The presentation was divided into two parts:
- Deep Tax Overview:
- We highlighted the capabilities of Deep Tax, showcasing how its use of advanced AI technology and highly efficient algorithms has identified millions of pounds in tax savings. We emphasised that Deep Tax is neither reliant on machine learning nor a ‘black box’ solution, ensuring full transparency in its decision-making.
- Case Study Highlights:
- Alex Clayton, Group Tax Manager at Bioenergy Infrastructure Group, shared insights from a recent case study where Deep Tax was applied to an exceptionally complex dataset. The results were remarkable, demonstrating Deep Tax’s ability to handle intricate scenarios with precision and efficiency
Exceptional Results with Deep Tax for the Bioenergy Infrastructure Group
Deep Tax was tested using three years of forecast data for the Bioenergy Infrastructure Group, with data seamlessly imported from Alphatax.
The group, comprising approximately 20 companies, presented extreme complexity, including:
- Multiple groups for group relief
- Multiple groups for CIR
Multiple groups for group deductions allowance - Loss relief for pre- and post-March 2017 losses
- High value capital allowances
- Thin capitalisation and anti-hybrid adjustments
- Non-coterminous AP’s
- Group relief for current and brought-forward losses
The results? Outstanding.
The outputs were rigorously reviewed, with all decisions made by Deep Tax replicated in market-leading CT software. The results from Deep Tax were an exact match to those generated by the CT software, validating its precision and reliability.
Alex Clayton
Group Tax Manager
I was looking for a tool capable of forecasting cash taxes for large groups of companies across multiple years. It needed to be sophisticated enough to manage:
⦁ Multiple group relief groups
⦁ Multiple CIR groups
⦁ Thin cap and anti-hybrid adjustments
⦁ High value capital allowances
⦁ Non-coterminous AP’s”
Alex Clayton
Group Tax Manager
“In our use of Deep Tax, I was extremely impressed it handled our group’s complexities and proposed an optimised mix of claims and reliefs.
In my review of the results, I did not discover any instances where a “wrong” decision had been made by Deep Tax.
Overall, Deep Tax offered us a powerful solution within a complex group with very impressive capability and results.”
