Ishavi
Vol. I · Issue 012026
The Ishavi Edition

Hire on the record.

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The four pillars

Built so every interview survives an audit.

  1. 01

    Depth

    Five-plus levels of follow-up. Not one or two.

    Most platforms stop after a single probe. Ishavi follows the rubric like a senior interviewer: it asks again, asks differently, asks for the example, asks for the metric. The transcript shows where the candidate got specific and where they hand-waved.

  2. 02

    Fairness

    Every rating is evidence-anchored.

    No narrative-only ratings are allowed in the data model. Each score carries timestamped evidence quotes you can replay. If it is not in the transcript, it is not in the score -- the AI is a recommender, never the deciding voice.

  3. 03

    Integrity

    Knowledge probes, on by default.

    Knowledge probes, latency-loop detection, and paste signals run on every interview to surface inconsistencies. Heavier observation is opt-in per job and forcibly off in EU jurisdictions. We protect the integrity of the rubric without surveilling the honest majority.

  4. 04

    Bill of Rights

    Candidates can challenge the decision.

    Transparency, the right to appeal, human review on an SLA, data deletion, and no retaliation. Five named rights, wired into the database -- not bolted on after a compliance audit. Reviewer rotation is enforced by CHECK constraints, not policy memos.

Hiring decisions should read like court rulings — anchored to evidence, open to challenge, signed by a human. Ishavi is built so that every interview can.

The editorial position

From job post to shortlist

Three steps. No surprises.

  1. Step 01

    Recruiter posts a job

    Author the role, the rubric, and any custom prompt layers. Tenant overrides ride on top of platform defaults. Every published version is immutable and audit-logged.

  2. Step 02

    Candidate takes a voice interview

    Magic-link email, region-aware, no password to remember. The candidate joins from any browser and speaks through a structured rubric with five-plus levels of follow-up.

  3. Step 03

    AI scores with evidence, human reviews

    Every score carries a timestamped evidence quote you can replay. The AI is a recommender, never the deciding voice -- a human reviewer signs the shortlist.

The Candidate Bill of Rights

Five rights. Wired into the database.

Reviewer rotation is enforced by a CHECK constraint. Appeal SLAs are timestamps, not promises. Every transition is audit-logged with a required reason field.

  • Transparency

    Candidates see exactly what drove the recommendation: rubric scores, the AI narrative, and verbatim quotes from their interview. No black-box decision.

  • Right to appeal

    Disagree with a decision and file an appeal. A reviewer who was not part of the original call reads the evidence and either upholds, overturns, or modifies it.

  • Human review on an SLA

    Every appeal gets a reviewer assigned automatically. The default SLA is 72 hours; tenants may set a shorter one. Overdue appeals surface to operators.

  • Data deletion

    Candidates can request deletion of their record and interview audio. Audit trails are retained under GDPR carve-outs; raw audio and transcripts are purged.

  • No retaliation

    Filing an appeal does not affect any other decision, past or future. Recruiters never see whether a candidate appealed; reviewers never see prior appeal history.

Frequently asked

Questions hiring teams ask first.

  • Is the AI making hiring decisions?

    No. Ishavi produces evidence-anchored recommendations, never decisions. The IL AIVIA + GDPR Art. 22 framing is baked into the data model: a human reviewer signs every shortlist.

  • What happens if a candidate disputes the outcome?

    Candidates open an appeal from their dashboard. A different reviewer than the original decision-maker is assigned automatically; reviewer rotation is enforced in the database, not just in policy text.

  • Where is candidate data stored?

    Tenants are tagged with a region from day one. Year-1 of the platform deploys in Mumbai (ap-south-1) for Indian customers; EU and other regions land on the same residency-routing layer when demand calls for it.

  • Can we bring our own prompts and rubrics?

    Yes. A four-layer prompt composition engine -- system, industry, company, job -- lets you author overrides at any level. Every published version is immutable and audit-logged with a required reason field.

  • How is this priced?

    Region-aware plans, billed in your local currency. A free tier exists. See the pricing page for the current matrix.

Ready when you are

Run your next interview on the record.

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