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.

The September 16 Countdown: What UAE Financial Sector HR Teams Must Do to Bring AI Screening Into CBUAE Compliance

By Chris Weinmann, Founder, OVI

Published 2026-09-08

The clock is running. On September 16, 2026, the one-year transition period under Federal Decree-Law No. 6 of 2025 — the New CBUAE Law — expires. Every licensed financial institution (LFI) in the UAE must be fully regularized under the Central Bank's expanded governance framework by that date. Administrative fines for non-compliance reach up to AED 1 billion (Kiteworks, 2026).
Most compliance conversations focus on lending models and fraud detection. But if your bank, insurance company, exchange house, or payment service provider uses AI to screen CVs, rank candidates, or conduct automated interviews, the same governance obligations apply to those tools — and most HR teams have not yet connected the dots.

Who Is in Scope Under the New CBUAE Framework?

All CBUAE-licensed financial institutions fall within scope: banks, insurance companies, exchange houses, finance companies, and payment service providers. If your organization holds a CBUAE license, your AI-powered hiring tools are subject to the same governance framework as your credit-scoring models.
DIFC-domiciled entities face an additional layer. On April 21, 2026, the DIFC announced its evolution into the "world's first AI-Native financial centre," bringing Regulation 10 on AI under the DIFC Data Protection Law into sharper supervisory focus (Kiteworks, 2026).

What the CBUAE Guidance Note Requires — and How It Maps to HR

In February 2026, the CBUAE published its Guidance Note on Consumer Protection and Responsible Adoption of AI and Machine Learning by Licensed Financial Institutions. (Sources cite both February 11 and February 23, 2026 as the publication date; the primary CBUAE Rulebook was inaccessible for verification at the time of writing.) The Guidance Note establishes ten governance pillars. Seven map directly to HR and recruitment AI:
1. Documented AI governance framework
Every AI system — including CV screening algorithms and interview-scoring models — needs a documented governance framework proportionate to the institution's size and complexity. HR teams cannot treat hiring AI as a siloed vendor purchase; it must sit inside the institution-wide AI governance structure (Orbit/Reconn, 2026).
2. Board and senior management accountability
The Guidance Note states that "financial institutions cannot employ AI models they have no control over." Board-level oversight includes quarterly reporting and annual reporting on AI performance, risk assessments, and bias test results. If your AI screening tool produces hiring outcomes, the board is accountable for those outcomes (Orbit/Reconn, 2026).
3. Comprehensive AI model inventory
Every AI model must be catalogued with its name, purpose, risk rating, and metadata. That includes the CV-parsing model inside your ATS and the scoring algorithm behind your AI interview platform (Kiteworks — CBUAE Guidance, 2026).
4. Annual bias testing
Bias testing is mandatory annually — or after any model upgrade — using representative training data. For HR, this means testing whether your AI screening tool produces discriminatory outcomes across nationality, gender, age, or other protected characteristics (Kiteworks — CBUAE Guidance, 2026).
5. Transparency to affected parties in Arabic and English
Customers — and, by extension, candidates interacting with AI-driven processes — must receive disclosure "in plain language in both Arabic and English" about how AI is being used in decisions that affect them (Orbit/Reconn, 2026).
6. Right to request human review
The Guidance Note defines three oversight models: Human-in-the-Loop, Human-on-the-Loop, and Human-out-of-the-Loop. For high-impact decisions, individuals must have the right to request that a human reviews the AI's output. A candidate screened out by an algorithm must be able to request a human recruiter's reassessment (Orbit/Reconn, 2026).
7. Opt-out provision
Affected parties must have the option to opt out of AI-driven processes. In recruitment, this means offering an alternative application path that does not rely on AI screening (Kiteworks, 2026).

An Important Caveat: HR Is Interpretive, Not Explicit

The CBUAE Guidance Note is framed around consumer-facing financial AI — lending, insurance, fraud detection, and payment decisions. It does not explicitly name HR or recruitment AI in its scope.
However, the broader governance framework obligation under Federal Decree-Law No. 6 of 2025 requires LFIs to maintain institution-wide AI governance. HR and recruitment AI tools deployed within a licensed financial institution fall within this broader obligation. Prudent compliance teams are treating hiring AI as in-scope rather than waiting for explicit regulatory clarification — especially with AED 1 billion in potential fines on the line.

The Readiness Gap Is Stark

The numbers reveal how unprepared most institutions are. According to Kiteworks' 2026 data:

54% of boards globally lack engagement on AI governance — meaning more than half of bank boards have not begun the oversight work the CBUAE now requires.
60% of financial services organizations lack a centralized AI data gateway.
63% cannot enforce purpose limitations on AI agents — a direct conflict with the Guidance Note's data proportionality requirements.
44% of Middle East respondents experienced sovereignty-related incidents in the past 12 months, the highest rate globally.
For HR teams, these gaps translate into AI screening tools operating without documented governance, without bias-test records, and without the audit trails that CBUAE examiners will expect.

Your Seven-Step Action Checklist

HR leaders at UAE financial institutions should take these steps before September 16, 2026:

Inventory every AI tool touching hiring. List every AI-powered system used in sourcing, screening, interviewing, or candidate assessment. Include vendor-provided tools and any internally built models.
Confirm each tool is in your institution's AI model register. Work with your compliance or risk team to ensure hiring AI appears in the centralized model inventory with name, purpose, and risk rating.
Request bias-test documentation from vendors. Ask each AI hiring vendor for their most recent bias-testing results. If none exist, flag the gap to your Chief Risk Officer immediately.
Draft candidate disclosure language. Prepare bilingual (Arabic and English) notices informing candidates that AI is used in screening. Include the right to request human review and the option to apply through a non-AI path.
Establish a human-review escalation path. Define who reviews AI-rejected candidates when a human review is requested, and document the process.
Brief your board or senior management. Ensure AI hiring tools appear in the next quarterly AI risk report. If no such report exists, escalate to your compliance function.
Renegotiate vendor contracts. Ensure AI vendor agreements include audit rights, cybersecurity guarantees, and immediate cessation capabilities — all required under the Guidance Note's third-party accountability provisions.

Where Emiratisation Intersects

UAE financial institutions are simultaneously navigating Emiratisation compliance with tightening quotas and enforcement. AI screening tools used to manage Emiratisation hiring targets must also meet the CBUAE's AI governance standards — creating a dual compliance obligation that HR teams must address holistically rather than in isolation.

Building Compliance Into the Hiring Stack

For UAE financial sector HR teams evaluating AI screening platforms, compliance architecture matters as much as feature sets. Tools built with human-in-the-loop design, explainable scoring rubrics, and transcript-only analysis — rather than biometric or emotion detection — align more naturally with the CBUAE's governance expectations. OVI (ovi-me.com), a UAE-native AI ATS serving the financial sector, uses explainable AI rubrics and human-in-the-loop architecture that support the bias documentation and audit-trail requirements the Guidance Note demands.
The September 16 deadline is not the end of the compliance journey — the CBUAE has signalled that AI governance will be an ongoing examination priority for the next 18 to 24 months. The institutions that build governance into their hiring AI now will be the ones that avoid enforcement actions later.

Does the CBUAE AI Guidance Note explicitly cover HR and recruitment AI?

The Guidance Note focuses on consumer-facing financial AI. However, the broader governance framework under Federal Decree-Law No. 6 of 2025 requires institution-wide AI governance, which prudent compliance teams interpret as including HR and recruitment AI tools deployed within licensed financial institutions. This interpretation is not explicitly stated by the CBUAE and should be treated as a compliance-forward position.

Which UAE financial institutions must comply by September 16, 2026?

All CBUAE-licensed financial institutions: banks, insurance companies, exchange houses, finance companies, and payment service providers. DIFC-domiciled entities face additional requirements under Regulation 10 on AI of the DIFC Data Protection Law.

What are the penalties for non-compliance with the new CBUAE framework?

Administrative fines under Federal Decree-Law No. 6 of 2025 reach up to AED 1 billion. The CBUAE has also signalled that AI governance will be an ongoing examination priority through 2027–2028.

What bias testing is required for AI hiring tools under the CBUAE framework?

Annual bias testing is mandatory, or after any model upgrade, using representative training data. For HR applications, this means testing whether AI screening produces discriminatory outcomes across nationality, gender, age, or other protected characteristics relevant to the UAE labour market.

Do candidates have the right to opt out of AI screening at UAE banks?

Under the Guidance Note s opt-out provision, affected parties must have the option to decline AI-driven processes. For recruitment, this translates to offering an alternative application path — such as a human-reviewed submission — that does not rely on AI screening.