Is the Home Office Using AI to Decide Immigration Cases? What Every Applicant Should Know in 2026

4 days ago

7 min read

If you have an immigration or asylum application with the Home Office, there is a question worth asking that most applicants never think to: was a machine involved in your decision?

In 2026 it became clear that the Home Office is already using artificial intelligence in its casework, and that when its AI-generated summaries were checked, more than one in five failed accuracy review. Right now this is happening in asylum cases. But the bigger question, the one that affects everyone from Skilled Workers to family and settlement applicants, is simple: if AI is already shaping decisions in one part of the system, where does it go next, and what happens when it gets your case wrong?

This guide explains what is actually happening, what the official figures show, why it matters even if you are not an asylum seeker, and what to do if you think a Home Office decision does not reflect the facts of your case.

Why this matters to you, even if you are not claiming asylum

Most people reading this will be on a work, family, business, or study route, not an asylum claim. So why should it concern you?

Because asylum is simply where AI in Home Office decision-making became visible first. It is the one area where official figures, internal assessments, and parliamentary questions have forced some of the detail into the open. The tools, the error rates, and the lack of transparency we can now see in asylum casework are a preview of how the Home Office approaches automation across the board. The same department, the same culture around disclosure, and the same pressure to clear backlogs apply to every route. When a government starts using AI to speed up the part of the system with the least public scrutiny and the most vulnerable applicants, it tells you a great deal about how it will treat the rest. If you have a visa, settlement, or citizenship application, this is your early warning, not someone else’s problem.

Does the Home Office use AI in immigration and asylum applications?

Yes. The Home Office uses two AI tools in asylum casework today, both built on OpenAI’s GPT-4o model and delivered through Microsoft’s Azure platform.

The first is Asylum Case Summarisation, or ACS. It takes the transcript of an asylum interview and condenses it into a shorter summary that a caseworker then reads. It went live in April 2026.

The second is Asylum Policy Search, or APS, a chat-style tool that lets officials search country policy information. It was rolled out to all asylum decision-makers in July 2025.

So this is not a rumour or a future plan. Both tools are already in use. The original selling point was speed. The summarising tool was reported to save around 23 minutes per case, and when the pilot was praised in 2025 the then immigration minister, Angela Eagle, called it a success that could cut summarisation time by a third.

How accurate is the AI the Home Office uses?

This is where the concern sits, and the numbers tell the story.

When the AI interview summaries were spot-checked over April to July 2026, 203 summaries were examined. Of those, 45, around 22%, failed at the first stage of review, and a further 19 were flagged for additional scrutiny. More than one in five of the checked summaries did not meet the required standard.

That is worse than the earlier trial, not better. The Home Office’s own 2025 pilot evaluation had already found that around 9% of summaries were so flawed they were removed from the pilot, and that nearly a quarter of caseworkers, 23%, lacked full confidence in the tool’s output. Despite that, the system was rolled out more widely in 2026, and the error rate rose rather than fell.

There is also the question of how much is checked at all. Those 203 summaries represent only around 0.3% of the roughly 70,000 asylum cases handled in that window. The Home Office’s own data protection assessment records an average of more than 17,500 cases a month. So the 22% failure rate was found within a tiny sample, and the overwhelming majority of AI summaries are never independently checked.

How does an AI summary go wrong? In two main ways. It can leave out a detail that matters, and it can add a detail that was never said, stated as though it were fact. In any immigration or asylum case, where an outcome can turn on a single date, figure, or sequence of events, a small error in a summary can change the whole decision.

Will I be told if AI was used in my case?

No. Applicants are not told when AI has been used in their case, and they cannot see or correct the summary created from their own interview or file. A document that may shape a life-changing decision can be written by a machine, and the person it is about never gets to check whether it is accurate.

The lack of openness runs deeper. Neither tool appears on the government’s Algorithmic Transparency Recording Standard Hub, the register meant to record exactly this kind of automated tool in public services. The Information Commissioner’s Office has been looking into the Home Office’s refusal to disclose how staff are trained to use the tools. And in 2026 a minister, Anna Turley, confirmed that expert testing of the policy-search tool had stopped entirely, despite Parliament having previously been told checks were continuing.

Does AI make the final decision?

The Home Office’s position is clear and worth stating fairly: caseworkers, not machines, make every decision. The department says the tools cannot be used in isolation and do not decide claims. A human signs off on the outcome.

But there is an important distinction. A human signing a decision is not the same as a human having independently understood the case. If the summary a caseworker relies on is one of the flawed ones, the error is already built in before any human judgement begins. The tool is meant to assist, but if it quietly replaces the step where someone reads the full file carefully, the mistake travels through the whole decision unchecked. One barrister and MP who has examined this, Tony Vaughan KC, has argued that caseworkers should keep reviewing the full transcripts, not just the AI summaries, until the error rate is fixed. That recommendation is telling, because it implies the summary alone cannot yet be trusted.

Why is using AI for immigration decisions a problem?

The issue is not that AI is “bad technology.” It is that these decisions are not suited to a tool that predicts likely-sounding text without understanding what it means.

Immigration and asylum decisions are high-stakes and often hard to reverse. A wrong refusal can separate families, end someone’s right to work, derail a business, or return a person to danger. They also depend on nuance: documents read in context, credibility, financial detail that has to add up, and understanding why a person’s account or paperwork looks the way it does. A tool that smooths a case into tidy, confident prose can drop exactly the detail the outcome depends on, and a caseworker reading that clean summary has no signal that something is missing or has been invented.

It is also worth noting what happened to the promise of speed. Since the summarising tool was rolled out in April 2026, the number of initial asylum decisions made each month actually fell by around 42% compared with the year before, and the average time from interview to decision rose by about 29%. These figures do not prove the AI caused the slowdown, and the system is under many pressures. But they undercut the central claim that these tools would make the process faster and clear the backlog.

Is AI being used in other UK visa and immigration decisions?

This is the open question, and it is the one that should concern work, family, and settlement applicants most. Asylum is the area we have information about, because that use has been documented and partly disclosed. We do not have the same visibility into whether similar tools are being trialled or used in other routes. The absence of public evidence does not confirm AI is not being used elsewhere. It only means the same disclosure has not been forced. For a department whose existing tools are not even listed on the government’s own transparency register, that silence is not reassuring. If and when automation spreads to work and family casework, applicants in those routes will face exactly the same risks seen in asylum: unseen summaries, unchecked errors, and no notification.

Why should a human, not AI, decide an immigration case?

Three reasons.

Accountability. A human decision-maker can be held responsible, and the decision can be challenged, reviewed, and corrected. When responsibility is split between the Home Office, the technology provider, and the caseworker, in practice it can rest with no one.
Judgement. The cases that matter are the ambiguous ones, where the outcome turns on context and credibility. That is precisely what a summarising tool flattens.
Transparency. People are entitled to know how a decision about their life was reached. If the reasons for a refusal rest on an AI summary you were never shown and cannot correct, you cannot know what to challenge.

What should I do if I received a refusal?

Whether it is an asylum, work, family, or settlement refusal, read the decision carefully against your own record of what you submitted and said. Ask yourself:

Do the reasons accurately reflect your actual case and what you provided?
Are there details that are wrong, missing, or that you do not recognise?
Does the refusal rely on an inconsistency that was not really there, or that has a simple explanation?

These are exactly the kinds of errors a flawed summary can introduce, and exactly the kinds that can be addressed if they are caught in time. Immigration and asylum refusals carry tight deadlines for challenging them, so if something does not match your case, it is important to act quickly rather than accept it quietly. The sooner an error is spotted, the more can be done about it.

Getting help

Technology will have a role in the immigration system. Used honestly, with proper testing, genuine transparency, and a human who truly reads the case, it could help reduce the delays that cause so much harm. But speed is not progress when accuracy is the price and a person’s future is what is being processed. A faster system that is wrong more often has not solved the problem. It has scaled it.

If you have had a Home Office decision and you are not sure it fairly reflects your case, we are happy to review it with you.

Is the Home Office Using AI to Decide Immigration Cases? What Every Applicant Should Know in 2026

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