Every applicant screened, scored, and ranked, before you open a single resume
Screens Every Applicant Instantly
Collects the Criteria that Matter
Scores Against Your Bar
Ranks the Pipeline
Routes by Outcome
Delivers a Decision-Ready Brief
Applications sit in the queue while someone finds time to read them, and the strongest applicants take the first offer that answers.
The person running the floor is also running the inbox, applying the same qualification checklist by hand to every applicant, one at a time.
Who screens changes with the shift, so criteria are applied unevenly and qualified candidates slip through the cracks.
Applicant reaches out
A new application arrives through your web widget, SMS, or WhatsApp, or an inbound event triggers the agent to open the conversation over SMS or email.
The agent screens
Powered by the Skillset Engine, it collects your required criteria in natural dialogue — handling partial answers, wrong-field responses, and clarifications without breaking.
It scores against your criteria
The agent evaluates each applicant against the role bar you defined, pulling role rules from your Knowledge Base for consistent, objective scoring.
It ranks and tiers
Applicants are ordered by fit — strong matches at the top, possibles held, clear no-fits closed out.
It routes each outcome
Top candidates go straight to the hiring manager; the rest are handled or pooled automatically.
You get a ranked shortlist
A structured, scored brief lands in your inbox or channel of choice — you make the interview and hiring calls with full context.
| Metric | Before Automation | After (With AI Agent) |
|---|---|---|
| Applicants screened on apply | <30% | 100% |
| Time to first response to applicant | Hours–days | <1 min |
| Screening criteria captured on first contact | ~55% | 98%+ |
| Candidates lost to faster-responding employers | High | Near zero |
| Scoring consistency across shifts | Variable | Consistent |
Step 1
Open the Candidate Qualification & Ranking Agent template in the Template Center — the workflow is pre-built.
Step 2
Add what "qualified" means for the role to your Knowledge Base — the agent uses it to screen and score.
Step 3
Decide how tiers map to outcomes — who reaches the hiring manager, who holds, who's declined.
Step 4
Connect your channels and the agent starts screening and ranking every new applicant.
No. It screens, scores against your criteria, and ranks the pipeline — then routes candidates with a decision-ready brief. The interview and hiring calls stay with your team.
Every applicant is evaluated against the same criteria you define, held in your Knowledge Base. Because the agent applies them identically to everyone, scoring doesn't drift with who's on shift or how busy the day is. You set and control the criteria at all times.
The Skillset Engine handles partial answers, corrections, and wrong-field responses, and asks for clarification instead of breaking — which is what the 92% vs. 64.5% reliability gap measures.
Candidates can reach the agent on your web chat widget, SMS, or WhatsApp. Confirmations, follow-ups for missing information, and declines go out over SMS and email.
Applicant data is never used for model training. It only leaves your infrastructure to vetted sub-processors within the system — never sold or handed to unrelated third parties.