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Saturday, 20 June 2026

Could AI Finally Help Reduce Bureaucracy?



Most conversations about AI focus on chatbots, content creation, or automation in the private sector.

But something interesting is starting to happen.

Governments are beginning to explore how AI might help improve public services.

Recently, the UK government announced testing of an AI system developed by Google DeepMind and Faculty AI that could help councils process householder planning applications more quickly.

According to reports, the goal is ambitious:

To potentially cut the time it takes to process certain planning applications by half.

At the same time, AI tools are also being introduced to support police investigations by helping reduce administrative workloads and speeding up parts of the investigative process.

Whether these systems ultimately succeed remains to be seen.

But the idea itself raises an interesting question.

Could AI help tackle one of the most common frustrations people have with public services?

Waiting.

Most people have experienced some form of bureaucracy.

Forms.

Applications.

Paperwork.

Approvals.

Processes that seem to take weeks or months.

In many cases, the delay isn’t caused by a lack of effort.

It’s caused by volume.

There is simply more work than people can process efficiently.

That’s where AI could potentially help.

Not by replacing professionals.

But by assisting them.

Imagine an AI system helping to:

  • organise documents
  • identify missing information
  • summarise case files
  • highlight potential issues
  • reduce repetitive administrative tasks

The human decision-maker remains involved.

But some of the routine work becomes faster.

That’s a very different use of AI from the examples we usually hear about.

It’s less about creating content.

And more about helping systems run more efficiently.

Of course, there are important questions that come with this.

If AI is involved in public services:

  • How accurate is it?
  • How transparent are its recommendations?
  • Who is accountable if mistakes occur?
  • How much human oversight should remain?

Those questions matter because public-sector decisions often affect people’s homes, businesses, finances, and daily lives.

Trust is essential.

Personally, I think this may be one of the more interesting areas of AI development.

Not because it’s flashy.

But because it focuses on something ordinary people care about.

Time.

Most people don’t wake up hoping to use more technology.

They simply want things to work.

They want applications processed.

Services delivered.

Problems resolved.

If AI can help achieve those goals while keeping humans responsible for important decisions, it may end up having a bigger impact than many of the more attention-grabbing AI headlines.

Because sometimes the most valuable technology isn’t the technology that impresses us.

It’s the technology that quietly removes frustration from everyday life.


Curious — would you be comfortable with AI helping councils and public services process applications faster, provided humans still make the final decisions?


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