Trust controls for recruiter-approved AI workflows.
For HR, staffing, and enterprise TA teams, trust starts with knowing what AI can prepare, what a human must approve, and what gets logged.
Trust pillars.
Explainable candidate fit score
Every score shows skills, experience, compliance, location, missing evidence, and the next recruiter review step. No score ships without context.
See candidate fit scoring →Recruiter approval gates
Human review gates cover job order intake, outreach, shortlist, submission, and other consequential recruiting actions.
Customer data separation
Tenant-aware authorization keeps customer records scoped to the authenticated workspace and role.
Human oversight posture
Kempian is designed to support human oversight for AI-assisted employment workflows where judgement and accountability matter.
Decision history
Important actions record recruiter ID, timestamp, fit score seen, decision, and override reasoning for operational review.
AWS-hosted, single-region
All data resides in AWS us-east-1. No cross-tenant model training. No customer data used for AI improvement without explicit agreement.
What AI prepares vs. what humans approve.
Kempian AI prepares recruiting work. It does not autonomously make candidate, outreach, submission, or hiring decisions. Every consequential action requires a visible human confirmation step.
Governance FAQ.
Does Kempian train its AI on my candidate data?
No. Customer data is not used to train or improve the shared AI model. AI scoring uses the Claude API with prompts constructed from your workflow data. Your data is not retained by the model.
What data does Kempian store and where?
Candidate profiles, requisitions, outreach records, and compliance logs are stored in AWS DynamoDB in us-east-1. Talent profile files in S3. All storage is scoped to your tenant.
How does Kempian handle GDPR data subject rights?
Kempian provides controls for data access, deletion, and export at the tenant level. Candidate opt-out records are maintained and enforced before any outreach step. Contact your account team for a data processing agreement.
Can a recruiter override an AI recommendation?
Yes, always. Override capability is a core requirement. Every human review gate includes a reject or hold option with a mandatory reason field for the audit trail.
How is the candidate fit score calculated?
The fit score uses named factor groups such as skills, experience, compliance, location, and role-specific signals. It explains what contributed to the score, what is missing, and what recruiters should verify before acting. It does not infer demographic data.
Need a full trust review?
We provide security posture documentation, data processing agreements, and architecture review calls for enterprise procurement.