Let’s be honest—everyone’s talking about AI. But how many are actually using it well?
So, why the gap?
Reasons vary but we think we’ve boiled it down to 3 key reasons that staffing businesses are struggling with AI adoption.
But what we know from real client data and experience is that the agencies using AI smartly are placing faster, wasting less time, and winning more business. That’s no bull.
Here are just a few examples of where we’ve seen AI deliver real value in the staffing world:
One of my colleagues tells me that he loves AI as it means he will never have to write a first draft ever again. AI is helping recruiters go from blank page to polished post in seconds. It’s not Shakespeare, but it is keyword-rich, compliant content, and gets the job done faster than you can say “urgent req.”
It not only saves time but it improves consistency and quality, helping your recruiters to write more targeted and appealing content. But beware of just “generate and post”; AI content can sound generic if it is not reviewed and needs checking to avoid messaging that is tone-deaf or inappropriate.
AI-powered matching can surface top candidates in seconds, so no more teaching recruiters to write Boolean searches, no more trial-and-error, iterative shortlist refinement and a big yes to spending more time talking to those hidden-gem candidates in your database.
AI can reduce your lead time to meaningful conversations and means you can get quality candidates to your clients quicker than the competition. Ther downside? To work properly, it needs clean, structured data and we hear from our customers on a daily basis that cleaning and maintaining the CRM is a major pain point for them.
This is a really interesting one. We are all used to customer service calls being automatically recorded but most recruiters have never done this and seem to be pretty reluctant to make the change for fear of “Big Brother” listening back to their conversations.
But they’re really missing the point. If you are making calls to 5 candidates on a shortlist, you have the time for the call, typing up the notes (if you even do it), updating their records on the CRM, let alone remembering what you agreed to do next.
AI notetakers shortcut this brilliantly. For example, Kyloe AI NoteTaker (yes, we made it). captures call insights instantly, saving information to CRM fields, updating notes and summarising conversations, saving hours of admin and improving the actionable data in the CRM.
So whilst your competitors are typing up scribbled notes, you’re already sending the submission for your client.
AI can spot patterns you’d miss—like dormant candidates ready to re-engage or clients likely to convert. Imagine being able to prioritise your job orders by those you are most likely to fill? It’s nirvana for recruiters.
AI is great at analysis (let’s face it, who has time to do this every day) but the amount of data that can be processed can create its own issues. How do you cut through the noise and get to the important stuff that helps the bottom line? You need decide what matters, set up clear dashboards and get buy-in from the team.
It seems like a no-brainer, right? But so many recruitment firms are not taking advantage of AI for mundane, process driven tasks. From pre-screens to interview reminders, AI-assisted workflows free up your team to focus on what matters: people.
We already mentioned that AI adoption can feel overwhelming, there are so many tools that do different things so if you’re feeling daunted, you are definitely not alone. The good news is that don’t need to plug fully into the Matrix to succeed. Just follow these simple steps (or check out our AI Consultancy service):
Let’s be crystal clear: AI won’t replace great recruiters. But great recruiters using AI equals a new breed of super-recruiter and they’ll leave the competition in the dust.
At Kyloe, we’re not just talking about AI—we’re building it, testing it, and helping our clients use it to do what they do best: connect with people.
So this World AI Day, don’t ask, “Will AI take my job?” Instead, ask: “How can AI help me do what I love—faster, better, and with less bull?”