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    المالية
    19980

    Using AI in Finance Operations and Budgeting

    26-10-2025 To 30-10-2025
    Kuwait
    finance and accounting

    A practical, tool-agnostic program that connects AI (LLMs/copilots, machine learning, automation) to core finance processes: Procure-to-Pay (P2P), Order-to-Cash (O2C), Record-to-Report (R2R), and FP&A. Participants build prompt workflows, automate reconciliations, design driver-based budgets, run scenario analyses, and implement governance for safe, auditable AI use.

    Date :
    From 26 Till 30 Oct. 2025
    City :
    Kuwait
    Fees :
    4300
    • Date City Fees
    Date :
    From 26 Till 30 Oct. 2025
    City :
    Kuwait
    Fees :
    4300
    • Date City Fees

    Overview

    Enable finance leaders to embed AI across day-to-day operations and planning—accelerating the close, improving forecast accuracy, strengthening controls, and informing better decisions.

    A practical, tool-agnostic program that connects AI (LLMs/copilots, machine learning, automation) to core finance processes: Procure-to-Pay (P2P), Order-to-Cash (O2C), Record-to-Report (R2R), and FP&A. Participants build prompt workflows, automate reconciliations, design driver-based budgets, run scenario analyses, and implement governance for safe, auditable AI use.

    Who Should Attend

    Target Group

    • Finance Managers and Controllers
    • FP&A Leaders
    • Operations Finance
    • Shared-Services and GBS Leads
    • Internal Audit/Compliance Partners
    • BI/Analytics Leads Supporting Finance
    • Identify high-value AI use-cases across P2P, O2C, R2R, and FP&A.
    • Design controlled data pipelines and automations that reduce manual effort and error.
    • Apply predictive techniques for revenue, cost, and cash-flow forecasting and rolling budgets.
    • Automate reconciliations, anomaly detection, and close activities with clear exception handling.
    • Generate management narratives and decision packs with AI while preserving traceability.
    • Establish governance: validation checks, model risk, security, KPIs, and ROI tracking.

    Target Competencies

    • Finance data literacy and AI-assisted analysis
    • Process automation and exception management
    • Driver-based planning and scenario modeling
    • Narrative reporting and decision support
    • Governance, controls, and model risk management

    AI Foundations for the Finance Function

  • Finance value chain mapping: where AI moves KPIs (speed, accuracy, cost, control)
  • Data readiness: chart of accounts, master data, posting logic, and granular drivers
  • LLMs & copilots: prompts for journals, policy lookups, variance narratives, and board packs
  • Automation patterns: RPA + AI for approvals, routing, and exceptions
  • Governance & control: human-in-the-loop, evidence, audit trail, and segregation of duties

    • Operations Automation — P2P, O2C & R2R

  • Smart capture & classification: invoices, POs, receipts (OCR + AI), 3-way match assistance
  • Cash application & collections: remittance reading, dispute clustering, dunning drafts
  • Reconciliations at scale: bank, GR/IR, sub-ledger to GL with confidence scoring
  • Close acceleration: close calendar, checklists, JE suggestions, flux analysis drafts
  • Risk & compliance: anomaly detection, duplicate payments, vendor/customer scoring

    • Contact Us

    For each learning and development project we establish strong relationships and effective communication with partners.
    Don't hesitate to contact us.