Harness the Power of Generative AI

Award-winning Alphatax Data Mapping streamlines your compliance data
management process

Use generative AI to effortlessly upload trial balance data into P&Ls, DPLs, and apply tax treatments

Alphatax Data Mapping Is Our Smarter Solution for Data Management

Mitigate Risk

Automation reduces risk of human error. Data is stored securely in the UK within the Tax Systems Microsoft Azure environment.

Create Opportunities

Streamline and standardise your compliance data management process to increase efficiency and save time.

Generate Insights

Alphamap enables tax teams to focus on analysing data and generating valuable business insights.

Revolutionise your tax processes with a compliance co-pilot

Alphatax Data Mapping elevates Alphatax Corporate Tax users from a data input role to a tax analyst. This frees up tax professionals to focus on higher-value tasks such as business partnering and data insights.

Seamlessly integrates with Alphatax Corporate Tax to automate trial balance mapping.
Reduces the time taken to map and upload trial balances by up to 80%.
Populates your P&L & DPL with 90%+ accuracy and automatically applies tax treatments for your team’s review.
Unique ability to incorporate your specific business context helps ensure high quality results.
Alphatax Data Mapping uses a secure, encrypted web browser connection to protect your information as it is uploaded.
A full record of the data imported is created within the computation and allows data to be traced back to source, with full drill back from a consolidated figure in Alphatax Corporate Tax to the individual account code line items.

How Alphatax Data Mapping helped Lewis Golden solve decades-old problem in data entry

Using generative AI and technology to prepare data for corporation tax computations.

Let's talk!

Leave your details below and we’ll give you a call. We’d also be delighted to show you a demo of Alphatax Data Mapping, which can, if you wish, use your own trial balance descriptions. Just tick the box below.

Alphatax Data Mapping FAQs

1. What is Alphatax Data Mapping?

Alphatax Data Mapping is our new solution for data management – it uses generative AI to effortlessly upload trial balance data into P&Ls, DPLs, and prepares initial tax treatments for review.

2. How does it work?

We have taken advantage of the powerful capabilities of generative-AI technology. All mappings within Alphamap use generative-AI and a custom-built logic to ensure a high a quality of accuracy when mapping your data. We’ve taken a unique approach to how we use generative-AI, via a set of underlying strategies which give consistent and accurate results.

3. Does it integrate with other software, or just Alphatax Corporate Tax?

Alphatax Data Mapping is designed to integrate with Alphatax Corporate Tax, it does not integrate with other applications.

4. Can we add logic in like “all codes 4XXX are Turnover, 5XXX are Cost of sales." Etc?

Yes! We have added a new context window that allows users to type in context about their account codes and descriptions, which will then apply mapping rules to the data for you.

5. Does the model learn from our corrections? Do we get our own model that learns?

No, you won’t get your own model, which means Alphatax Data Mapping won’t learn from your organisation’s specific corrections.

We collect feedback from across our entire customer base, anonymously, on what corrections are being made. We then train Alphamap on that cumulative data, continuously, which will improve the accuracy of the results.

We don’t give each customer their own model because if we allow the model to continue to train without careful supervision / curation we would see the results getting worse over time in many instances. We (Tax Systems) take on the responsibility of training the model, so we can ensure the best results possible.

6. Does our data get used to train central AI models like OpenAI or Microsoft?

No, we use Microsoft Azure OpenAI Services, which ensures that the data only remains within the Alphatax tenant and does not train any central models. Please see our data privacy policy for more details