AI-Faked Photos Are Coming Through Claims. Here Is What Your Provider Actually Checks.

You have probably read the headlines. Insurers reporting more AI-generated damage photos, made-up witness statements, and AI-drafted invoices reaching them every month. Aviva said in June that AI-abused fraud attempts hit a record level this year. Other insurers have said the same.

If you are reading this because your car has been in a non-fault accident and someone has told you to get in touch with a credit hire provider, you probably have a very simple question. Are all these fraud checks going to slow my honest claim down? And if I hand over a load of photos, will an insurer start treating me like a suspect?

Fair question. Here is the straight answer, from the side of the desk that reviews the evidence.

Why the checks have got tighter

Two things are happening at once.

Insurers now know they cannot trust every image at face value. The tools that generate fake damage photos are cheap, fast and improving month on month. So insurers are asking sharper questions about every claim, not because they think most people are cheating, but because they cannot tell from the photo alone. That means honest claimants can find themselves asked to prove things they never used to have to prove.

Providers like us sit between you and the insurer. Our job is to give the insurer no reason to challenge an honest claim. That means we ask you for more detail than we used to ask for, but the more detail we get from you at the start, the smoother your claim runs. The extra questions are not about doubting you. They are about giving your evidence a clean audit trail so nobody down the line can raise a challenge that sticks.

What we actually check on your claim

Five things. In plain English.

We check the metadata on your photos. Every phone photo has invisible data attached to it: when it was taken, where, what device took it. AI-generated images typically have no metadata, or have metadata that does not match a normal camera signature. We do not need a fraud lab to spot this. It shows up as soon as you upload.

We check that your photos tell a story that stacks up. If you send us six photos, we look at whether they are consistent with one accident, one location, one time of day, one weather condition. Real accidents produce photos that fit together. Faked ones do not.

We cross-check what you tell us against the police report and any dashcam footage. If any of the parties involved had a dashcam, that is often the fastest way to lock down the facts. If police attended, their report is the reference point. When these all match your account, your claim moves quickly.

We check the vehicle registration against the DVLA record. We confirm the vehicle exists, is registered to who you say it is registered to, and has an MOT and insurance in place. This is a five-second check on our side.

We check the damage against the vehicle's history. If the reported damage is on a part of the car that has been repaired before, we ask about that. Not because we assume the worst, but because a defendant insurer will ask. Getting ahead of the question keeps the claim moving.

None of these checks are new. What is new is how quickly we do them and how consistently we apply them across every case. That is a direct response to the fraud environment.

The good news for honest claimants

Everything we check for is easier to satisfy when the accident is real and reported promptly. That is the honest position, and it stays true no matter how sophisticated the fake images get.

Real photos come with real metadata. Real accidents produce consistent evidence across multiple sources. Real police reports and dashcam footage line up with real witness accounts. Real vehicles exist on the DVLA record. Real damage matches real accident dynamics.

The people who lose out from the fraud environment are not honest claimants. They are the fraudsters who thought they could get away with a quick AI image. The rest of you are actually better off, because the honest evidence stands out clearly against the fake evidence, and claims that stack up move faster than they used to.

What you can do to make it easy on your own side

If you have just had a non-fault accident and you want your claim to move as fast as possible, five things.

Take your photos on the phone you always use, at the scene, on the day. Do not send them via an image compression service that strips metadata. Send them directly, ideally the same phone that took them.

Take more photos than you think you need. Wide shots. Close-ups. Photos of the other vehicle, its registration, the other driver's insurance details if you have them. Photos of the road, the traffic signals, the road markings. Photos of any witnesses' contact details if they are willing.

Get the police report reference number if the police attended. This does the audit work for you.

Check your dashcam if you have one, and preserve the footage. Do not overwrite it. If you have any doubt about how to save it, ring us and we will talk you through it.

Tell us about any previous damage to the vehicle upfront. You have nothing to hide, and the earlier we know, the easier the claim runs.

None of this is unusual. Most of it you would probably do anyway. But doing all five, at the start, on the day, is the single best way to keep your honest claim on the fast track.

The bigger point

The fraud environment has changed. The response from the industry, ours included, is to be more thorough at the start of every case, not to trust anyone less. Honest claimants who bring real evidence in real time end up with faster, cleaner claims than they used to have. The fraud environment has actually made a well-run claim easier to move, because it stands out clearly on the desk that reviews it.

If you have just been in a non-fault accident and you want to understand what your next steps look like, or you are not sure whether the other driver is admitting liability, ring us on 01606 662300. Speak to a real person. We will talk you through what happens next, what evidence to keep, and what to send us. No queue. Dedicated handler assigned the moment you call.