Automatically matches supplier invoices with corresponding purchase orders and goods receipts, identifying discrepancies in quantities, pricing, or missing documentation to streamline accounts payable processing and reduce manual effort.
Continuously monitors customer risk profiles using real-time data and AI algorithms, proactively recommending credit limit adjustments to minimize exposure and improve financial decision-making accuracy.
Initiates, schedules, and reconciles vendor payments by analyzing invoice due dates, early payment discount options, and available cash flow to ensure timely disbursements and maximize cost savings.
Automatically extracts, validates, and analyzes customer credit data from multiple sources to auto-approve credit limits, accelerating onboarding while ensuring compliance and minimizing manual intervention.
Uses AI-driven logic and remittance data to automatically match incoming payments to open invoices, reducing manual effort, accelerating cash posting, and improving reconciliation accuracy.
Provides real-time responses to vendor inquiries related to invoice status, payment schedules, and documentation requirements, reducing manual intervention by AP teams and enhancing supplier relationships.
Evaluates customer creditworthiness using historical payment patterns, credit bureau data, and predictive analytics to recommend appropriate credit limits and payment terms that reduce risk and improve cash flow.
Uses AI and machine learning to match incoming payments to outstanding invoices by interpreting remittance advice, payment patterns, and bank data, reducing manual effort and unapplied cash.
Assists in resolving invoice disputes by retrieving related documents, tracking dispute history, and proposing potential resolutions, thereby reducing DSO and improving customer satisfaction.
Applies appropriate revenue recognition rules based on accounting standards and contractual terms, scheduling and posting revenue systematically to ensure compliance and accurate financial reporting.
Generates and posts recurring, rule-based, or one-time journal entries with embedded approval workflows and audit trails, reducing errors and ensuring compliance with internal controls.
Automatically matches and reconciles intercompany transactions by analyzing booking discrepancies and supporting documentation, ensuring timely close and compliance with regulatory requirements.
Coordinates month-end close processes by assigning tasks, tracking completion status, and providing real-time visibility to stakeholders, ensuring faster and more efficient financial close cycles.
Leverages historical and real-time data to produce rolling forecasts with scenario modeling, enabling finance teams to make proactive decisions and adapt plans to changing market dynamics.
Builds and compares multiple budget scenarios using drivers like revenue, cost, and headcount assumptions to assess potential financial outcomes and aid strategic decision-making.
Monitors and analyzes expense data to detect anomalies, outliers, or cost spikes using statistical models and AI algorithms, helping finance teams control spending and prevent fraud.
Calculates profitability at a granular level by product, service, region, or customer using AI-driven cost allocations and revenue analysis, enabling strategic decisions to enhance margins.
Uses NLP to extract key clauses, dates, and obligations from large volumes of financial contracts, streamlining compliance, risk assessment, and data availability for finance teams.
Automatically identifies contracts nearing expiration and notifies responsible parties with sufficient lead time for renegotiation, renewal, or termination planning.
Continuously monitors financial transactions for compliance with internal policies and external regulations, using AI to flag suspicious patterns or violations for further review.
Analyzes real-time transactional data to identify irregular or potentially fraudulent activities based on predefined rules and machine learning models, alerting teams to act swiftly.
Calculates estimated tax liabilities and automates related journal entries during monthly or quarterly close cycles, ensuring accurate tax provisioning and timely reporting.
Aggregates and analyzes ESG-related financial and non-financial data to generate standardized reports aligned with regulatory requirements and stakeholder expectations.
Reviews, validates, and approves/rejects employee expense claims using policy rules, AI-based anomaly detection, and integrated receipt analysis to ensure compliance and reduce manual workload.
Uses historical cash flow patterns, real-time receivables/payables data, and predictive analytics to forecast future cash positions and support liquidity planning.
Gathers, validates, and organizes financial records, audit trails, and documentation to ensure readiness for internal or external audits, reducing preparation time and human error.
Automatically reviews contracts and billing schedules to ensure timely and accurate revenue recognition in compliance with ASC 606, IFRS 15, and other accounting standards.
Generates rolling forecasts and budgets using historical trends, real-time inputs, and scenario modeling to support strategic financial planning and business agility.
Calculates applicable taxes, applies deductions, prepares returns, and ensures timely submission across jurisdictions while maintaining compliance with local and international tax laws.
Automates reconciliation of intercompany transactions, flags mismatches in real-time, and triggers resolution workflows to ensure timely and accurate consolidated financial reporting.
Analyzes cash conversion cycles by assessing payables, receivables, and inventory to recommend optimal strategies that improve liquidity and operational efficiency.
Leverages historical and real-time data to produce rolling forecasts with scenario modeling, enabling finance teams to make proactive decisions and adapt plans to changing market dynamics.
Optimizes fund allocation, ensures liquidity across accounts, monitors banking relationships, and executes secure, low-risk investments aligned with treasury policies.
Simulates best-case, worst-case, and base-case scenarios using financial drivers and external variables to support data-driven planning and risk mitigation.
Tracks financial transactions and processes against evolving regulatory requirements like SOX, GDPR, and AML, and suggests corrective actions for compliance.
