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Introducing Moka AI × Lark: Better Hiring Starts Here
Moka AI integrates natively with Lark — approvals, candidate messaging, scheduling, interviews, and offers, all inside Lark. Hire faster with less coordination.
Products9 min readJul 2026Damon Liu
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The AI Hiring Playbook 2026 · 11 Global Enterprise Cases from Real-World Practice
Featured
How to Choose the Right ATS for Lark Users? 4 Criteria That Matter
Choosing an ATS for a Lark team? Learn the four criteria that matter most: integration depth, workflow coverage, deployment speed, and compliance readiness.
Damon Liu8 min · Jul 2026
Talent & Culture Strategy at Tesla
Tesla runs the Tesla360 survey (91% participation), offers the 16-week Tesla Start Program, and pays ~$110K average. How its ownership culture drives innovation.
Damon Liu13 min · Jul 2026
How to Choose the Right ATS for Lark Users? 4 Criteria That Matter
Choosing an ATS for a Lark team? Learn the four criteria that matter most: integration depth, workflow coverage, deployment speed, and compliance readiness.
Damon Liu8 min · Jul 2026
Talent & Culture Strategy at Tesla
Tesla runs the Tesla360 survey (91% participation), offers the 16-week Tesla Start Program, and pays ~$110K average. How its ownership culture drives innovation.
Damon Liu13 min · Jul 2026
Latest
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.
Damon LiuMay 20261 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.
Damon LiuMay 20261 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.
Damon LiuMay 20261 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.
Damon LiuMay 20261 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
Damon LiuMay 20261 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%.
Damon LiuMay 20261 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
Moka AI Editorial TeamMay 20261 min
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.
Moka AI Editorial TeamMay 20261 min