Touko Ursin

Verify Ai

AI-Powered Recruitment Verification Platform The Problem Bad hires cost U.S. companies $300 billion annually. A single senior-level mis-hire costs 6-24 months of salary in wasted compensation, lost productivity, and rehiring expenses. The crisis has intensified: job listings now receive thousands of AI-generated applications with fabricated credentials, inflated titles, and fake experience. Traditional background checks happen after hiring decisions—too late. We verify candidates before interviews, catching fraud early. The Solution An AI agent platform that automates comprehensive candidate verification between AI screening and first interviews. When candidates pass initial screening, they upload documents (CV, diplomas, pay stubs, portfolios) and grant permission for our AI to contact previous employers, managers, and colleagues. Autonomous AI Agents (Working in Parallel) Employment Verification Agent: Contacts HR at previous employers via phone/email/fax to verify dates, titles, salary, rehire eligibility. Reference Interview Agent: Conducts structured interviews with former managers and colleagues, asking behavioral questions about performance, responsibilities, and why they left. Education Verification Agent: Confirms degrees with university registrars, verifies certifications with issuing bodies, flags diploma mills. Technical Validation Agent: Analyzes GitHub (commits, code quality, contributions), reviews portfolios, validates claimed skills against actual work. Digital Footprint Agent: Cross-references LinkedIn, professional sites, publications; checks timeline consistency and employment gaps. Financial Records Agent: Validates pay stubs against claimed salary, checks W-2/1099 consistency. All interactions are recorded and archived for compliance. Real-Time Fraud Detection System immediately alerts on major red flags: Unverified degrees ("Stanford has no record of this person") Empty GitHub despite claiming "5 years Python experience" Title inflation ("Junior Analyst" claiming "Senior Director") Termination for cause disguised as voluntary departure Doctored pay stubs The Output Companies receive a comprehensive report in 3-5 days directly in their ATS: Risk Score: 🟢 Green (verified, strong) / 🟡 Yellow (verified, concerns) / 🔴 Red (fraud/major flags) Narrative Summary: "At TechCorp (2020-2022), verified as Senior Developer by HR. Former tech lead John Smith: 'Led payment infrastructure rebuild, strong Python skills, excellent collaborator but sometimes missed deadlines under pressure.' At StartupY (2018-2020), verified as Developer II—note: resume claims 'Senior' (title inflation). Manager Sarah Chen: 'Fast learner, promoted after 18 months, solid technical skills.'" Technical Validation: "GitHub shows 547 commits in claimed stack (Python, React), code quality 7/10, timeline matches employment. Claims validated." Red Flags: Title inflation detected, 8-month unexplained gap, unverified AWS certification, salary discrepancy ($140K claimed vs. $118K verified base) Custom Interview Questions: "Your tech lead mentioned deadline challenges—how do you prioritize competing urgent tasks?" / "Walk through the payment infrastructure project architecture" / "What were you doing during the 8-month gap?" Seamless Integration Plug-and-play—no migration required. One-time 5-minute setup: Connect via OAuth to existing ATS (Greenhouse, Lever, Workday, BambooHR, etc.) Add "Verification" stage between "AI Screen" and "First Interview" Enable auto-trigger or manual mode Automatic workflow: When recruiter moves candidate to verification stage, our API pulls data, emails candidate, processes verification, syncs results back. Report appears directly in candidate profile with risk badge, PDF attachment, tags, and interview questions. Pre-built connectors for Greenhouse, Lever, Workday, Ashby, iCIMS, Jobvite. Chrome extension available for platforms without APIs. Smart features: Auto-trigger verification after AI screening, bulk processing (50+ candidates overnight), Slack/email alerts for red flags, mobile-optimized reports. Business Model Pricing: $75-100 per verification ($50 for 100+/month volume). No subscriptions, pure pay-per-use. Target: Tech companies, finance, healthcare, high-volume hiring operations where bad hires are expensive. ROI: Preventing one bad senior hire ($150K+ cost) pays for 1,500-2,000 verifications. Why It Works Catches fraud before interviews, eliminating wasted recruiting time. AI agents work 24/7 at lower cost than human investigators with consistent results. Integrates seamlessly into existing workflows—companies just get better-vetted candidates showing up to interviews.