity and made it difficult to scale due diligence activity as deal volume increased.

To address these challenges, the firm partnered with Quandary Consulting Group to introduce an AI-powered due diligence workflow using Claude and Workato, creating a more efficient and traceable approach to financial document analysis while maintaining the controls required within a private equity environment.

The Challenge

Manual Due Diligence Limited Growth

A financial advisory firm specializing in complex due diligence engagements relied on experienced analysts to evaluate financial statements, compliance manuals, regulatory requirements, and other supporting documents.

Every engagement required analysts to review hundreds of pages, locate relevant information, compare findings against established risk frameworks, and manually transfer key details into standardized reports.

A single report could require more than six hours of analyst time. Much of that time was spent searching documents and entering data—not evaluating financial risk or advising clients.

As demand increased, the firm faced several operational challenges:

Analyst capacity limited the number of engagements the firm could accept.
Manual extraction increased reporting time and operating costs.
Findings and report language varied between analysts.
Supporting evidence was difficult to trace during compliance reviews.
Hiring additional analysts was becoming the only way to increase capacity.

The firm needed to accelerate its due diligence process without compromising accuracy, security, or human oversight.

The Solution

A Secure AI-Powered Due Diligence Platform

Quandary Consulting Group designed an AI-powered due diligence platform that automated document intake, information extraction, risk identification, and report preparation.

The solution used Claude as an intelligent document-analysis layer and Workato to orchestrate workflows across the firm’s document repositories, reporting systems, and approval processes. So rather than allowing AI to make final risk determinations, Quandary positioned the platform as an analyst copilot. The technology prepared evidence-backed findings, while experienced analysts retained control over interpretation, recommendations, and final approval.

Automated Document Intake

Workato monitored approved intake channels and automatically collected documents associated with each engagement.

The platform categorized and organized:

Financial statements
Compliance policies
Audit reports
Corporate records
Regulatory documentation
Contracts and supporting materials

Each file was assigned to the appropriate client, engagement, document category, and review workflow.

AI-Powered Document Analysis

Claude analyzed large volumes of structured and unstructured information to identify the data required for each due diligence report, the platform extracted relevant:

Financial metrics and performance indicators
Ownership and organizational information
Compliance requirements
Material inconsistencies
Missing documentation
Risk indicators
Regulatory references
Exceptions requiring analyst review

Claude evaluated information against the firm’s approved due diligence frameworks and returned structured findings for human validation.

Source-Cited Findings

Every AI-generated finding was connected to its supporting source.

Analysts could review the original document, relevant section, and page reference before accepting or modifying the information. This traceability reduced the risk associated with unsupported AI-generated conclusions and made it easier to respond to internal audits, client questions, and regulatory scrutiny.

Automated Report Preparation

Once the analysis was complete, the platform populated the firm’s existing report templates with structured, source-supported content. Analysts received a preliminary report containing:

Extracted financial information
Compliance observations
Identified risk factors
Documentation gaps
Supporting citations
Items requiring professional judgment

Instead of beginning with a blank report, analysts started with an organized draft that was ready for validation and refinement.

Human Review and Exception Management

Workato routed high-risk findings, conflicting information, and low-confidence extractions to the appropriate analysts.

Reviewers could approve, revise, reject, or escalate each finding. Final reports could not be released until all required human approvals were complete and this human-in-the-loop model allowed the firm to increase speed while preserving accountability for consequential financial and compliance decisions.

Security, Governance, and Auditability

The platform incorporated enterprise security and AI governance controls, including:

Role-based access permissions
Encryption in transit and at rest
Document-level access controls
Complete activity logging
Version histories
Analyst override tracking
Required approval workflows
Retention and deletion policies

Every extraction, modification, and approval was recorded, creating a defensible audit trail across the entire due diligence lifecycle.

The Results

Greater Capacity Without Additional Headcount

Quandary developed a secure, RAG-powered platform using Claude, Workato, and cloud infrastructure to automate document analysis and generate fully traceable findings. The solution reduced reporting time by 50%, tripled analyst capacity, and gave compliance teams a complete audit trail for every extraction.

The new platform transformed due diligence from a document-intensive manual process into a controlled, AI-assisted workflow.

50% Faster Report Generation

Automating document review, data extraction, and initial report preparation cut report generation time by approximately 50%. Analysts could spend more time evaluating risk and less time searching through source material.

3x Greater Analyst Capacity

With repetitive work automated, each analyst could support up to three times as many client engagements without a proportional increase in headcount.

Fully Traceable Findings

Every extracted data point was connected to supporting source material, giving analysts and compliance teams a clear record of how each finding was produced.

More Consistent Reporting

The platform applied the same extraction criteria, templates, and review requirements across every engagement. This reduced variability and improved report consistency across the firm.

Stronger Compliance Oversight

Centralized audit logs, source citations, approval records, and analyst override histories made compliance reviews faster and more defensible.

The Business Impact

By combining Claude’s document-intelligence capabilities with Workato’s workflow orchestration, Quandary helped the firm scale its due diligence services without removing people from high-stakes decisions.

The solution did not replace financial analysts. It removed the repetitive work preventing them from applying their expertise where it mattered most.

The result was a faster, more consistent, and more auditable due diligence process capable of supporting continued growth without sacrificing quality or control.

PREVIOUS CASE STUDYJacobs Procurement Automation Cuts Operational Headcount by 57% While Managing $600M in Annual Spend

NEXT CASE STUDYSurgical Outpatient Network Reduced Time for Prior Authorization by 46%