Agent 01
Talent Discovery Agent
Supports talent discovery work by surfacing candidate information relevant to the defined role.
Human review remains decisiveAreeva platform
Every module contributes to the hiring signal.
From Smart JD Creator to Trust + Verification, Areeva connects the evidence produced across recruitment and returns it to the people responsible for the decision.
From data to decisionRole · Candidate · Assessment · Signal · Verification
01Smart JD Creator
Start with a clear role definition, then carry that context into the recruiting work and review that follow.
Explore this capability 02AI Candidate IntelligenceBring structured skills, experience and fit information into a role-aware context for recruiter review.
Explore this capability 03Voice + Video AssessmentsBring voice and video assessments into a structured review process that preserves hiring-team judgment.
Explore this capability 04Fit Signal EngineBring fit, confidence and trust signals into a shared context for responsible recruiter and hiring-team review.
Explore this capability 05Trust + Verification LayerBring verification activity into a visible, reviewable part of the hiring process.
Explore this capabilityModule 01
Smart JD Creator
Start with a clear role definition, then carry that context into the recruiting work and review that follow.
Smart JD Creator turns a plain-language hiring need into a structured role definition that can calibrate downstream screening and assessment.
What it brings into the flow
Plain-language role input
Begin with the hiring need described in the language a team already uses.
Structured job description
Create a structured role description as a shared starting point for the process.
Skills taxonomy
Bring explicit skills context into the role definition and downstream review.
Seniority calibration
Support a clearer discussion of the role level a team is seeking.
Assessment weighting suggestions
Provide a starting point for teams to consider the assessment emphasis appropriate to a role.
Module 02
AI Candidate Intelligence
Bring structured skills, experience and fit information into a role-aware context for recruiter review.
AI Candidate Intelligence shifts the work from reading CVs in isolation toward reviewing role-relevant skills, experience and fit signals.
What it brings into the flow
Structured skills
Surface skills information in a form that can be considered against the defined role.
Experience signals
Bring relevant experience information into the recruiter’s review context.
Fit signals
Present fit-related information as an input for a team to inspect and discuss.
Candidate surfacing
Help teams focus their review on candidates and information relevant to the role.
Human decisioning
Keep any signal or score as input to human review, never as the final hiring decision.
Module 03
Voice + Video Assessments
Bring voice and video assessments into a structured review process that preserves hiring-team judgment.
Voice and video assessments create structured outputs that give reviewers more consistent evidence without converting an assessment into an automated hiring decision.
What it brings into the flow
Voice and video stages
Support assessment stages that use voice or video where a team chooses them.
Structured outputs
Present assessment information in a more structured form for reviewer consideration.
Response review
Give the hiring team a context in which to examine assessment responses and evidence.
Role-relevant criteria
Connect assessment review to the role context and criteria selected by the hiring team.
Human decisioning
Keep interpretation and hiring decisions with the people responsible for them.
Module 04
Fit Signal Engine
Bring fit, confidence and trust signals into a shared context for responsible recruiter and hiring-team review.
The Fit Signal Engine brings fit, confidence and trust information together as a multi-dimensional input to responsible human review.
What it brings into the flow
Fit signal
Present fit-related information as one input to a team’s decision process.
Confidence signal
Make confidence-related information available for responsible human review.
Trust signal
Bring trust-related information into the wider candidate and verification context.
Multi-signal context
Consider fit, confidence and trust signals alongside the evidence and judgment a team brings.
Human decisioning
Keep the final decision with the people accountable for the hire.
Module 05
Trust + Verification Layer
Bring verification activity into a visible, reviewable part of the hiring process.
The Trust + Verification Layer connects configured checks to the wider candidate context and routes incomplete or conflicting information to people.
What it brings into the flow
Background-check coordination
Coordinate relevant background-check activity where it is configured for a customer process.
Employment-history review
Support review of employment-history information where a customer’s process requires it.
Verification context
Keep relevant verification information connected to the role and candidate context.
Configured requirements
Reflect the verification requirements selected for a customer’s particular process.
Human exception review
Route incomplete, conflicting or exceptional information to the people responsible for review.
AI hiring agents
Specialised agents advance the work between each review point.
Five specialised Areeva hiring agents support discovery, CV intelligence, assessment, fit signals and trust. They advance defined recruitment work while accountable people decide what happens next.
Agent 02
CV Intelligence Agent
Structures skills and experience information so recruiters can review it in the context of the role.
Human review remains decisiveAgent 03
Assessment Agent
Supports structured voice and video assessment stages and prepares outputs for human review.
Human review remains decisiveAgent 04
Fit Signal Agent
Brings role, candidate and assessment context together as decision-supporting fit signals.
Human review remains decisiveAgent 05
Trust Agent
Connects configured verification activity and unresolved exceptions to the wider candidate context.
Human review remains decisiveOne connected signal pipeline
Every stage builds on the context created before it.
Role criteria, candidate evidence, assessment outputs, fit signals and verification are easier to review when they do not live as disconnected events.
Hiring needStructured roleCandidate signalsFit and trustHuman decision
See Areeva in your workflow
See the complete signal pipeline on a live role.
Use a 30-minute walkthrough to explore the connected modules, your review points and the implementation questions behind your hiring workflow.