Recruitment is changing pretty quickly at the moment, and AI is a big part of that.

New tools are popping up almost daily, and things are moving fast. It can feel like everything is changing overnight. But at its core, recruitment is still the same. It’s about putting the right people together. A lot of what used to take hours, screening CVs, responding to applications, matching people to roles, can now be done much faster and, in a lot of cases, more accurately.

That said, AI isn’t here to replace recruiters (despite what LinkedIn might tell you on a daily basis). It’s there to take care of the repetitive stuff so recruiters can focus on what actually matters, people.

At Acorn by Synergie, that’s how we’re starting to approach it, focusing on how we can better support our consultants.

What This Means for Candidates

If you’re applying for jobs, AI should make things feel a bit less like shouting into the void.

We’re starting to use it to:

• Match candidates to roles based on skills and experience
• Make sure people hear about relevant opportunities quicker
• Speed up the application process

One of the biggest wins is communication. Candidates often don’t hear back simply due to volume. AI helps improve that.

What This Means For Employers

For employers, it’s all about speed and quality. AI allows us to scale and be more agile, especially when hiring demands change or volumes increase.

It supports:

• Identifying the right candidates faster
• Reducing time spent on admin and initial screening
• Using data to make better hiring decisions

It means roles get filled quicker, with better-matched candidates, and gives recruiters more time to actually speak to people and build relationships.

A big part of making this work is the data behind it.

AI is only as good as the data it’s working with. If the data isn’t right, the output won’t be either. So a lot of the effort is in making sure the data is structured properly, up to date, and actually useful. It can also help clean and improve that data over time, but it needs the right foundations to start with.

The slightly ironic thing with AI is it still needs a fair bit of effort upfront to get it working properly. It’s not plug and play. There’s work involved in setting things up, testing, and refining to make sure it actually adds value.

We’ve all got a bit excited with how easy it is now to build AI tools, but that also means we need to be careful. It’s important we get this right, making sure it’s safe, secure, compliant, and not introducing any bias.

There is a bit of a catch with all of this.

As AI becomes more widely used, we’re seeing more CVs and application answers being written by AI. Which means we’re now in a situation where AI is reviewing content that’s been created by AI.

Efficient… but not always helpful.

How We’re Approaching AI at Acorn by Synergie

We’re making real steps towards using AI more effectively, with a focus on supporting our recruiters rather than replacing them.
There’s still a long way to go, and like most businesses, nothing is ever perfect.

There’s also an element of bringing people with us on this. It’s important this is seen as support, not replacement. The goal is to make things easier and more efficient, not take away the parts people are good at.

We’ve identified some clear areas where AI can make a genuine impact, particularly around communication, screening, and reducing manual admin.

The aim isn’t to remove the human side of recruitment, it’s to support it. AI can handle the volume. Recruiters focus on the conversations, judgement, and relationships.

The Bottom Line

Do we have a long way to go? Yes.
Is it an exciting time? Also yes.
Do we need to move quickly, but safely? Definitely.

This isn’t a case of just throwing AI at something and hoping it magically fixes everything (if only it was that easy).

There’s a fair bit going on in the background to get this right, testing things, tweaking them, and figuring out which tolls to use and what actually works.

And when we do, the benefits are clear, better communication, quicker processes, and more time spent on people.