
How to Use AI for Recruiting (When You're Not an Expert)
AI makes hiring faster and better, even without technical skills. Identify your pain points, judge the systems on the right five things, and phase it in.
Remo Vloet10 min.

AI is no longer optional in recruitment. Companies that automate now hire faster and smarter. These are the 2025 trends you can't afford to ignore.
From the archive: this article covers 2025 and has not been updated to reflect the current situation.
Every December, the lists appear. ‘The 10 recruitment trends for next year!’ The problem: half are the same as last year and the other half is wishful thinking. This article is different. Here you’ll read what’s actually changing for HR professionals and recruiters in 2025, supported by what we see in the market.
No vague predictions. Concrete shifts that impact how you hire, who you hire, and how you organize your team.
In 2024, AI in recruitment was still experimental. A tool here, a pilot there. In 2025, it’s the standard for forward-thinking teams. And the difference in productivity is enormous.
What changes concretely?
AI summaries are the clearest example. After every conversation, you have a structured summary within seconds that you can share with the hiring manager. No more notes, no delays.
The result: recruiters who use AI handle 30-40% more vacancies without quality loss. That’s not hype, that’s math.
The recruiter’s role is shifting fundamentally. The administrative side, entering data, scheduling appointments, giving status updates, is increasingly automated. What remains is the strategic and human work.
The recruiter of 2025 is an advisor. Someone who advises the hiring manager on the market, coaches candidates through the process, and provides insight into what works and what doesn’t.
With CRM data entry, manual work disappears. Data is automatically validated and placed in the right fields. The recruiter now spends that time on conversations that matter.
Dashboards and reporting give you the data to fulfill your advisory role. Which sources deliver the best candidates? How long does your process take from application to offer? Where do you lose candidates?
Candidates in 2025 are better informed than ever. They Google your company, read Glassdoor reviews, check your LinkedIn activity, and ask their network. Before they ever talk to you, they’ve already formed an opinion.
What does that mean for HR professionals?
The best employer brands in 2025 aren’t the companies with the biggest marketing budget. They’re the companies with the best process.
The EU AI Act classifies AI systems for recruitment as ‘high risk.’ That has direct consequences for how you may deploy AI tools in your recruitment process.
What do you need to know as an HR professional?
Transparency is built into Simply. Every AI-generated observation is clickable and refers back to the exact moment in the conversation. So you can always demonstrate how an assessment was formed.
With enterprise-grade security (GDPR compliant, ISO-27001 certified), you meet the strictest requirements.
Gen Z is the fastest-growing group in the labor market in 2025. And their expectations differ from previous generations.
For HR professionals, this means: take a critical look at your process. How many steps does your application procedure have? How long from application to offer? How quickly do you provide feedback?
By recording conversations via omnichannel recording and having them automatically summarized, you can give feedback faster. No more waiting until all interview notes are collected.
The debate is over. Hybrid work is no longer a temporary solution, it’s the permanent reality for most knowledge workers. And that has consequences for how you recruit.
Your talent pool is larger (you can recruit outside your region), but your competition is too (companies across Europe fish in the same pool). You make the difference in the details: how good is your onboarding for remote employees? How do you ensure team cohesion? How do you manage performance remotely?
HR professionals who answer these questions well have an advantage. The rest lose new employees within the first six months.
Many organizations have diversity policies. Fewer organizations see results. The difference? Execution.
In 2025, the focus shifts from writing policies to implementing practices:
Data extraction can help objectively capture candidate information, separate from the recruiter’s subjective interpretation.
Recruitment marketing isn’t new, but in 2025 it’s maturing. HR professionals need to think like marketers: who is your audience, what’s your message, which channel works best?
Concrete tactics that work in 2025:
The ROI of recruitment marketing is measurable. What’s your cost per hire via organic versus paid? Those are the metrics HR directors want to see.
The average HR department uses between 8 and 12 different tools in 2025. The risk: tool fatigue and data silos.
The solution isn’t fewer tools, but better integration. Your ATS, your CRM, your recording tools, and your analytics need to talk to each other.
Integrations cover the tools around the conversation: Gmail, Outlook, Google Calendar, Zoom, Slack and HubSpot. Mail and meetings land on the right record without a manual export.
The other half of the answer is having fewer systems to connect. When the ATS is also where conversations, documents and reporting live, there is no second system of record to keep in step with the first.
Candidate experience is no longer an abstract concept. In 2025, more agencies are systematically measuring how candidates experience the recruitment process. Not through a post-process survey, but by analyzing concrete signals during conversations. How quickly does a recruiter respond to questions? How well does the first conversation align with the vacancy? How many steps does a candidate go through before getting clarity?
AI makes it possible to collect these data points without additional work. Conversations are analyzed for tone, pace, and content. When a candidate disengages or hesitates during a conversation, the system recognizes that pattern. This gives you as a recruiter the chance to course-correct before losing the candidate to a competitor.
Agencies that invest in candidate experience data see measurable results. Higher acceptance rates, more referrals, and stronger employer branding through word-of-mouth. It’s no longer a luxury; it’s a competitive requirement.
Alongside candidate experience data, attention to recruiter wellbeing data is also growing. How demanding is the work schedule? How many conversations per day is optimal before quality declines? AI can recognize these patterns by linking conversation data to placement outcomes. Agencies that protect their recruiters from overload retain talent and deliver better results to clients.
The combination of candidate-focused and recruiter-focused data gives agencies a complete picture of their operations. It’s no longer about isolated KPIs but about a cohesive system that enables continuous improvement. Those who invest in this now are building an organization ready for the next phase of the market.
About the author

Remo Vloet is a co-founder of Simply, the AI Operating System for recruitment agencies: inbox, meetings, sourcing, CV parsing, search and matching, documents and automation in one system. With a background in building complex software, he contributes to the technical vision behind Simply.
LinkedInArticles by Remo VloetDo the math. Count the hours your team spends on manual work (summaries, data entry, scheduling) and multiply by the hourly rate. Compare that with the tool's cost. Add the value of shorter time-to-hire. The business case is often surprisingly strong.
Yes, if you use AI tools in your hiring process. Start with an inventory: which tools do you use, how are they deployed, and can you explain how they work? Choose vendors that take transparency and compliance seriously.
Data literacy. You don't need to be a data scientist, but you must be able to read, interpret, and use data to support decisions. That's what separates an operational HR function from a strategic one.
Start small. Choose a tool that solves a concrete problem (for example, automatic conversation summaries) and prove the value. Scale from success, not from theory.

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