Why AI Can't Do Your Gender Pay Gap Report

More and more employers are asking whether AI can handle their gender pay gap reporting. It's a fair question - AI can draft emails, summarise contracts, even write code. Why not pay gap reports?

Here's are Bridgit’s five reasons why we believe using AI do to your pay gap reporting is a mistake.

1. Confidentiality

Tools like Claude and ChatGPT send your data outside the EU by default. Payroll data is both sensitive personal data and business-confidential information. Uploading it to a public AI tool risks a GDPR breach, and once it's out, you can't take it back.

Bridgit keeps it all local, confidential, and locked down to your business.

2. Ambiguity

Every set of guidance we've worked with has judgment calls built into it. These are decision points that require understanding what the figure is really trying to measure, and where the guidance is not prescriptive enough.

For example: in the UK, who counts as a "full-pay relevant employee" is hard for AI to distinguish. Someone on maternity leave may need excluding from the pay gap calculation but still included in the bonus calculation. In Ireland, bonuses paid in August 2025 that are for the performance period Jan – Jul do not actually get included in bonus calculations for the 2026 reporting year.

Another challenge is when you need to do anything to do with pro-rata-ing (the jury is out on what this word is, but you know what we mean!) AI is often wrong when it comes to pro-rata stuff unless you’re very specific with your prompting.

3. Complexity

Even setting legislation aside, you need to know what to give the AI in the first place. For example, which dates bonuses were paid in respect of, which pay elements to include, how to treat part-year joiners and leavers. If you already know all of that, you're most of the way to doing the report properly yourself. Most people don't, and AI won't tell you what you're missing.

4. Inaccuracy

We've lost count of the times we've had to tell AI: "No, that's not what the legislation says." Its answer is always the same: "You're right, I apologise, I got that wrong." Until recently, we had to tell it several times that the reporting requirement threshold for Ireland was 50 people.

That's fine when you know enough to catch it. It's a different story when you don't… the wrong answer sounds just as sure of itself as the right one. A plausible-looking figure gets believed, not because it's correct, but because nothing about it looks wrong.

5. Accountability

Every figure we produce is defensible if you're ever questioned on it… we can walk you through exactly how we got there and why. More importantly, we help you understand what's actually driving your gap, so you can explain it and act on it, not just publish it.

What you actually pay for

Beyond mitigating these risks, working with Bridgit saves you time, money, and headspace elsewhere too. We hand over a branded, publication-ready report you can put straight on your website - no design team required. And you get consistency: the same methodology year on year, proper benchmarking, and someone who can stand behind every number with you if it's ever questioned.

We can't argue that AI won't give you pay gap numbers that might look right… buuut, given AI would confidently assert there are only two 'r's in the word strawberry, do you want to trust it with a figure that comes under public and legal scrutiny?