PlacementFlow screens every candidate in two stages: a short set of non-negotiables asked first (hard knockouts like location and right to work), then a deeper AI screen with scored questions for the candidates who pass. You stay in the loop between the stages — approving leads on real answers, not guesses.
Before any deep screening happens, the candidate answers your non-negotiables — the questions marked Ask before review in the question builder. These are asked first on every channel: WhatsApp, web chat, and the SMS-linked web form.
Non-negotiables are hard gates:
This ordering means nobody wastes time: candidates who don't meet the basics find out in about a minute, and you never review a full screening from someone who was never eligible.
For candidates arriving from outreach, their Stage 1 answers land in your review queue before deep screening continues. You approve or decline the lead based on what they actually said — current location, right to work — rather than only their sourced profile data.
Candidates who pass move into the full conversational screen:
The AI then scores the response 0–100 and attaches a recommendation.
| Score | Recommendation |
|---|---|
| 70 or above | Advance — strong fit, no critical concerns |
| 50–69 | Review — worth a look, has open questions |
| Below 50 | Reject — critical mismatches |
These are recommendations, not silent decisions. Every scored response appears in your review queue at Candidates → Screening, and you make the call. (Optional auto-advance exists for high scores, but at lower autonomy levels it always creates an approval for you first.)
If the AI can't produce a valid score (an outage, a timeout), you'll see an amber scoring unavailable warning on the response instead of a number. PlacementFlow never fabricates a score — the candidate's raw answers stay available, you can read them and decide manually, or hit Retry AI Scoring. A background job also retries failed scorings automatically.
A friendly chat — on WhatsApp or the web — that takes a few minutes, asks one question at a time, and is upfront about being an AI assistant with human recruiters reviewing every conversation.