Daysium simplifies day counting, a crucial element in managing UK split year tax rules. The platform automates the recording of days spent in and out of the UK, integrating tailored tax rulesets directly into its system. This assists you in complying with complex tax requirements.
When you use Daysium, the system automatically logs your location data and updates your day count based on the specific rules that apply to your situation, thus eliminating the need for manual tracking. This automated process ensures that your day counting is precise and aligned with your individual requirements.
For example, if you depart from the UK on 1 July at 11:20, Daysium records your departure time and location, and logs your arrival at your destination. Such detailed and timely records can prove invaluable, especially if your tax situation is reviewed or investigated.
As the scrutiny from HMRC intensifies, particularly for HNWIs, the risk of prolonged investigations grows. Efficient and accurate record-keeping, as facilitated by Daysium, can help mitigate these risks by providing reliable and timely data.
Laura Sant, a specialist in UK tax residency, emphasises the practical benefits of using Daysium for those managing split year treatment scenarios. She notes, “Once you set up your tax residency details in Daysium, the system actively monitors your UK day count, alerting you as you approach the limit.”
She further explains how the companion app aids in effortless evidence gathering:
Daysium automatically records your physical presence, removing the need to manually create travel logs. For example, it allows you to easily record evidence on a real time basis, such as a photo of you at the Eiffel Tower when your phone says you are there.”
Laura Sant, Partner, LSR Partners LLP
Daysium also addresses specific situational needs: “If, for instance, your UK residence must remain unoccupied during the overseas part of your tax year to meet tax residency criteria, Daysium can help document that you haven’t visited your home during that period, using geolocation data.”