AI that carries the work. People who carry the decision.

RippleHire's agents run the machinery of hiring: scheduling, screening logistics, document checks, follow-ups. Recruiters decide who moves forward. Every agent is scoped, every recommendation is explainable, every action is logged.

ISO 27001. SOC 2 Type II. GDPR. 86M+ candidates across 50+ countries.

Candidate experience (1)
Candidate experience-1

Trust is now a procurement requirement, not a values statement.

Your security review asks where the data goes. Legal asks who is accountable for a rejection. Your board asks what happens when a candidate challenges an outcome. None of those questions are answered by a page of principles.

RippleHire answers them with product behaviour you can inspect: agent permissions your admin sets, reasoning attached to every recommendation, and an exportable log of what each agent did and when. 86M+ candidates processed across 50+ countries, under controls audited to ISO 27001 and SOC 2 Type II.

Governance built into the workflow, not bolted onto it.

We draw one line and hold it: agents own coordination, people own judgment. Coordination is the logistics that consume a recruiter's day. Judgment is who advances and who gets the offer. Everything below enforces that line inside the product.

Human decision rights: Agents recommend, coordinate, and escalate. Advancing or rejecting a candidate is an action taken by a named user.
Explainable recommendations: Every match shows the criteria met, the criteria missed, and the source evidence. No unexplained scores.
Bounded agents:: Agent Builder sets what each agent can access, what it may do, and when it must hand back to a human.
Complete audit trail: Timestamped logs of agent inputs, actions, and outcomes, exportable for internal audit or regulatory review.
Sensitive attributes excluded: Gender, age, ethnicity, religion, and marital status are not inputs to matching or ranking.

Controls your admin sets. Records your auditor can read. 

Responsible AI fails when it lives in a PDF that nobody opens. In RippleHire it lives in configuration your team owns, which means the answer to "who approved this" is always a name and a timestamp.

Scope, permission, and escalation rules configured per agent in Agent Builder

Amy and the AI Voice Agent identify themselves as AI, with consent captured before recording

Recruiter overrides logged as their own events, which is what makes bias monitoring possible over time

Shield and the Document Validation Agent surface fraud and verification signals as evidence for a human, never as an automatic rejection

Candidate experience-2

It's not just about safer AI. It's about hiring you can defend.

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Faster sign-off

Security and legal get their answers before the questionnaire arrives.

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Defensible decisions

Every recommendation, override, and rejection carries its reasoning.

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Candidate confidence

Clear disclosure, and a human on the other side of the outcome.

Agentic hiring, with the guardrails in the product.

See how bounded agents, explainable recommendations, and full audit trails work across RippleHire's High-Performance AI ATS.

FAQs

1. What does Responsible AI mean at RippleHire?

Our agents handle coordination and evidence-gathering while hiring decisions stay with your recruiters. In the product that shows up as bounded agent permissions, explainable recommendations, complete audit logs, and human checkpoints you configure.

2. Does RippleHire's AI reject candidates?

No. Agents screen, verify, and rank against criteria your team defines, and show the reasoning. Advancing or rejecting a candidate is a human action recorded against a named user.

3. How does RippleHire reduce bias in AI-driven hiring?

Sensitive attributes are excluded from the features used for matching and ranking, recommendations are explainable so recruiters can see what drove them, and every override is logged so patterns can be reviewed over time.

4. Do candidates know when they are interacting with an AI?

Yes. Amy and the AI Voice Agent identify themselves as AI at the start of the interaction, and consent is captured before any recording.

5. Is our candidate data used to train AI models?

Your candidate data serves your hiring workflows. It is not used to train models shared with other customers.

6. Can we see why a candidate was recommended?

Yes. Each recommendation shows matched and unmatched criteria with source evidence, and the record is exportable for audit.

7. How does this support the EU AI Act, GDPR, and India's DPDP Act?

AI used in employment decisions carries elevated obligations under the EU AI Act, and both GDPR and DPDP give candidates rights over their data. RippleHire supports these with human oversight of decisions, explainable outputs, audit logs, consent management, and configurable retention and erasure. Compliance obligations sit with you as the employer; we provide the controls and the records.

8. Is Responsible AI a standalone module in RippleHire?

No. It is how the platform is built. Amy, Interview Copilot, the AI Voice Agent, Document Validation, Shield, and anything you build in Agent Builder run under the same controls, and none of it is purchased separately.