M&A Due Diligence Workflow

Abstract

The Prismatic Platform supports end-to-end M&A (Mergers and Acquisitions) due diligence through a structured, eight-phase workflow that guides analysts from initial target identification through comprehensive investigation to final deal assessment and post-closing monitoring. This document describes each workflow phase, the platform capabilities leveraged at each stage, the deal assessment methodology that translates investigation findings into go/no-go recommendations, and the continuous monitoring capability that extends due diligence beyond the transaction close. The M&A workflow integrates all platform subsystems -- entity management, OSINT collection, graph analysis, cross-validation, risk assessment, compliance mapping, and case management -- into a cohesive investigative process purpose-built for transaction support.

Introduction

M&A Due Diligence in the Digital Age

Mergers and acquisitions due diligence has traditionally been a labor-intensive process involving teams of lawyers, accountants, and analysts spending weeks or months in data rooms reviewing documents, interviewing management, and compiling reports. While certain aspects of due diligence -- legal document review, financial statement analysis, and management assessment -- inherently require human expertise, the open-source intelligence dimension of M&A due diligence is highly amenable to automation.

The Prismatic Platform automates the OSINT-intensive aspects of M&A due diligence: entity verification through registry integration, ownership chain analysis through graph traversal, risk scoring across seven dimensions, sanctions and PEP screening, and cross-validation of all findings through the triple-check methodology. This automation reduces the time required for comprehensive due diligence from weeks to days while improving the thoroughness and reproducibility of the investigation.

Scope of Application

The M&A due diligence workflow is designed for:

• Acquisition due diligence: Investigating a target company before an acquisition offer or during exclusivity
• Merger partner assessment: Evaluating a potential merger partner's risk profile and corporate health
• Investment due diligence: Assessing investment targets for private equity, venture capital, or strategic investors
• Joint venture evaluation: Investigating potential joint venture partners before commitment
• Divestiture preparation: Preparing a subsidiary or business unit for sale by assembling a comprehensive data profile

The Eight-Phase Workflow

Phase 1: Target Identification and Scoping

The workflow begins with the creation of a parent case for the M&A engagement and the identification of primary target entities.

Activities:

• Create parent M&A case with deal context (transaction type, timeline, regulatory jurisdiction)
• Identify primary target entities (target company, known subsidiaries, key persons)
• Define investigation scope: entity types to investigate, depth of ownership chain analysis, applicable compliance frameworks
• Establish timeline and deliverable schedule
• Assign lead analyst and review team

Platform Capabilities:

• Case creation and hierarchical case organization
• Seed entity creation with initial identifiers (ICO, company name, key person names)
• Scope template selection based on transaction type

Phase 2: Automated Entity Enrichment

Once seed entities are identified, the platform launches parallel enrichment across all relevant OSINT sources.

Activities:

• Query 30+ Czech registries for all target entities
• Query 84+ global intelligence sources for entity data
• Collect company formation documents, statutory body records, financial filings
• Perform initial sanctions and PEP screening
• Collect cyber risk data (domain security, breach history, infrastructure exposure)

Platform Capabilities:

• Parallel OSINT collection via Broadway pipeline
• Automated entity resolution across sources
• Real-time enrichment progress tracking in LiveView dashboard

Typical Duration: 1-4 hours for comprehensive enrichment of 10-50 entities

Phase 3: Graph Expansion

Starting from enriched seed entities, the graph analysis engine traverses relationship edges to discover related entities requiring investigation.

Activities:

• Traverse ownership chains upward to identify beneficial owners
• Identify all companies sharing directors with target entities
• Discover address clusters and virtual office patterns
• Map subsidiary and affiliate relationships
• Identify shared service providers and key contractors

Platform Capabilities:

• Multi-hop ownership chain traversal
• Director network analysis with conflict-of-interest detection
• Address clustering with property cross-reference
• Automatic creation of child cases for material subsidiaries

Typical Discovery: 10-50x entity expansion from seed set (e.g., 5 seed entities expand to 50-250 entities)

Phase 4: Cross-Validation

All collected data passes through the triple-check cross-validation methodology to establish confidence levels.

Activities:

• Source-level validation: authority classification, freshness weighting, format validation
• Cross-source corroboration: Bayesian confidence updating across independent sources
• Temporal consistency: historical snapshot comparison, change velocity analysis
• Contradiction identification and classification

Platform Capabilities:

• Automated three-layer validation pipeline
• Confidence scoring for every entity attribute
• Contradiction alerts for analyst attention
• Trinity Gate verification for critical claims

Typical Outcome: 85-95% of entity attributes verified to High Confidence or above; 5-15% flagged for analyst review

Phase 5: Analyst Deep-Dive

Human analysts review automated findings, investigate flagged contradictions, and conduct targeted deep-dive investigations on areas of concern.

Activities:

• Review all contradiction alerts and resolve or document
• Investigate entities with low confidence scores requiring manual verification
• Assess qualitative factors not captured by automated analysis (management quality, strategic positioning)
• Conduct targeted investigations on flagged risk indicators
• Add contextual notes to the investigation record

Platform Capabilities:

• Collaborative case management with real-time updates
• Entity-level notes with threading and attachments
• Manual entity creation for analyst-discovered entities
• Targeted source queries for specific investigation leads

Phase 6: Risk Assessment

The Risk Assessment Framework computes dimensional risk scores and overall risk ratings for all primary entities.

Activities:

• Compute seven-dimensional risk scores (Financial, Legal, Ownership, Operational, Compliance, Reputational, Cyber)
• Apply confidence weighting based on cross-validation results
• Generate risk profiles for primary target and material subsidiaries
• Aggregate subsidiary risk profiles into parent case assessment
• Identify risk mitigation opportunities

Platform Capabilities:

• Automated risk scoring across seven dimensions
• Evidence-based scoring with triple-check confidence integration
• Automatic grade overrides for critical findings (sanctions, insolvency)
• Risk trend analysis when historical assessments are available

Phase 7: Report Generation and Review

The platform generates structured due diligence reports mapped to applicable compliance frameworks, which are then reviewed by senior analysts.

Activities:

• Generate executive summary for deal team leadership
• Generate detailed DD report with full investigation narrative
• Generate compliance-mapped reports (NIS2, ZKB, AML/KYC as applicable)
• Generate risk assessment report with dimensional breakdowns
• Peer review of all generated reports
• Address review comments and finalize

Report Types for M&A:

Phase 8: Post-Deal Monitoring

After transaction close, the platform supports continuous monitoring of acquired entities and their networks.

Activities:

• Configure monitoring schedules for key entities and risk indicators
• Set alert thresholds for material changes (ownership, insolvency, sanctions)
• Periodic re-enrichment and risk re-assessment
• Integration event monitoring (post-merger organizational changes)
• Regulatory change monitoring for applicable compliance frameworks

Monitoring Capabilities:

Deal Assessment Methodology

The Deal Assessment Matrix

The platform produces a structured deal assessment that combines the overall risk rating with deal-specific factors:

Deal Recommendation Categories

Integration with Deal Structure

The platform's risk assessment informs specific deal structure recommendations:

• Escrow provisions: Recommended escrow percentages based on risk grade
• Representation scope: Specific representations and warranties suggested based on identified risk areas
• Indemnification: Targeted indemnification provisions for identified risks
• Conditions precedent: Specific pre-closing conditions based on outstanding risk items
• Post-closing adjustments: Monitoring and earn-out provisions based on risk trajectory

Competitive Advantages for M&A

Speed

Traditional M&A OSINT due diligence requires 2-6 weeks of analyst time. The Prismatic Platform reduces the automated collection and cross-validation phases to hours, enabling comprehensive due diligence within 2-5 business days including analyst review.

Depth

The integration of 30+ Czech registries provides deeper entity verification than any comparable platform in the Central European market. Ownership chains are traced through graph analysis to the ultimate beneficial owner level, not merely to the first holding company layer.

Reproducibility

Every investigation follows the same structured workflow with the same validation methodology, producing consistent, comparable results regardless of which analyst conducts the investigation. This reproducibility is essential for regulated entities that must demonstrate consistent due diligence standards.

Audit Trail

The complete audit trail maintained by the case management system satisfies the documentation requirements of regulatory bodies, external auditors, and post-transaction dispute resolution. Every finding can be traced to its source with full provenance.

Industry Application Scenarios

Private Equity Portfolio Screening

Private equity firms conducting portfolio screening use the M&A workflow to rapidly assess multiple potential targets in parallel. The platform's hierarchical case management enables a parent case for the screening exercise with child cases for each prospective target, providing side-by-side risk grade comparisons that accelerate portfolio selection decisions.

Strategic Acquisition Due Diligence

Corporate acquirers conducting strategic acquisitions leverage the full eight-phase workflow with extended scope, including technology assessment (domain security, infrastructure analysis), supplier network mapping (contract registry analysis combined with graph expansion), and regulatory compliance assessment across multiple frameworks. The platform's compliance mapping is particularly valuable for cross-border acquisitions where targets must satisfy both Czech and EU-level regulatory requirements simultaneously.

Financial Institution Counterparty Assessment

Financial institutions use the platform's M&A workflow adapted for counterparty risk assessment, combining the AML/KYC compliance requirements with the seven-dimensional risk assessment. The continuous monitoring phase (Phase 8) is especially critical in this context, as regulatory requirements mandate ongoing counterparty surveillance rather than point-in-time assessment.

Conclusion

The M&A due diligence workflow demonstrates the Prismatic Platform's ability to orchestrate complex, multi-phase investigations that span hundreds of entities, dozens of data sources, and multiple regulatory frameworks. By automating the data-intensive phases of due diligence while preserving human judgment for interpretation and decision-making, the platform enables M&A professionals to conduct more thorough investigations in less time, with higher confidence in the reliability and completeness of their findings.

References

• Entity Management System
• OSINT Integration Framework
• Graph Analysis Engine
• Triple-Check Methodology
• Risk Assessment Framework
• Compliance Framework
• Case Management System
• Czech Registry Integration
• M&A Intelligence Capability
• Platform Architecture

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Created by Tomáš Korcak (korczis) | Open Source under GHL

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