Does Kempian use customer data to train the shared AI model?

No. Customer data is not used to train or improve the shared AI model without explicit agreement.

Can a recruiter override an AI recommendation?

Yes. Override capability is required because Kempian is designed for meaningful human oversight rather than autonomous decision-making.

Does Kempian make hiring decisions?

No. Kempian supports reviewable decision workflows. Final hiring decisions remain with the employer, recruiter, or authorized reviewer.

What does the Trust Center show buyers?

It shows approval boundaries, data handling posture, audit-support records, human review controls, and what the product does not claim to decide on its own.

Does Kempian guarantee compliance?

No. Kempian supports explainable, reviewable workflows, but it does not replace legal counsel, compliance teams, or organization-specific obligations.

How are customer records isolated between tenants?

Workforce and hiring records are scoped to the authenticated tenant and configured workspace. Cross-tenant access is not part of the product model.

TRUST CENTER

Trust, transparency, and human review for AI hiring workflows.

Kempian's Trust Center explains how the platform supports human-reviewed AI workflows, tenant isolation, approval gates, data-use boundaries, and reviewable operational decisions.

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app.kempian.ai/hireflow

HireFlowTrust controls

Hiring workflow control

Review approval gates, data boundaries, and AI-prepared actions.

Workflow trailApproval queueData packageReview stateNext action

Workflow trail

Candidate shortlist prepared

Message draft prepared

Recruiter approval required

Human review logged

Approval queue

Outreach sequence batch - requires reviewer approval

Interview notes - reviewer attached

Candidate submission - approval required

Data / outreach package

Prepared by AI. Awaiting recruiter approval.

Action controls

Approve & release or request changes after reviewer inspection.

Human boundary note

AI can prepare the workflow package. A human reviewer controls candidate-facing action.

TRUST PILLARS

Trust starts with clear product boundaries.

Kempian is designed to reduce risk-language ambiguity by showing what AI can prepare, what humans must approve, and what the platform does not claim to decide.

Approval boundaries

Job order intake, shortlist approval, outreach, submission, and operational transitions remain bounded by human review.

Operator accountability

Important decisions preserve reviewer identity, action timing, notes, and override rationale.

Tenant-isolated architecture

Customer records remain scoped to the authenticated tenant and configured workspace.

Qualified technical claims

Trust language stays factual, sourced, and limited to what the live product and architecture support.

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BUYER DILIGENCE

What buyers can verify before adopting Kempian.

The Trust Center should help procurement, HR, legal, and operations teams understand the practical controls behind Kempian's AI workflows.

Human review before sensitive action

Recruiters and operators approve candidate-facing and workflow-changing actions before they move forward.

Factor-level AI Confidence

Scores expose named signals, missing evidence, and "why this?" reasoning instead of hiding behind a final rank.

Tenant-scoped records

Customer records and workflow actions remain scoped to the appropriate tenant context.

Data-use boundaries

Customer data is not used to train shared models unless explicitly agreed.

Audit-support records

Important actions preserve reviewer, timestamp, status, and workflow context.

AI limitation clarity

Kempian is decision support. It does not replace recruiter, HR, legal, compliance, or employer judgment.

HUMAN-ONLY BOUNDARY

Trust is clearer when human-only boundaries are visible.

Kempian can prepare recommendations, drafts, summaries, and workflow packages. Human reviewers still confirm, hold, reject, override, or audit the next step.

AI can prepare

Candidate fit signals

Shortlist suggestions

Missing evidence flags

Outreach drafts

Interview summaries

Workflow next-action suggestions

Human-only boundaries

Send outreach without approval

Submit a candidate autonomously

Make the hiring decision

Override policy without accountable review

Decide compliance or legal outcomes

TRUST ACROSS KEMPIAN

Trust controls follow the workflow, not just the AI model.

Kempian's trust posture is strongest when AI Confidence, approval gates, audit-support records, and human review travel across the full hiring and workforce lifecycle.

RecruitAI

Candidate fit scores include named factors, missing signals, and recruiter review before outreach.

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HireFlow

Approvals, handoffs, blocked states, and overrides stay visible as work moves between stages.

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Workforce Suite

Post-hire tasks, exceptions, timesheets, and payroll-readiness handoffs remain reviewable.

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Outreach

Candidate communication waits for approval and keeps replies connected to the candidate record.

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FAQ

Trust language should stay qualified, specific, and reviewable.

These answers are intentionally practical because buyers need clarity, not generic AI assurance language.

Review Kempian with your real buyer questions.

We can walk through AI Confidence, approval boundaries, data-use posture, human review gates, and workflow records using the questions your HR, legal, procurement, or operations team needs answered.

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