AI recruiting agent: save time without losing the human touch
You post a job on a Monday. By Wednesday, 40 résumés are waiting in the same inbox as customer quote requests. The manager opens them in the evening, when there’s time, and the best candidates have sometimes already accepted elsewhere. Meanwhile, people who took the time to apply are waiting for an answer. In a Quebec small business, people know each other, call back and keep their word: hiring is first a relationship, not a sorting job.
An AI recruiting agent can help you keep that human side instead of losing it. It replaces neither your judgment nor the meeting. It handles the repetitive work around it: acknowledging applications, summarizing each résumé against your criteria, suggesting interview slots and drafting replies. You free up time for what really matters: talking to candidates. And a person decides, which is also the simplest way to comply with Quebec’s Law 25.
What an AI recruiting agent actually does
After seeing AI agents welcome new employees or act as the company’s memory, we go one step earlier: before the hire. Here’s what the agent hands the manager for each application. It’s a preparation tool, not a judge.
Notice what’s deliberately missing: no score out of 10, no “rejected”. The agent compares the résumé with the criteria you wrote and tells you what it didn’t find. It even flags what shouldn’t be interpreted. An unanswered question in a résumé becomes a question to ask the person, not a reason to set them aside.
Behind every résumé, a person
In Quebec, many small businesses were built on closeness: the owner knows the staff, you hire someone you took the time to meet, and your word matters. Used badly, AI can do the opposite: automatic rejections, candidates who never hear back, decisions nobody can explain.
Used well, it serves people instead of replacing them:
- Nobody is left without news. Every application gets an acknowledgement in the applicant’s language, and a real reply approved by someone on your team.
- The time saved goes to meeting people. The hours you no longer spend opening attachments, you spend on the phone or in interviews.
- You look at the person, not a profile. The agent deliberately ignores what has nothing to do with the job, and doesn’t dig into people’s lives online.
- A decision you can explain. A person decides and can say why, which respects the candidate as much as the law.
In other words, AI takes the paperwork so you have more time for relationships. That’s the approach we recommend.
A week of hiring, with and without the agent
⏪ Before: the overflowing jobs inbox
- Résumés as attachments, mixed in with customer emails.
- Candidates left waiting for days who accept another offer.
- Criteria in the manager’s head, different from one week to the next.
- Rejections never sent, or sent to the wrong person.
⏩ After: sorting prepared, a human decision
- Every application gets a same-day acknowledgement.
- The manager reads comparable summaries based on written criteria.
- Interview slots book themselves in the calendar.
- Every reply is approved by a person before it goes out.
The golden rule: the agent prepares, a person decides
Law 25 added section 12.1 to Quebec’s private-sector privacy act. When a decision is based exclusively on automated processing, you must inform the person, explain on request the information used and the main factors, and let them submit observations to someone who can review the decision. Résumé screening done entirely by AI falls squarely within that rule.
Beyond the law, it’s a matter of respect and common sense: an AI model can reproduce biases found in its data, and a résumé holds a lot of personal information about a real person. Writing down who does what solves both problems, and keeps people where they belong: in the decision.
Who’s allowed to do what? The task split to write down before you start
| AI agent | Manager | Candidate | |
|---|---|---|---|
| Acknowledge the application | ✔ | ✋ approves the template once |
✖ |
| Summarize the résumé against written criteria | ✔ | ✋ reviews each summary |
✖ |
| Suggest interview slots | ✔ from the shared calendar |
✋ | ✔ picks a slot |
| Invite to interview | ✖ | ✔ | ✖ |
| Reject an application | ✖ only drafts the reply |
✔ decides and sends |
✖ |
| Look the person up online or on social media | ✖ never |
✋ only if relevant to the job |
✖ |
| Ask for a decision to be reviewed | ✖ | ✔ reviews |
✔ may submit observations |
✔ allowed ✋ with human approval ✖ not allowed
🚫 What the agent must never use
Age, photo, origin, exact address, family status, health, pregnancy, religion: even if this information appears in a résumé, it isn’t part of the criteria and the agent is set up to leave it out of its summaries. Résumés stay in your systems, in Canada if you choose, and aren’t used to train a public model.
Get started in a month, with a single job
Week 1: write the criteria
For a single job, list 4 to 6 criteria you can verify in a résumé (licence, availability, experience, languages). Nothing about age, origin, family or health.
Week 2: connect the acknowledgement
The agent replies to applications received through the website form or a dedicated jobs address, using an approved template.
Week 3: add the summaries
The agent prepares one summary per application. For two weeks, the manager compares them with the full résumés to make sure nothing is missed.
Week 4: interviews and replies
Interview slots are booked in the calendar; replies are drafted by the agent and approved one by one.
Every month: the check-up
Reread a few summaries at random, delete résumés according to your retention period and adjust the criteria.
The right first job is one you post often, with simple criteria: clerk, technician, attendant. Management roles remain a matter of meeting people in person: trust is built face to face. For other uses, our article on tasks to hand an AI agent safely is a good starting point.
Frequently asked questions
Q1. Is it legal in Quebec to let AI sort résumés?
Using a tool to prepare the sorting isn’t prohibited. But if a decision is based exclusively on automated processing, section 12.1 of the private-sector act (added by Law 25) requires you to inform the person no later than when you inform them of the decision and, on request, to tell them the information used, the reasons and main factors and their right to have it corrected, and to let them submit observations to someone who can review the decision. The simplest route: keep a person who truly decides.
Q2. What do we tell candidates?
One sentence in the job posting and in the acknowledgement is enough to be transparent: “An AI tool helps us summarize applications; all decisions are made by a member of our team.” Add who to contact with questions about their information.
Q3. How long should we keep résumés?
Set a period and stick to it, for example a few months after the hiring process ends, unless the person agrees that you keep their résumé for another job. The agent can remind you of deletions to do, and résumés must not be used to train a public model.
Q4. What if the agent rules out a good candidate?
In our approach, it doesn’t rule anyone out: it summarizes and flags what’s missing. That’s why the first two weeks are spent comparing its summaries with the full résumés. If a criterion is misread, we rewrite it.
At NeoTech, our AI and automation consulting service sets up this kind of agent with the tools you already use, such as Microsoft 365 (Outlook, calendar, SharePoint), and documents who has access to what.
Book a meeting to explore your AI needs
Do you hire often and your jobs inbox is overflowing? Let’s talk about your next opening: together we’ll look at what the agent can prepare to free up your time, and what should stay in your hands, starting with your relationship with candidates.
👉 Book a meeting to explore your AI needs
Call us at 438-476-2322 or email info@neotechcloudsolutions.com.
Sources
- LégisQuébec: Act respecting the protection of personal information in the private sector, section 12.1 (decision based exclusively on automated processing)
- Commission d’accès à l’information du Québec: protection of personal information
Photo: Tima Miroshnichenko, Pexels (Pexels licence).