AI-assisted candidate data entry, profile drafting, record updates, CV processing, and qualification extraction

The power of PCRecruiter is getting a massive upgrade: we are bringing the Model Context Protocol (MCP) directly to your recruitment database.

Every recruiter knows the hassle; you need information, a report, a change to the data, or even a complex custom workflow, and you need it quickly. Often that means having to build a search query, run an export, create a spreadsheet, develop an integration, or countless other uses of precious time you'd rather spend talking to clients and candidates.

What AI is your team actually using? And what safeguards do you have in place? I've been asking this in almost every client meeting this past month...

Most agency owners don't have a clear answer.

They know some people are using Copilot. They think a few are on Claude or Gemini. Some are using GPT for bits and pieces.

While testing AI is important, doing it live inside your business with no guardrails is a real risk.

Here's an example of what I'm seeing - A consultant using a free GPT account to write candidate profiles. Pasting in CVs, interview notes, the lot. That data is being used to train the model. It's not covered by your business privacy settings. You didn't approve it. You probably don't even know it's happening.

Getting your team using AI properly, with the right tools and clear boundaries is fundamental.

We built our Claude for Recruiters course in our Recruitment Playbook platform for exactly this.

- How to set it up safely.
- How to get consistency across your team.
- How to stop the wild west and actually get value from it.

I've popped a link in comments for anyone that is interested in taking a look. Worth a look if you want your team doing AI properly. (Especially seen as it's half price until the 31st August).

Reach out to Janette Iglesia to book in a chat if you wanted to delve into the course or the platform ;)

Recruitment Playbook - The L&D platform for Recruitment Agencies

The first conversation with a candidate shouldn't be with AI.

I use AI almost every day. It helps me research, organize information, summarize conversations, and create content more efficiently.

I also spend a lot of time helping leaders strengthen hiring, workforce planning, organizational systems, and employee experience. That’s why I care about this trend.

But asking candidates to have their first conversation with an AI interviewer is a mistake that I'm seeing many organizations make.

The interview process isn't just about evaluating a candidate. It's also your first opportunity to introduce someone to your organization, your leadership, and your culture.

What message does it send when a candidate invests the time to prepare, only to be greeted by an AI interview bot instead of a person?

I'm not suggesting that AI has no place in recruiting. AI can help screen resumes, summarize interviews, identify key qualifications, organize candidate data, and support more informed hiring decisions.

But once a candidate has made it past the initial screen and looks like a strong fit on paper, take the time to have a real conversation.

A 20-minute conversation can reveal things no AI can.

It also tells the candidate something important about the kind of organization you are.

Recruiting isn't only about selecting the right people. It's also about making the right first impression.

Don't outsource that moment.


Have you experienced an AI-led interview as a candidate or hiring manager? Would this make you more or less excited to join an organization?

I've been using Claude for a while now, and one question keeps coming up - will AI take over recruitment? 🤔

Honestly, it's a fair question. AI can parse CVs, write job ads, summarises interviews, and research companies faster than any of us.

So... are we done?

Not even close. And here's why.

Recruitment is one of the most human industries there is.

You're not just matching skills to a job spec. You're figuring out why someone really wants to leave their job. Picking up on the nerves in a candidate's voice. Knowing when a client says "culture fit" they actually mean something else entirely. Reading the room on a difficult conversation.

No algorithm does that.
That's not a skill AI has. That's a people skill.

The recruiters who'll get left behind aren't being replaced by AI, they just stopped picking up the phone.

Skynet can have the admin. The relationships are ours. 💪 🤖

#AIinRecruitment #FutureOfWork #AI #ArtificialIntelligence #Recruitment #TalentAcquisition

“We use AI, so our process is automated.”

Really???

What I see in many recruitment teams :
Copy CV → paste into ChatGPT → write prompt
Copy output → paste into Word → fix formatting

Repeat it for each candidate.

For matching?

Upload CVs → ask AI → manually decide.

That’s not automation.

That’s manual work… with AI on top.

And it creates problems:
* inconsistent outputs
* broken formatting
* different results per person
* no scalable process

Plus:
Many teams use free accounts → hit limits → slow down.

From management’s view:
“AI is being used.”

Reality:
The process is still manual.

The real shift is not using AI.

It’s structuring it:
* standardized prompts
* shared best practices
* end-to-end workflows

So everyone works the same way.

If your team is still copying, pasting, and fixing…

You’re not automating.

You’re just doing manual work… a bit faster.

AI has changed how I work, but it hasn’t changed why I work.

As a Director of Learning & Development, I’ve been intentionally experimenting with AI across recruiting, onboarding, training material creation, and enablement.

Here’s what I’ve learned so far:
-AI is great at speed, structure, ideas, and scale
-Humans are essential for context, judgment, and connection

I use AI to manage job candidate entries, draft learning content, create and organize onboarding materials, and reduce the friction that slows teams down.

But we don’t outsource:
-Interviews
-Hiring decisions
-Coaching conversations
-Culture-building moments
-The “read the room” parts of leadership

Curious how others in HR, L&D, or TA are finding that balance.