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.

Certify First, Then Unlock: How AstraZeneca Built 1,500 AI Agents in Two Months — and What It Means for Recruiting

2026-06-19

Certify First, Then Unlock: How AstraZeneca Built 1,500 AI Agents in Two Months — and What It Means for Recruiting

Within two months of opening advanced AI tool access, AstraZeneca employees built 1,500 AI agents. The catch: nobody touched those tools until they passed an ethics certification first.

That gating decision — certify responsible use, then unlock capability — sits at the center of the pharma giant's "Thriving in the Age of AI" program. AstraZeneca reports that 37,700 employees enrolled in the program in 2025 alone, with more than 12,000 earning tiered certifications across Bronze, Silver, and Gold levels (Source 1). Ninety-four percent of learners rated the training as directly relevant to their role.

These are self-reported figures — no third-party audit has been published — but the scale is directionally significant for any talent leader weighing AI readiness investments.

The 3Es: Education, Exposure, Experience

AstraZeneca structures its AI upskilling around a "3Es" framework developed by its Global Talent & Development team: Education, Exposure, and Experience (Source 2).

Education covers foundational AI literacy — what these tools can and cannot do, and the ethical guardrails that apply. Exposure gives employees structured opportunities to observe AI in action within their function. Experience is where employees apply AI to real workflows, building agents and automating processes under supervised conditions.

The framework is deliberately sequential. Employees progress through certification tiers before unlocking more powerful tools. This ethics-first gating means no one builds AI agents without first demonstrating they understand responsible use — a design choice that appears to have accelerated adoption rather than slowed it.

Over five years, AstraZeneca reports training more than 8,000 employees on AI, completing over 4 million learning modules across the organization, with the program available in more than 10 languages (Source 4; Source 6).

From Upskilling to Recruiting Outcomes

The link between internal AI capability and talent acquisition is where this story gets practical. AstraZeneca has deployed Eightfold.ai's capabilities-based matching for recruiting, cutting job ad creation time from 30–40 minutes to seconds (Source 3). Instead of matching candidates to job titles, the platform matches on demonstrated skills and competencies — reducing reliance on external recruitment agencies.

This is not an AstraZeneca-exclusive tool; HSBC and other enterprises also use Eightfold.ai. But when paired with a workforce that already understands AI fundamentals, the recruiting gains compound. Hiring managers who have completed AI certification can evaluate AI-matched candidates with more nuance. Internal mobility improves because employees can articulate their AI-adjacent skills in the system's language.

Meanwhile, AstraZeneca has also deployed AI coaching models for its US-based salesforce of 4,000 employees, using AI to analyze coaching documentation across 600+ field leaders — turning qualitative coaching notes into structured performance insights (Source 5).

What TA Leaders Should Take Away

AstraZeneca's playbook offers three transferable principles:

Gate access with certification, not prohibition. Banning AI tools creates shadow usage. Tiered certification channels adoption through responsible guardrails — and the 1,500 agents in two months suggests employees move faster when they trust the framework.

Connect L&D to TA metrics. AI upskilling is not just a learning initiative. When your workforce is AI-literate, recruiting tools like capabilities-based matching deliver better results because the humans in the loop understand what the AI is doing.

Start with ethics infrastructure. With the EU AI Act's August 2, 2026, enforcement deadline approaching, organizations that already have ethics-first AI governance will have a structural advantage. AstraZeneca's certification-gated approach provides a template.

For HR teams exploring AI-assisted screening, tools that maintain human oversight are critical. OVI, for example, uses AI-powered audio screening chats where AI provides decision-support only — final hiring decisions remain with the recruiter. With no biometric analysis (no facial recognition, no emotion detection — transcript content only), OVI's architecture aligns with frameworks like NYC Local Law 144 and the EU AI Act. Starting at $99/month, it represents a practical entry point for teams that want AI efficiency without sacrificing the human-in-the-loop principle that AstraZeneca's own program validates. More at ovi-me.com/standards.

All AstraZeneca metrics cited in this article are self-reported by AstraZeneca. No independent third-party audit of these figures has been published. They are directionally informative for benchmarking purposes.

Sources:

AstraZeneca, "Upskilling AI" (2025): https://www.astrazeneca.com/media-centre/articles/2025/upskillingAI.html
HR Grapevine, "The 3Es Framework: AstraZeneca's VP of Global Talent & Development on Training 8,000 Employees on AI" (Nov 2024): https://www.hrgrapevine.com/content/article/2024-11-11-the-3es-framework-astrazenecas-vp-of-global-talent-development-on-training-8000-employees-on-ai
Eightfold.ai, "AI Recruiting: Lessons from AstraZeneca and HSBC": https://eightfold.ai/blog/ai-recruiting-lessons/
AstraZeneca, "Empowering Inclusive Lifelong Learning & Development" (2025): https://www.astrazeneca.com/media-centre/articles/2025/empowering-inclusive-lifelong-learning-development.html
The Conference Board, "AstraZeneca: AI for Coaching": https://www.conference-board.org/topics/AI-HR/Astrazeneca-AI-for-Coaching
AstraZeneca, "Upskilling AI" (2024): https://www.astrazeneca.com/media-centre/articles/2024/upskilling-AI.html