Data Analytics, AI and Automated Financial Reporting for Asset Recovery Bodies
An automated financial reporting course for asset recovery bodies: use analytics, automation and AI to report faster, with fewer errors and stronger controls.
Course overview
Finance teams in asset recovery and asset management bodies spend much of each month copying figures between spreadsheets, reconciling by hand and rewriting the same commentary. The work is slow and error-prone, and it leaves little time for analysis. This automated financial reporting course shows how analytics, workflow automation and carefully governed AI can take on the repetitive work while keeping figures reliable.
Participants map their current reporting cycle and identify steps that can be automated. They then build automated data imports and reconciliations with Power Query, design rule-based checks that flag exceptions, and create reporting templates that refresh from source data. The course also examines robotic process automation and how generative AI can draft narrative commentary, with clear limits on what it must never do unsupervised. Controls receive close attention: change management, segregation of duties, audit trails and how auditors will test automated reports.
Participants leave with a prototype automated monthly report and a roadmap for automating their institution's reporting cycle safely.
What you will be able to do
- Map a reporting cycle and identify steps suitable for automation
- Build automated data imports and transformations with Power Query
- Automate reconciliations and exception checks
- Create reporting templates that refresh from source data
- Assess where robotic process automation adds value
- Use generative AI to draft commentary under defined controls
- Design controls and audit trails for automated reporting
- Prepare a phased automation roadmap
Who should attend
For finance managers and reporting staff in asset recovery and public institutions who want to modernise reporting. Good Excel skills are expected.
- Finance managers
- Financial reporting officers
- Management accountants
- Finance systems administrators
- Internal auditors
- Heads of finance in asset recovery agencies
- ICT staff supporting finance
Course outline
Day 1Reporting Processes and Automation Opportunities
Topics
- The monthly and annual reporting cycle
- Mapping manual steps
- Sources of reporting errors
- Automation, analytics and AI compared
- Prioritising opportunities
- Building the business case
Day 2Automated Data Preparation
Topics
- Connecting to source files and systems
- Power Query transformations
- Parameterised queries
- Handling changing file layouts
- Data validation rules
- Documenting queries
Day 3Automated Reconciliations and Exceptions
Topics
- Matching logic
- Tolerance rules
- Exception reports
- Ageing of unreconciled items
- Review and sign-off workflow
- Evidence for auditors
Day 4Robotic Process Automation and Generative AI
Topics
- What RPA can and cannot do
- Low-code workflow tools
- Generative AI for commentary drafts
- Prompting for financial narratives
- Fabrication and confidentiality risks
- Human review requirements
Day 5Controls, Audit and Roadmap
Topics
- Change management for automated reports
- Segregation of duties
- Audit trails and logs
- How auditors test automation
- Skills and roles
- Phased automation roadmap
Course outcome
Participants leave with a working automated report prototype and a controlled roadmap for modernising financial reporting.
Dates & fees
Full training calendarFees are per participant in US dollars and cover tuition, course materials and your certificate. Travel and accommodation are not included.