Resources
Practical context for signal-led recruitment.
Explore the operating ideas behind Areeva: a clearly defined role, connected candidate evidence, structured assessment and responsible human decisioning.
Why better hiring starts with a clearer role signal.
A structured role definition gives candidate intelligence, assessments and hiring-team review the same point of reference. That shared context is the foundation of Areeva’s signal-first approach.
Design a connected, accountable hiring workflow.
Map the hiring need, the evidence produced at each stage, the exceptions people must resolve and the decisions that stay with recruiters and hiring managers.
Look beyond an ATS feature checklist.
A useful evaluation asks how role context carries into candidate review, whether assessments produce usable evidence, where verification connects and how human oversight works in practice.
Topics
The ideas that connect Areeva’s five intelligence modules.
Connected hiring agents
Candidate intelligence
Voice + video assessment
Fit, confidence + trust signals
Trust + verification
Responsible AI
From Areeva
Product thinking and community conversations.
Follow Areeva on LinkedInLinkedIn update
Building a connected, human-first hiring ecosystem
Areeva’s year-in-review update looks at the direction behind its hiring technology, vendor-management and agentic AI work.
Read the updateLinkedIn update
Agentic AI for talent acquisition in the MSME sector
Areeva shares how AI-powered talent workflows can help growing organisations address skills gaps and operational friction.
Read the updateFAQs
Direct answers to the questions teams ask first.
Learn how the connected product works, where people retain control and how to continue a deeper product, implementation or trust conversation.
01What does Areeva connect?
Areeva connects role definition, candidate intelligence, voice and video assessments, fit signals and verification. The aim is to preserve context from the hiring need through to the evidence a team reviews.
02What are Areeva’s AI Hiring Agents?
The product is organised around Talent Discovery, CV Intelligence, Assessment, Fit Signal and Trust agents. Each supports a defined part of the recruitment flow while recruiters and hiring managers remain responsible for the outcome.
03Does Areeva make hiring decisions?
Areeva provides decision support. Recruiters and hiring managers remain responsible for consequential decisions, and AI-supported outputs should remain reviewable and challengeable.
04What do voice and video assessments produce?
Voice and video assessments score responses and produce structured outputs for review. Those outputs should be considered alongside the role criteria and wider candidate evidence—not treated as the hiring decision.
05How does the Fit Signal Engine work in the process?
It brings fit, confidence and trust signals into a shared review context. A signal helps a team navigate evidence; it is not a substitute for accountable human judgment.
06Can Areeva fit an existing recruitment process?
The walkthrough starts with your stages, approvals, data and governance needs. Specific integrations, providers and compatibility are confirmed during implementation discovery.
07Where can candidates make a privacy request?
Send access, amendment, erasure, restriction, portability, objection, consent-withdrawal or automated-decision questions to GDPR@areeva.ai. Areeva’s Privacy Policy explains these rights and how personal data is handled.
08Is Areeva EU AI Act compliant?
Areeva’s EU AI Act readiness framework covers risk management, data governance, documentation, transparency, human oversight and monitoring. This is not a certification or legal advice; classification and obligations depend on the system and its use.
09Where can procurement teams get security information?
Use the contact page and select Security or Procurement. The Areeva team will provide the security, hosting, retention, sub-processor and control information relevant to your review.
See Areeva in your workflow
Bring the questions behind your hiring process.
Use a live role or use case to explore the product, implementation, responsible AI and procurement considerations that matter to your team.