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.
Ashley Carter3 min · May 2026
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How Klook Scaled Global Hiring with Moka ATS to Unify Talent Acquisition
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.
Customers3 min readMay 2026Ashley Carter
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The Modern Recruiter's Day: 8 Hours of Work, Now Done in 3 — A Walkthrough of How AI ATS Reshapes Every Hour
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.
Ethan Caldwell15 min · May 2026
The Candidate Digital Twin: Why Your AI ATS Already Builds One (And What It Means for 2026)
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.
Ethan Caldwell12 min · May 2026
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.
Ashley Carter3 min · May 2026
The Modern Recruiter's Day: 8 Hours of Work, Now Done in 3 — A Walkthrough of How AI ATS Reshapes Every Hour
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.
Ethan Caldwell15 min · May 2026
The Candidate Digital Twin: Why Your AI ATS Already Builds One (And What It Means for 2026)
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.
Ethan Caldwell12 min · May 2026
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