AI Agents Demo Library

Browse our library of demos and learn to automate your accounting workflows by building custom, no-code AI agents tailored to your unique close, compliance, and reporting processes.

DEmo
AI Matching Data Consolidation and Transformation Agent
Consolidates and transforms data from multiple sources, into a consistent format for matching.
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DEmo
ASC 842 Lease Agent
Creates amortization schedules for Right-of-Use (ROU) assets and lease liabilities, generating monthly journal entries for each lease.
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DEmo
Benefits AP Bill Creation Agent
Creates Intacct AP Bill upload files for WEX invoices.
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DEmo
Cash Burn Analysis Agent
Compiles and analyzes bank transaction data to calculate cash inflows, outflows, and burn rates. It categorizes transactions, reconciles balances, and generates a formatted report summarizing operating and total cash burn for review.
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DEmo
Criteria Based Sampling Agent
Splits populations into subsets based on criteria to select meaningful, risk-based samples.
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DEmo
Navan Credit Card Transactions Entry Agent
Posts credit card transactions from Navan into NetSuite via journal entries, tagging specific vendors.
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DEmo
Net Revenue by Customer Agent
Allocates revenue deductions between operational and promotional categories, calculating net revenue on a customer basis.
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DEmo
Stock-Based Compensation Allocation Agent
Allocates stock-based compensation from the Carta report to appropriate departments and subsidiaries.
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DEmo
Three Way Match Agent
Performs a three-way match between invoice reports, timesheets, and contractor rate cards to identify discrepancies and prevent overpayments.
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DEmo
User Access Review Agent
Reviews HCM and system data to identify irregularities in user access for internal control testing.
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"As an AI company, our whole team takes a first-principles approach to everything we do. We were incredibly excited about the prospect of using an AI-driven platform like FloQast Transform to internally reimagine how finance and accounting work could be performed. We actually implemented FloQast faster than we needed to just to get to the AI agents that we’re using today."

Jonathan Mears, VP of Finance,
Liquid AI
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