ResumeGuard

In-house recruiting

Resume integrity screening for in-house recruiting teams

In-house TA teams see AI-polished resumes and unverifiable employers in the same requisition. Manual LinkedIn skims do not scale across a week of inbound.

ResumeGuard gives recruiters a consistent first pass: fabrication risk vs polish risk, dimension scores, and questions to use on the phone screen. Hiring managers still make the call.

01

Protect interviewer time

Surface timeline gaps, missing employers, and synthetic writing before you book a panel. Use flags as a review queue, not an auto-reject rule.

02

Same model in the browser and the ATS

Recruiters can try a free analysis on a suspicious PDF today. When you are ready, engineering wires the same API into Greenhouse, Lever, Workday, or an internal tool.

03

Budget that matches requisition load

No annual platform fee. Screen 10 pilots at $1.00 or hundreds at $0.35. Add a payment method when the team is ready — not after a six-week vendor process.

Where it sits in a TA funnel

  1. 01Application received
  2. 02ResumeGuard integrity screen (automated or recruiter-initiated)
  3. 03Phone screen using generated questions on flagged claims
  4. 04On-site / hiring-manager interviews
  5. 05Offer-stage verification your company already runs

FAQ

Common questions

Who on the TA team should own this?

Usually the recruiter or coordinator who does first-pass resume review. Sourcers can run a free check on inbound PDFs. Admins add billing and API keys when you move off the browser.

Will this bias candidates?

ResumeGuard scores document and claim consistency. It is not a fit-ranking or personality tool. Use it as evidence for humans to review, and follow your existing EEO process.

Can hiring managers see the report?

Yes — download or share the structured results from the dashboard, or store JSON on the candidate record via API. Contact hello@resumeguard.io if you need a walkthrough.

Still have questions? Contact hello@resumeguard.io

Start with one resume

Free browser analysis, public API docs, then pay-as-you-go when you are ready.