Detect & Explain
FinArc analyzes actuals, budgets, and operational data to identify material variances, trace their financial drivers, and separate supported facts from possible explanations.
What FinArc Does
Investigate Missing Context
When the data cannot explain why something happened, FinArc identifies what is missing and drafts targeted questions for the people closest to the business.
Generate Trusted Reports
Stakeholder responses and source data become traceable evidence for variance commentary, management reports, and board-ready reporting packages.
About FinArc
Financial dashboards show what happened. FinArc helps determine why. The reporting bottleneck often begins after a variance is identified, when analysts must investigate causes, contact stakeholders, collect explanations, and turn scattered context into trusted commentary.
FinArc is an AI Financial Reporting & Investigation Agent designed to support that entire workflow. It classifies findings as facts, evidence-supported inferences, or missing context; routes questions to stakeholders; and keeps each explanation traceable to its source.
FinArc was founded by Chloe Chu, a Canadian CPA with over eight years of experience across public practice, real estate investment, and consulting. Chloe has led financial reporting and operations across Canada, the U.S., Belgium, and Singapore, and is advancing her artificial intelligence expertise through studies at the University of Pennsylvania.
FinArc is currently in development. We are beginning with recurring management-reporting workflows and working with finance teams to shape the pilot product.