Introduction
The programme “Integrating Accounting Software with Artificial Intelligence Technologies” develops professional practice in Accounting. It connects the subject with workplace challenges by examining existing evidence and practices and choosing methods appropriate to the organization and its available resources.
The learning progresses from the accounting cycle, closing, and record quality to cash, liquidity, and working capital management, with practical work on artificial intelligence applications and controls, information systems analysis, integration, and service management, financial statement and report analysis. Participants prepare outputs to support workplace application and review the quality and results of implementation.
Learning objectives
- Process an accounting cycle and prepare adjustments supported by traceable documents in an application related to “Integrating Accounting Software with Artificial Intelligence Technologies”.
- Design an AI use case with verification criteria and human review.
- Analyze information system requirements and design acceptance, integration, and operational criteria.
- Interpret performance, financial position, and cash flows using documented analysis with clear limitations.
- Prepare a cash forecast and options for addressing liquidity and working capital gaps.
Learning areas
1. The Accounting Cycle, Closing, and Record Quality
- Trace a transaction from source document to journal entry, general ledger, and trial balance, identifying control points and approval responsibilities.
- Analyze transactions and classify accounts by their nature, checking completeness, cutoff, and correct accounting treatment.
- Prepare accounting adjustments and supporting reconciliations, documenting differences, their causes, and the parties responsible for resolving them.
- Review recognition, measurement, presentation, and disclosure requirements under the applicable accounting framework without assuming uniform requirements across countries.
- Organize the closing file with supporting documents, a timetable, and approval reviews, and prepare a register of matters requiring professional judgment. The application examines a case related to “Integrating Accounting Software with Artificial Intelligence Technologies”.
2. Artificial Intelligence Applications and Controls
- Identify a task that AI can support, and separate inputs and human decisions from outputs produced by the tool.
- Prepare suitable test data and examples while respecting confidentiality, privacy, and permissions, and use de-identified training exercise data.
- Write clear instructions covering the task, context, constraints, and output format, and compare multiple formulations using a fixed set of examples.
- Check outputs for errors, bias, and unsupported information, and identify cases that require specialist review.
- Assess the feasibility of use in terms of quality, time, cost, and risk, and document controls for approval, monitoring, and stopping when failures occur.
3. Information Systems Analysis, Integration, and Service Management
- Analyze system users, processes, and the decisions it supports, translating needs into clear functional and nonfunctional requirements.
- Model data flows, entities, relationships, and interfaces, identifying each data item's source and the party responsible for its quality and updating.
- Compare build, buy, integration, and hosting alternatives according to constraints, security, total cost, and available support capabilities.
- Design test cases covering performance, permissions, usability, and integration, and connect each test to a testable acceptance criterion.
- Prepare a transition, operations, support, change management, and backup plan, defining indicators for service availability, fault resolution, and improvement review.
4. Financial Statement and Report Analysis
- Read the relationships between the statements of financial position, performance, and cash flows and the notes, identifying the effects of accounting policies and estimates.
- Perform horizontal and vertical analysis and compare profitability, liquidity, efficiency, and leverage indicators, considering the nature and size of the business.
- Examine earnings quality, cash flows, and nonrecurring items, and identify differences between accounting results and actual liquidity.
- Test the sensitivity of results to changes in sales, costs, collections, and financing, stating the assumptions and constraints in each scenario.
- Write a financial report linking indicators to management's question and available alternatives, presenting risks and additional data needed for the decision.
5. Cash, Liquidity, and Working Capital Management
- Analyze the cash cycle from purchasing to collection, identifying the effects of inventory, receivables, and payment terms on financing needs.
- Forecast receipts and payments by maturity, and document data sources and the likelihood of delays in expected cash flows.
- Classify receivables and debt aging, track collections and settlements, and connect follow-up actions to approved authorities and policies.
- Compare options for addressing deficits or deploying surpluses according to cost, liquidity, risk, and contractual constraints requiring review.
- Test a cash stress scenario, set alert thresholds and escalation actions, and update forecasts based on actual results.
Practical outputs
- An accounting closing file, adjustments, and a record quality checklist.
- A use case brief and a test template for the quality of AI outputs.
- A requirements document, data flow map, and testing and acceptance plan.
- A comparative financial analysis report and a memo of findings and assumptions.
- A cash flow forecast and a plan to improve collections and the cash conversion cycle.
Who should attend
- Practitioners, specialists and supervisors whose work relates to the programme subject.
- Managers and teams working in accounting, according to their practical responsibilities.
- Professionals responsible for applying the outputs of “Integrating Accounting Software with Artificial Intelligence Technologies” within their organizations.
Prerequisites
- Working familiarity with the programme field and the ability to discuss a professional case or challenge.
- Confirm the suitability of your experience and any specialist prerequisites with the Union before participation.
Conclusion
The programme “Integrating Accounting Software with Artificial Intelligence Technologies” brings together concepts, case review and a practical application. Participants prepare steps that can be adapted to their responsibilities and organizational resources, with an indicator to follow application and review results after returning to work.
Participation arrangements and any special requests are specified in the confirmation issued by the Union.