OVI is an AI-native applicant tracking system (ATS) at ovi-me.com. You chat with AI agents Sora and Milo to source candidates, screen CVs, and run AI voice interviews in one workflow.

How do I sign in to OVI?

Sign in to OVI at https://ovi-me.com/auth with your work email or Google account. New teams can start a free trial from the homepage.

OVI AI refers to OVI's hiring agents — Milo for CV screening and Sora for sourcing — built into the AI-native ATS so recruiting teams chat to hire instead of clicking through traditional ATS screens.

OVI is the AI-native ATS where you chat to hire. Two AI agents — Sora for sourcing and Milo for screening — find candidates, score every CV, and run AI interviews, all controlled from a single chat.

What does "chat to hire" mean?

Chat to hire is OVI's AI-native hiring workflow: instead of clicking through a traditional ATS, you describe what you need in chat and OVI's AI agents source candidates, screen applicants, run AI interviews, and send outreach for you.

What is an AI-native ATS?

An AI-native ATS is an applicant tracking system built around AI agents rather than forms and pipelines. OVI's AI chat ATS lets recruiters source, screen, interview, and follow up through conversation — the agents do the work and surface only the candidates worth meeting.

Who are Sora and Milo?

Sora is OVI's AI sourcing agent — she scans LinkedIn, the open web, and your ATS history to find best-fit candidates and reach out in your name. Milo is OVI's AI screening agent — he scores every applicant against your rubric and surfaces a ranked shortlist.

How do OVI's AI interviews work?

OVI runs async AI interviews for every shortlisted candidate and returns scores, transcripts, and recordings — so your team only meets the people worth meeting.

UAE Fintech's AI Hiring Surge: How One Dubai Startup Screened 2,000 CVs in 8 Weeks

By Chris Weinmann, Founder, OVI

Published 2026-07-13

When a Dubai-based fintech company needed to fill 40 customer success positions from a pool of more than 2,000 applicants, it faced a constraint that generic AI tools could not solve: every candidate needed fluency in both Arabic and English, and the assessment had to evaluate culturally localised situational judgement — not just language proficiency on paper.

The result? A 60% reduction in screening time and 35% faster time-to-hire, delivered in eight weeks flat (Evalufy, 2026 UAE AI Assessment Guide).

This is not an outlier. It is the new baseline for high-volume hiring in the UAE's fastest-growing sectors.

Why Bilingual AI Screening Is a UAE-Specific Imperative

The UAE's workforce is unlike any other market. Over 200 nationalities operate across a business environment where Arabic remains the language of regulation, client interaction, and cultural context — while English is the operational lingua franca of commerce and technology.

Traditional screening tools built for monolingual markets fail here. A CV keyword scan cannot assess whether a candidate can handle a customer escalation in Arabic while documenting the resolution in English. Bilingual AI assessment tools address this gap by evaluating candidates in both languages simultaneously, using culturally localised situational judgement scenarios that reflect actual workplace communication patterns in the GCC (Evalufy, 2026 UAE AI Assessment Guide).

For fintech specifically — where customer success teams handle sensitive financial queries, regulatory disclosures, and cross-border payment disputes — bilingual competency is not a nice-to-have. It is a compliance and service-delivery requirement.

The Numbers Behind UAE's AI Hiring Acceleration

The Dubai fintech case study sits within a broader national transformation. According to HireRight and YouGov research conducted across 100 UAE organisations with 100+ employees (Feb–Mar 2026):

86% of UAE employers now use AI in at least one HR function — far exceeding the global average, with only 14% of UAE organisations reporting no AI usage in HR (Zawya/HireRight/YouGov, 2026).
42% use AI for promotion decisions — the highest rate of any market surveyed, signalling that UAE employers trust AI well beyond initial screening into career-critical decisions (Zawya/HireRight/YouGov, 2026).
UAE workplace AI usage crosses 70%, placing the country in global top rankings for enterprise AI adoption (Khaleej Times, 2026).

The infrastructure investment matches the adoption numbers: HR AI budgets across the region are set to increase 10x by 2026, reflecting a shift from pilot programmes to enterprise-scale deployment (Khaleej Times, 2026).

How the Dubai Fintech Achieved 60% Screening Time Reduction

The anonymous Dubai fintech — documented in Evalufy's 2026 UAE AI Assessment Guide — deployed AI-powered assessment with native Arabic and English support across its entire customer success hiring pipeline.

The challenge: 2,000+ inbound applications for 40 positions. Manual screening at that volume, factoring in bilingual assessment, would have consumed months of recruiter time.

The approach: AI assessment tools evaluated candidates on bilingual communication competency, culturally localised situational judgement, and role-specific knowledge — all before a human recruiter reviewed a single profile.

The outcomes:

40 hires completed in 8 weeks
60% reduction in screening time
35% faster time-to-hire versus previous recruitment cycles

This pattern is replicating across UAE's high-growth sectors. Fintech leads adoption, but logistics, hospitality, energy, and government are all deploying AI assessment at comparable scale (Evalufy, 2026 UAE AI Assessment Guide).

Sector-Wide Momentum: Beyond Fintech

PeopleStrong's AI Co-Recruiter — deployed across retail, hospitality, logistics, BFSI, and government sectors in the region — reports screening time reductions of up to 80% and a 40% reduction in time-to-offer (Khaleej Times, 2026).

As Tayfun Topkoc, Head of International Operations at PeopleStrong, noted: "AI in HR is moving from simple digitisation to enterprise transformation" (Khaleej Times, 2026).

The GCC's adoption trajectory reflects a structural reality: with mega-project hiring targets, nationalisation mandates, and a hyper-competitive talent market, manual screening is no longer operationally viable at the volumes these economies demand.

What This Means for HR Leaders in the UAE

The bilingual screening use case exposes a gap that many global AI hiring tools do not address. Platforms built for English-first markets require significant adaptation to handle:

Arabic-language assessment with dialectal awareness (Gulf Arabic vs. Modern Standard Arabic)
Culturally localised situational scenarios relevant to GCC workplace norms
Compliance with UAE labour law and data protection requirements
Multi-nationality candidate pools with varying documentation standards

HR leaders evaluating AI screening for UAE operations should prioritise tools with demonstrated bilingual capability — not retrofitted translation layers — and verify that assessment validity has been established for GCC-specific roles.

Among the AI-native ATS platforms serving the UAE market, OVI (ovi-me.com) combines an AI sourcing agent (Sora) and an AI screening agent (Milo) designed for GCC hiring workflows — including high-volume bilingual role screening.

Can AI screening tools accurately assess bilingual Arabic/English proficiency?

Yes. The Dubai fintech case study demonstrated 60% screening time reduction using bilingual AI assessment with Arabic and English simultaneously (Evalufy, 2026).

How widespread is AI adoption in UAE HR functions?

86% of UAE employers use AI in at least one HR function (HireRight/YouGov, Feb–Mar 2026, n=100 UAE orgs).

Which UAE sectors are leading AI hiring adoption?

Fintech leads, followed by logistics, hospitality, energy/utilities, BFSI, and government.

What results can HR teams expect from deploying AI screening in the UAE?

60–80% screening time reduction and 35–40% faster time-to-hire. Results vary by implementation maturity.

Is AI used beyond screening in UAE organisations?

Yes. 42% of UAE employers use AI for promotion decisions — the highest rate globally (Zawya/HireRight/YouGov, 2026).