Deep Tax - Features

Features

The AI technology used by Deep Tax is a proven and well established technique for making the "best" decisions.

A cognitive approach

There were two crucial aspects in the design:

In arriving at the solution Deep Tax must apply the considerations and objectives of a tax professional. Special algorithms that think/review/analyse/act have been written to achieve this.

The user must be able to influence the optimisation and hence the solution. This can be achieved through the use of strategies, overrides and customised objectives.

Inputs are also available to ensure statutory restrictions are recognised (e.g. where anti-avoidance provisions apply).

Validation and anomaly detection

Before the optimisation is performed a thorough validation check and search for anomalies within the input data is run.

Tax content

The coverage is comprehensive, detailed and up to date.

For example, it includes the highly complex corporate interest restriction; pre/post April 2017 loss relief; group relief for current and carried forward losses; group relief rules for non-coterminous periods; the bank loss restriction and companies with oil & gas activities.

Data import

Data can be automatically imported from Alphatax or from a customised Excel template.

Time frame

Deep Tax can be used with past, current and future periods within a single or multi-year timeframe.

Size of groups

Deep Tax can be used with small, medium and large sized groups.

Sensitivity analysis

If required, Deep Tax can automatically evaluate the impact if alternative decisions were made. This information is made available to the user.

Comparisons

The results can be automatically compared against another scenario or against existing computations.