AI and automation

AI Candidate Scoring Engine

Rank candidates with objective, evidence-backed criteria while keeping reviewer control and bias review visible.

AI surfaceAI and automation2 workspace modesCore product surface

Back to catalog

Copilot AI recruiter
Compare the final shortlist for the platform role.
Read role brief Read 4 candidates Score evidence
CriterionAveryMina
ArchitectureExcellentExcellent
LeadershipStrongExcellent
AvailabilityExcellentExcellent
Recommend Mina first; Avery stays warm for systems depth.
Source page reference

Give recruiters a ranked view without hiding how each score was formed.

Scores are grounded in profile fields, assessments, notes, and role criteria.

  • Score role fit from structured candidate evidence
  • Show strengths, gaps, and confidence signals
  • Keep protected or irrelevant data out of scoring
  • Let reviewers override with notes and reason codes
AI Candidate Scoring Engine source page reference
Core capabilities

What the page needs to make clear.

Prioritize the right candidates while protecting review quality.

Fit dimensions

Score skills, experience, location, availability, and role criteria.

Evidence drawer

Show the source facts behind each recommendation.

Confidence flags

Call out thin or conflicting candidate data.

Bias review

Keep scoring aligned to job-related signals.

Override notes

Let reviewers correct, approve, or reject recommendations.

Exportable record

Keep score history attached to the candidate timeline.

Workflow

AI Candidate Scoring Engine flow

Teams comparing large applicant pools against structured role requirements.

Explainscore evidence
Rankcandidate pool
Reviewhuman override
Auditdecision trail
1
Define criteria

Set role requirements and score weights.

2
Normalize data

Prepare candidate profiles for fair comparison.

3
Score pool

Generate ranked candidates with evidence.

4
Review gaps

Inspect confidence, missing data, and disqualifiers.

5
Approve list

Move approved candidates to next action.

Enterprise workflow

Built for visible, controlled workflows.

Each feature page exposes the public-safe outcome, the operating controls around it, and the product route it came from.

Outcomes
  • Objective ranking
  • Evidence grounding
  • Human override
Controls
  • Human review before consequential actions
  • Evidence-backed recommendations
  • Usage and run-history visibility
  • Workspace-scoped permissions
  • Designed for review, not hidden automation
Source in the product

Generated from the app, refined for buyers.

This marketing mock keeps the feature catalog tied to Syndeo's operator navigation and workspace profiles, then translates it into public-safe product language.

Primary route/operator/candidates
Source keys
candidates, assessments, copilot
Workspace modes
Agency, Internal hiring
Routes found
3
Open product route
Related features
AI Match & RecsRank candidates against role requirements using structured profile data and transparent evidence.Copilot AI RecruiterA recruiter-side assistant that drafts outreach, recommends actions, summarizes activity, and moves work forward with approval.Voice Interview AgentAutomate first-round screening through consent-based voice interviews with transcripts and reviewer packets.

Designed to fit the larger Syndeo workflow.

Each application plugs into candidates, workspace permissions, reviews, and audit-ready history so teams can move faster without losing control.

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