Ai-in-recruitment

AI in Recruitment: Stop Guessing, Start Fixing Pain Points

“So, Vanessa… what are the best AI tools to use in recruitment?”

Every recruiter who corners me after a keynote asks this, eyes wide with curiosity. And every time, somewhere in the cloud, a tiny digital kitten sheds a synthetic tear. 🐶💻

It’s not that I don’t love the question or this industry. I’ve trained thousands of sourcers and recruiters across the globe. I’ve tested more AI tools than I can count – I reviewed 6 new AI tools last week alone, to give you an idea. But asking for “best tools” or the best AI in recruitment skips the most important step.

It’s like walking into a pharmacy and shouting, “What medicine is trending right now?” — without mentioning the pounding headache or the suspicious rash, no names mentioned.

Let’s not start with shiny tools. Let’s start with what hurts.

Why “Use Case Shopping” Misses the Mark

I get it. AI is overwhelming. Tools are launching weekly.

But when you begin with “What can AI do?”, you’re looking through someone else’s lens.

  • You borrow workflows that don’t match your bottlenecks.
  • You end up with unused subscriptions.
  • You automate the easy stuff — and ignore the real pain.

And worst of all? You delay the one thing that actually delivers results: diagnosing your process pain.

Flip the Script: Start with Pain, Not Platforms

Here’s what I tell every AI workshop attendee:

Stop devouring tools. Start mapping what sucks.

Open a whiteboard. Or a Notion doc. Or the back of your failed 2023 hiring strategy (no judgment). Make three brutally honest lists:

  • Manual Tasks: What are you still copying, pasting, or spreadsheet-wrangling?
  • Time Drains: Where do you mutter, “Surely there’s a better way”?
  • Persistent Headaches: Where are you ghosted, delayed, or stressed?

Then, and only then, ask: “Could AI actually help here?”

Boom — you’ve got your first AI roadmap. No vendor pitch required.

Your Misery-Based AI Blueprint (Because HR Loves a Framework)

Inventory Your Tasks: Track every manual action your team takes over one week. Inbox rituals included.

Rank by Misery Index: Five stars = soul-sucking. One star ⭐ = meh, but tolerable.

Assess Automate-ability: If it’s rules-based, digital, and low-risk, green light it.

Ask the “Should We?”: Could automation hurt fairness, experience, or compliance? Then pause.

Start Tiny: Pick one 5-star misery task, maybe from my free Tried & Tested List of AI Tools for Recruitment. Test/demo a tool. Measure time saved.

Iterate Ruthlessly: Swap tools. Refine prompts. Repeat with the next pain point.

Real Recruitment Pain Points, Real AI Fixes

  • 📞 Reference-Checking Roulette:
    The pain: Three hours chasing referees.
    The fix: Voice bots schedule, record, transcribe, and flag issues. Time drops to 30 minutes. (Try Reval to speed up your reference checking)
  • 📆 Interview-Scheduling Purgatory:
    The pain: Eight back-and-forth emails per candidate.
    The fix: AI scheduler proposes times, nudges responses, syncs calendars. (Think Calendy/Hubspot/Bookings)
  • 📣 Job Ad Frankenstein Syndrome:
    The pain: Briefs like “We want a JavaScript ninja who vibes with chaos.”
    The fix: Feed it to an AI trained on your tone of voice. Tweak and publish in minutes.
  • 📬 Candidate Ghosting After Interview:
    The pain: You spend days coordinating interviews, then… silence.
    The fix: AI follow-ups, nudges, and sentiment tracking to keep candidates warm.

When Not to Use AI (Yes, Really)

  • Low volume + high judgment? Keep it human.
  • Legally sensitive? Proceed with caution.
  • Opaque logic? If the vendor can’t explain it, skip it.

Rule of thumb: If it’s high risk and low volume, stay human.

Before You Buy: Ask These First ✅

Before you commit to a tool:

  • Will it save 5+ hours per week?
  • Can we monitor errors and bias?
  • Can we back out fast if it fails?

If the answer isn’t yes x3, it’s back to caffeine and spreadsheets — for now.

Fine… Here’s Your Micro List 😅

  • Resume deduplication + enrichment
  • Auto-generated candidate feedback emails (Carv does this beautifully)
  • Transcription + action-item extraction from interviews
  • Payroll anomaly detection
  • Internal mobility matchmaking (hello, skills graphs)

Show Your Work: Metrics That Matter

If you pilot an AI tool, bring receipts:

  • Time saved: “23 recruiter hours/month back”
  • Speed boost: “Time-to-offer dropped 5 days”
  • Quality uplift: “Candidate satisfaction up 12 points”
  • Cost savings: “Cost-per-hire down $2,300”

Want executive buy-in? Show them these numbers. Not dashboards — outcomes.

What Workshop Attendees Thank Me For

  • “Time-to-fill is down 16%.”
  • “Burnout is down infinite percent.”
  • “We’re finally solving the right problems.”

Because tech is an amplifier. Point it at the right issue, and the results feel borderline magical.

Your Turn: Name Your Recruiting Pain

You’ve got the blueprint. Now I want to hear from you:

  • 💬 What’s one recruiting task you secretly loathe?
  • 🤖 Have you tried an AI fix yet?
  • 😳 What’s been your biggest surprise — good or bad?

Drop a comment below. I’ll reply with either a solution or a supportive meme. Maybe both.

And if your colleague is still chanting “What are the best AI tools in Recruitment?” – send them this blog. Save a digital kitten.

Final Thought: Don’t Just Use AI. Aim It.

The future of recruitment won’t be won by whoever uses the most tools.

It’ll belong to those who diagnose, test, and iterate. Those who use AI to solve real hiring pain.

You have the context, the relationships, and the trust.

AI is just your sidekick.

So go map your misery. Point the robots at it. And then — go do the deeply human stuff nobody else can.

Explore my Online Talent Sourcing Academy to level up your skills.

FAQs: AI in Recruitment

What’s the biggest mistake recruiters make with AI?

Starting with tools instead of identifying pain points first.

Is AI safe to use for interviews and assessments?

Only if you can audit the logic and ensure compliance with local laws.

How can I prove AI is helping?

Track time savings, faster hires, and better candidate feedback scores.

Which AI tools should I try first?

Start with automation tools for scheduling, referencing, and candidate follow-up — things that drain time but don’t require judgment.

Enjoyed this blog? Read more of Rants, Blogs, here: https://www.vanessaraath.com/blog/

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