How MokaHR’s AI-Powered ATS Helps Leading Energy Company Handle 10,000+ Resumes and 4,000+ Interviews

The leading energy company faced a recruitment crisis during rapid expansion. Overwhelmed by 10,000+ incoming resumes and thousands of interviews across global time zones, the company's hiring process had become chaotic and inefficient. Top candidates were slipping through cracks, interviews lacked consistency, and manual processes created bottlenecks that frustrated both recruiters and candidates.

By implementing Moka AI-powered recruitment platform, the company transformed their hiring operations from reactive firefighting to proactive, streamlined processes. They achieved a 63% reduction in time-to-hire, processed 4,000+ interviews, and turned their underutilized talent database into a strategic advantage.

The Challenge:10k+ resumes overwhelm manual screening and traceability

Large hiring volumes and fragmented workflows create three repeating problems:

1. High Resume Volume: Recruiters spend more time triaging noise than assessing signal. High volumes mean good candidates can be buried.

2. Biased interviews: Uneven interviewer preparation and note-taking leads to lost signals and biased decisions.

3. Slow feedback loops: Manual scheduling and feedback collection delays decisions and costs top talent.

Put it simply :slower hiring, higher recruiting costs, and poorer candidate experience. If you’re honest, that’s where most hiring teams live before they adopt automation.

The Solution: How the Leading Energy Company Addressed Each Pain Point

By leveraging Moka Eva for AI resume screening and structured interview summaries, the company streamlined its hiring process, reduced inefficiencies, and prevented talent loss across critical stages of recruitment.

• AI-Powered Resume Screening for Energy Technical Roles: To tackle their overwhelming volume of applications, the company deployed MokaHR's automated resume screening that could automatically analyze energy technology keywords and technical qualifications. This solution transformed their HR team's ability to efficiently identify qualified candidates from thousands of resumes while reducing the risk of missing top talent due to manual screening limitations.

• Precision Matching with Moka Eva AI Analysis: The energy company leveraged Moka Eva's advanced AI capabilities to enhance their technical position matching accuracy. By utilizing AI-powered analysis of energy-specific technical keywords and candidate profiles, they could now achieve precise candidate-role alignment that their previous manual processes couldn't deliver, ensuring better quality hires for critical engineering positions.

• Intelligent Interview Management and Real-Time Documentation: To address their inefficiency of interview feedback, the company implemented Moka Eva's intelligent AI interview summary with real-time recording and structured dialogue analysis. This enabled their engineering managers to conduct standardized interviews while automatically capturing structured feedback, eliminating the subjectivity and delays associated with manual note-taking and evaluation processes.

The Results: Handles 10k resumes 4k interviews faster traceable hires

The leading energy company transformed their recruitment operations by implementing MokaHR's AI-powered hiring solutions, achieving remarkable measurable outcomes. Using the intelligent resume screening feature, they now process over 10,000+ resumes monthly with dramatically improved efficiency. The company leveraged Moka Eva's AI-powered analysis of energy technology keywords to enhance their technical position screening effectiveness, with HR recommendation accuracy rates reaching over 90%.

For interview management, the energy company deployed Moka Eva's AI interview summary,enabling real-time recording and structured dialogue content analysis. This transformation improved their interview feedback quality by 50%, while comprehensive interview data precipitation provided the company with reliable, data-driven hiring decisions. Through over 4,000+ uses of the intelligent interview scheduling feature, they eliminated the inconsistencies of manual processes and significantly accelerated their time-to-hire for critical technical positions.

If your hiring process feels like bailing water with a teacup, MokaHR’s AI ATS offers a bigger bucket — it finds candidates faster, makes screening repeatable and defensible, and turns interviews into structured data instead of fragile memory. It doesn’t remove human judgment (you still decide); it simply surfaces the right humans to judge and gives them reliable information to do it. Think of it as giving recruiters a turbocharged pair of glasses: they see more, sooner, and with less strain.