This article was provided by TechServe Supplier Tracker
Author: Andy Jones, CEO & Founder, Tracker
Every IT staffing firm I speak to is asking the same thing about AI. Not whether to use it. That argument is over. The question is whether it will make their recruiters better at the work that wins placements or quietly wedge a piece of software between them and the people who trust them.
My answer is that it depends entirely on what you hand over. Recruitment is still won by people. It’s the network, the way a recruiter shows up, the lunches. In IT staffing, that’s truer than most. Your hiring managers are short on time and long on opinions. Your best contractors have three other offers sitting in their inbox. And the recruiter who can tell the difference between a candidate who’s open to a move and one who’s just being polite is worth more than any tool you could buy.
So, the aim of adopting AI is a modest one: take everything else off the desk and stay out of the way. That’s what we mean at Tracker by the desk stays personal.
Start With a Test, Not a Tool
Before you switch anything on, ask one question of every AI feature. Does this give my recruiters more time with clients and candidates, or does it put distance between them?
Screening a stack of CVs overnight passes. A recruiter who arrives to find the shortlist already built has a much better conversation with the hiring manager. An automated message sent in place of the call you’d normally make to a contractor starting a new assignment does not pass, however efficient it looks on a dashboard.
Candidates notice when a machine is making decisions about them, so it pays to set practical guardrails for AI in the hiring process. Fairness is part of the relationship, too.
Hesitation Is a Good Sign
Plenty of IT firm owners tell me they’re nervous about automation, and the nervousness is usually about the same thing. They’ve spent years building relationships with their consultants and candidates, and they don’t want to hand them to a template. I’d say that instinct is worth keeping.
The line that matters is between automating the conversation and automating the reminder. A template that gets the name wrong alienates the candidate. A workflow that puts a call in a recruiter’s diary because they haven’t spoken to an active candidate in two months does the opposite. It makes the personal call happen. Same goes for clients: it’s a nudge to make contact on a personal level because you have a relationship, not a blanket “just checking in” email.
Ask Your Recruiters Where the Day Goes
The best place to begin isn’t a feature list. It’s a conversation. Sit down with your recruiters and ask where they spend most of their day, and what they’d happily never do again.
Review their KPIs too, but reports only tell you what got done, not what got in the way. The thing eating an hour every afternoon is often something no report captures: re-keying details between systems, chasing the same document twice, reformatting a CV for the fourth time that week. Some of it can be automated.
If you keep it real with them, they’ll keep it real with you. Get personal about it. Talk to them, and don’t guess.
What to Hand to AI, and What to Keep
The work worth handing over is the work nobody went into recruitment to do:
- Sorting the noise. Open a role on a job board and you’ll get a flood of applications, many of them unqualified. AI can do the first pass so your recruiters spend their time on the people worth calling.
- Formatting and summarizing. Turning a resume or CV into a clean profile and a client-ready summary.
- Scoring and ranking. Checking candidates against the job so recruiters start with a shortlist rather than a pile, and can reach the best ones first when speed matters.
- Check-ins and follow-ups. The routine “how’s the first week going?” touchpoints that matter enormously and are far too easy to let slip when the desk gets busy.
- Paperwork and reporting. Documents going out at the right status, and reports built from a plain-language request.
The work to keep is anything where trust is built or tested. The intake call where you learn what the hiring manager actually wants. The honest conversation about a counter-offer. The call that delivers bad news early. The lunch with a client you haven’t placed within a year. Knowing where the line sits between AI and automation in staffing helps, and so does understanding why recruitment process automation fails. Usually, it’s because the wrong things got automated.
The payoff is a practical one. Recruiters spend more of the day on the phone, clients hear back sooner, and candidates feel looked after rather than processed.
AI Is Only As Good As the Record Underneath It
A great deal of AI disappoints because it starts from scratch every time. It doesn’t know your client history, your past placements, or the conversation your recruiter had last Tuesday.
Mark Hodgkinson, our CTO, puts it this way: “AI is only as useful as the data underneath it. Because Tracker runs the whole lifecycle on one record, our agents start with everything the agency already knows, not a blank page.”
For an IT firm, that matters a lot. Your database is your edge: years of niche-skill candidates, contractors who’ve delivered, clients whose stack you know inside out. AI that works from that record can surface the right person for a hard-to-fill role. AI bolted on as a separate system just gives you one more place to keep up to date. Plenty of agencies are already putting an AI recruiting assistant to work on exactly this.
Keep Candidates Feeling Like People
Contract and niche IT candidates have options, and they remember how they were treated. Speed helps, but only if it doesn’t feel like a machine. The firms that get this right use automation to make sure nobody is left waiting, then follow up personally where it counts. Sound candidate engagement strategies keep people responsive without making them feel managed.
I’d also be careful at the more adventurous end of technology. Voice AI in recruitment is not a plug-and-play decision, and handing a live conversation with a candidate or client to software is a very different choice from handing it a CV to format.
Look for a Partner, Not a Vendor
When Stormie Haller, our Director of Marketing, took us back to our customers before we wrote a word of our new brand, they kept using the same word to describe us: “dependable.” They also kept saying they never wanted to feel like a number.
That tells you what to look for in an AI platform. You want a partner who’ll pick up the phone when something goes wrong, who builds for staffing rather than for everyone, and who earns your trust the way a good recruiter earns a client’s. It’s the difference between a vendor and a partner, and it’s what staffing executives say they want from their technology relationships.
A Simple Way to Roll It Out
- Start with a problem, not a tool. Don’t go buy shiny things and then hunt for something for them to do. Talk to your recruiters, find the real pain, and aim the technology at that.
- Win day one. Solve a genuine annoyance first. That’s how you earn buy-in and buy-in is what turns a purchase into something people actually use. Formatting, screening, and follow-ups are good places to begin.
- Protect the conversations. Decide which touchpoints stay human and write them down. Hiring manager intake, offers, and contractor check-ins are good candidates.
- Keep your recruiters in the loop. The people using it every day will tell you quickly whether it’s giving them time back. A change management ebook is a useful companion for this stage.
- Review it monthly. Ask recruiters what they did with the time AI gave back. If the answer is “more calls with clients and candidates,” it’s working.
Where This Leaves Your Firm
AI will take a growing share of the routine work in IT staffing. That’s good news, provided the work it takes is the work that was getting in the way of the relationships.
The tools will keep changing. The desk should stay personal.
