AI Recruiting Agent
Runs the hiring loop from application intake to manager handoff
Hiring usually breaks between stages, not inside them: an application nobody read, a candidate nobody answered, an interview nobody booked. The recruiting agent connects those stages and keeps every candidate on a visible track — while judging people and making the offer stay human work.
A recruiting agent that covers the full lane: application intake, screening and ranking, candidate outreach, interview coordination, and status updates — while the hiring decision always stays with a human.
New to the concept? Read what an AI agent is, or see how an agent is built, and compare it with the rest of the AI HR Agents.
The problem it solves
Recruiters face a flood of CVs per role; good candidates often get lost or replied to too late.
The pain is in the basics: initial criteria check, screening questions, interview scheduling — all automatable without hurting selection quality.
A recruitment AI Agent ingests applications, checks core criteria, asks short screening questions, and books only qualified candidates for a human interview.
How it works, step by step
- 1Receives CVs from channels (site, LinkedIn, email).
- 2Extracts basics and matches them against role criteria.
- 3Asks 3–5 targeted screening questions via WhatsApp or email.
- 4Scores the candidate per the agreed criteria weights.
- 5Sends respectful rejections to non-fits (good applicant experience).
- 6Books interviews for qualified candidates with the hiring manager.
- 7Stores everything in your ATS or unified sheet with a summary.
What it does
- Collects applications from email and forms and normalises the data
- Screens CVs against the role requirements and ranks them with written reasoning
- Reaches out to matching candidates and collects the key answers
- Coordinates interview slots against the hiring team's calendar
- Updates each candidate's status and briefs the manager before the interview
- Sends respectful responses to candidates who do not move forward
Ideal for
- Companies hiring continuously
- Small HR teams
- Recruitment and staffing firms
Use cases
- A single role receiving hundreds of applications
- Shortening the time between application and first contact
- Standardising screening criteria across recruiters
- Tracking every candidate's stage without a manual spreadsheet
What we need from you
- Job description and must-have criteria
- Interview team calendar
- Message templates
- Candidate privacy policy
Channels
Meets candidates on the channel that fits them: WhatsApp for speed, email for formal, the website for first application.
Integrations
Examples (Workable, Greenhouse, LinkedIn, Calendly, Google Calendar) — pick integrations based on your stack.
Expected outcomes
- Faster candidate response times
- One reviewable screening standard
- A human hiring decision backed by a clear brief
Sample conversations
Frequently asked questions
Does it work on WhatsApp and the website at the same time?+
Yes — the assistant runs on the channels where you actually meet customers (WhatsApp, website, Instagram, email) with the same tone and logic, keeping conversation context across them.
How long does setup and launch take?+
Usually days to weeks rather than months, depending on customisation depth and integrations. We start with a clear scope, then expand gradually.
Can it integrate with our CRM or existing tools?+
Yes — we connect it to whatever CRM you use (HubSpot, Salesforce, Zoho, or even Google Sheets) and other tools during implementation, based on your actual needs.
When does it escalate to a human?+
Per the rules we agree on: ready-to-buy lead, special request, sensitive complaint, or anything outside the knowledge base. The final decision always stays with a human.
How is it different from a traditional rule-based bot?+
A traditional bot replies with rigid templates to specific keywords. Our intelligent assistant understands natural language and intent, grounding answers in your knowledge base with real logic and your brand tone.
Does it support Arabic and English?+
Yes — it replies in the customer's language automatically with a consistent professional tone, not raw machine translation but a natural style for each language.
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