AJA Automation Intelligence transforms unstructured financial statements into structured, validated, decision-grade data. A Financial Diagnostics Platform built for continuous financial clarity — supporting operational decisions, growth planning, financing, and institutional review across the full financial lifecycle.
AJA is built as a structured financial data layer — an AI-powered infrastructure that extracts, validates, classifies, and normalizes financial statements into decision-grade output. Every product is a component of a single, coherent financial intelligence architecture.
Proprietary Financial Intelligence Workflow — Delivered via SaaS and Managed Service
The AJA platform is organized as three distinct infrastructure layers — each addressing a specific stage in the financial data validation and structuring lifecycle. Together they form a complete Financial Diagnostics Platform.
Initial financial intelligence extraction and validation
Identifies inconsistencies, structural gaps, and validation issues in financial statements before they surface in due diligence.
Financial normalization and classification engine
Transforms financial statements into structured, IRS-aligned, comparable data — the normalization engine that underpins investor-grade reporting.
Hybrid AI + Managed Financial Infrastructure
Corrects and maintains financial statement integrity on an ongoing basis — combining AI detection with human-in-the-loop financial review for continuous financial integrity monitoring.
AJA serves any organization that requires structured, validated financial data — for operational financial management, growth planning, financing, investor reporting, or transaction preparation. Transaction readiness is one application of a broader financial data infrastructure.
AJA is designed as a scalable, recurring-revenue-capable platform — combining free diagnostic tools, advanced analytics, flat-fee services, and ongoing managed financial infrastructure. The COH investor relations page contains full platform and revenue documentation.
Free EBITDA calculator and financial diagnostics entry point — no signup, no data retention.
Detailed EBITDA analysis, IRS category mapping, P&L cross validation, and structured data output.
Fixed-engagement financial statement correction and restructuring — delivered by COH's U.S. and India delivery team.
AI-assisted ongoing financial hygiene — continuous categorization monitoring, anomaly alerting, and integrity validation.
Future roadmap: enterprise API access for accounting firms, PE platforms, and financial data infrastructure integrations.
Practical guidance on financial statement quality, EBITDA normalization, and financial data infrastructure — from the AJA team at Consulting Opportunity Holdings LLC.
Misclassified expenses, unreconciled intercompany transactions, and undocumented owner compensation adjustments are among the most frequent issues that surface during buyer due diligence — and the most preventable with structured pre-transaction financial review.
Normalized EBITDA removes non-recurring items, owner-specific expenses, and non-operational costs from reported earnings. A well-documented normalization schedule directly supports a higher defensible valuation multiple by reducing buyer uncertainty about underlying business cash flow.
Buyers and investors evaluate structured financial data faster and with higher confidence than raw statements. Organized, validated, and cross-referenced financials reduce diligence timelines, minimize post-LOI contingencies, and support cleaner transaction closings.
The AJA platform is not static. As the platform processes more financial data across more industries and business structures, the frameworks, taxonomies, and classification logic that underpin the diagnostics become more refined and more precise. This is a structural advantage of building infrastructure rather than point solutions.
The library of known financial statement discrepancy patterns — misclassification types, reconciliation failure modes, EBITDA normalization edge cases — expands and becomes more structured over time, improving detection coverage and diagnostic precision.
Expense categorization rules are continuously reviewed against IRS standards, industry practice, and real-world edge cases encountered in platform use. The result is categorization logic that becomes more accurate and more defensible over time.
Different industries carry different financial statement structures, cost profiles, and normalization conventions. As the platform processes data across industry segments, industry-specific mapping frameworks become more developed and more nuanced.
The financial normalization methodology — how EBITDA add-backs are documented, how owner compensation is adjusted, how non-recurring items are classified — becomes more formally structured and consistently applied as the process matures.
AJA's financial intelligence infrastructure is one layer of a broader enterprise platform. Consulting Opportunity Holdings LLC delivers six service verticals across U.S. and India delivery centers.
Strategic advisory and operational transformation for mid-market companies.
View at COH →Browser-based, no signup required, no backend data retention. Run your EBITDA diagnostic in minutes — the first step in structured financial validation.