Most organizations’ financial reporting will be affected by the changes to IFRS 16 Leases and ASC 842 Lease Accounting. Organizations should start assessing the impact of the new standards’ adoption and the consequences these changes may have on the balance sheet.
Implementing the new lease accounting standards will likely require significant resources that have the appropriate skills to undertake the manual exercise of identifying affected leases and then understand the accounting implications of the new standards.
With the assistance of our lease accounting tool suite, we can help organizations understand the outcomes, compliance requirements, costs and risks associated with adopting the new standards. Our tools can help collect, sort and analyze lease data to support your preparations for this accounting change.
EY Lease Reviewer leverages artificial intelligence (AI) or machine learning to complement our suite of technologies for lease accounting. The tool can help improve the efficiency and accuracy in assessing large numbers of lease contracts.
How ready are you?
Do you have visibility over all your lease agreements, from machinery and real estate to office equipment and vehicles? Are these leases held in a central repository? Do you have all the data captured to apply the standards?
Between now and the effective date of the standards, much preparation will likely need to take place. This means identifying the types of arrangements that could be in the scope of the new lease standards and understanding how you should account for and manage your leases in the future.
How EY can help
Our multidisciplinary teams of accounting, tax, corporate real estate, systems and IT professionals can assist in assessing what the new leases standards may mean for you. We can work with your project teams to develop a customized approach that draws on our experience and considers common challenges and ways to overcome them.
The analysis and review of contracts tend to be resource intensive activities that are currently performed manually on large amounts of contracts with related risk of human error, inconsistencies, impact on employee morale and inefficiencies. Our teams can support you as you perform a contract analysis using a suite of tools we have developed to search structured and unstructured data, sort the data by common characteristics and help assess the impact of the new lease standards. Using AI methods to improve efficiency and quality, the classification and extraction of lease data attributes from contracts is typically performed in four steps:
- Digitalize contracts
- Identify relevant clauses
- Extract data