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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Moka Eva: AI-Powered ATS for Faster, Smarter Hiring
Discover how MokaHR’s AI applicant tracking system helps teams reduce time-to-hire by 63%, automate screening, structure interviews, and improve hiring decisions.
Ashley CarterMay 20267 min
How MokaHR Helps a Lithium Battery Manufacturer Scale Engineering Hiring Faster
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.
Ashley CarterMay 20262 min
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.
Ashley CarterMay 20263 min
Fuelling Growth: How MokaHR Streamlined 10,000+ Monthly Resumes for an Energy Leader
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.
Ashley CarterMay 20264 min
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 CarterMay 20263 min
Healthcare Recruitment Case Study: How Moka AI Delivered 4x Faster Hiring
Discover how Moka AI helps healthcare organizations streamline hiring with AI resume screening, achieving 4x faster
Ashley CarterMay 20264 min
Campus Hiring at Scale: How Top Agri-Food Company Screened 40K Resumes with MokaHR
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%.
Ashley CarterMay 20262 min
The Hidden Cost of a 47-Day Hire: A Recruiting Pipeline Audit Framework for 2026
Global average time-to-hire reached 44 days in 2025 — up from 31 in 2023. The problem isn't that hiring is slower everywhere; it's that most teams can't see exactly where their own pipeline is failing. This piece introduces a 7-stage audit framework with industry benchmarks, four diagnostic patterns matched to specific automation interventions, and a 21-day pipeline scorecard teams can start using on Monday
Ethan CaldwellMay 202616 min