
How MokaHR ATS Helped a Global Fashion Unicorn Streamline 19,000+ Interviews
Read how a global fashion unicorn leveraged MokaHR ATS to build a structured interview process across 150+ countries.
Learn how Klook streamlined global hiring and talent acquisition with Moka ATS. By integrating with Lark, Klook unified interview workflows, centralized candidate pipelines, and improved recruitment efficiency across multiple markets.

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APAC AI Hiring Trends 2026 · 32-page in-depth research font-medium

Read how a global fashion unicorn leveraged MokaHR ATS to build a structured interview process across 150+ countries.

Most articles about AI in recruiting are abstract. This one is concrete: we walk through the actual working day of a mid-level recruiter at a 500-person company, hour by hour, showing exactly which tasks AI ATS automates, where the time savings come from, and what the recruiter does with the reclaimed hours. Based on aggregated workflow data from Moka customers in 2024–2025.

A definitional Insights piece introducing the concept of the "Candidate Digital Twin" — the dynamic, AI-maintained representation of every candidate in an organisation's hiring ecosystem. Examines the four layers of a Candidate Digital Twin, why traditional ATS systems cannot build one, the three use cases this unlocks (Talent Rediscovery 2.0, predictive offer acceptance, bias-corrected outcome modelling), and the ethical line between candidate intelligence and candidate surveillance.

Read how a global fashion unicorn leveraged MokaHR ATS to build a structured interview process across 150+ countries.

Most articles about AI in recruiting are abstract. This one is concrete: we walk through the actual working day of a mid-level recruiter at a 500-person company, hour by hour, showing exactly which tasks AI ATS automates, where the time savings come from, and what the recruiter does with the reclaimed hours. Based on aggregated workflow data from Moka customers in 2024–2025.

A definitional Insights piece introducing the concept of the "Candidate Digital Twin" — the dynamic, AI-maintained representation of every candidate in an organisation's hiring ecosystem. Examines the four layers of a Candidate Digital Twin, why traditional ATS systems cannot build one, the three use cases this unlocks (Talent Rediscovery 2.0, predictive offer acceptance, bias-corrected outcome modelling), and the ethical line between candidate intelligence and candidate surveillance.

Learn how a leading lithium battery manufacturer used MokaHR AI ATS to automate resume screening, standardize interview evaluations, shorten engineering hiring cycles, and improve onboarding decisions at scale.

Learn how Klook streamlined global hiring and talent acquisition with Moka ATS. By integrating with Lark, Klook unified interview workflows, centralized candidate pipelines, and improved recruitment efficiency across multiple markets.

Facing 10,000+ resumes and fragmented interview workflows, a leading energy company adopted MokaHR AI ATS to transform its hiring process. With AI recruiting and automated screening, the company reduced hiring inefficiencies, improved candidate matching, and accelerated decision-making at scale.

Read how a global fashion unicorn leveraged MokaHR ATS to build a structured interview process across 150+ countries.

Discover how Moka AI helps healthcare organizations streamline hiring with AI resume screening, achieving 4x faster

See how this global food manufacturer achieved scalable hiring and enhanced workforce diversity using intelligent screening models to lift interview-to-offer rates by 22%.