In the field of global talent acquisition, organizations are struggling to screen many candidates thoroughly and effectively. This is because traditional screening methods—based on CVs or standard tests—often lack real-world effectiveness. According to reports from LinkedIn and McKinsey, between 2020 and 2023, most hiring teams struggled to develop assessments that accurately predict employee effectiveness in the workplace. With the evolving remote work environment and distributed teams, the need for reliable automation and dynamic screening tools has become imperative in human resources technology.

Artificial intelligence emerges as a major challenge for overcoming these challenges. AI streamlines the recruitment process by automatically generating tests, scoring assessments, and analyzing performance, reducing manual tasks and providing deeper insights into candidate performance. With AI solutions in recruitment software, the software can replicate real-life work situations, design questions for relevant positions, and ensure consistency in high-volume recruiting.

In this dynamic setting, WeCP—pronounced We Create Problems—is a platform that integrates assessment and interviewing using AI-based tools. Founded by Abhishek Kaushik and Mohit Goyal in Bengaluru in 2016, WeCP initially focused on technical assessments for software engineers. Kaushik and Goyal felt that the selection process made it difficult for recruiters to understand the candidate’s aptitude accurately because the candidate was resorting to the known set of problems that they were comfortable with.

The core of WeCP’s offering is the Talent Assessment Platform, which integrates AI to deliver customized evaluations. The system houses over 500,000 questions and more than 2,000 test templates covering technical, non-technical, communication, and behavioral domains. AI capabilities allow the platform to automatically generate assessments tailored to specific roles, varying difficulty levels, and job-relevant scenarios. This automated question creation is designed to reduce the risk of question repetition and potential leaks while enabling recruiters to conduct large-scale assessments with minimal manual intervention.

A key feature of the platform is its real-time evaluation dashboard. AI algorithms analyze candidate responses in real time, providing metrics on coding correctness, approach efficiency, reasoning quality, and soft skills. Recruiters can access skill breakdowns, answer-level insights, and performance summaries, allowing comparisons across cohorts or geographic regions. Automating these analytics aims to improve decision-making speed and reduce operational hours spent reviewing individual candidate submissions.

WeCP AI, introduced as part of the platform, generates explicitly role-based assessments across domains such as engineering, IT, data science, QA, cybersecurity, DevOps, communication, and aptitude. By processing job descriptions and skill tags, the AI produces both technical and scenario-based questions for practical evaluation. This system supports rapid test deployment and aligns assessments with evolving employer requirements. Organizations using WeCP AI can create assessments that mirror real workplace challenges, offering a standardized but adaptable way to measure applied skills.

The WeCP AI Interviewer extends these AI capabilities to structured video interviews. This tool conducts role-specific conversations with candidates, asking technical, behavioral, and situational questions while analyzing speech, reasoning, and communication patterns. Multiple interviews can be run simultaneously, reducing dependence on human interviewers for initial rounds. The structured analysis provided by AI ensures consistency in evaluation, addressing concerns highlighted in industry studies about variability in human-led interviews and inconsistent scoring.

Maintaining integrity in remote hiring is an additional challenge addressed by AI-driven monitoring. The platform includes proctoring systems that track browser activity, timing, and coding inputs during assessments. Beyond these features, as remote interviews grew in 2020 and 2021, the issue of AI-assisted fraud, deepfakes, and impersonation became prominent. In response, Sherlock AI was introduced in mid-2025 by the founders of WeCP. Sherlock AI operates independently from the platform and focuses exclusively on live interview security. It analyzes video, voice, device activity, and motion patterns to detect fraud, proxy participation, and AI-assisted manipulation. Organizations deploy Sherlock AI as a standalone solution when additional interview integrity measures are required.

In addition to technical assessments and interview monitoring, WeCP’s platform includes tools for evaluating communication and culture fit. English Pro measures reading, writing, speaking, and listening aligned to standards such as CEFR, supporting roles that demand global communication proficiency. Culture Pro evaluates cognitive, personality, and behavioral traits through scenario-based tasks and interactive simulations. Both of them rely on AI analytics in order to provide a standardized score and a ready interpretation of a long-term fit within an organization. 

Public case studies available indicate that various businesses, such as Infosys, LTIMindtree, UST, Brillio, and Quinnox, utilize this platform for campus recruitment drives, remote hiring of teams, internal mobility recruitment initiatives, and large-scale skill mapping exercises. These case studies showcase reduced workloads of the hiring managers, improved job mapping with candidate competencies, and faster review cycles. The availability of integrations with applicant tracking systems—Greenhouse, Workday, Zoho Recruit, Workable, TurboHire, and iCIMS—enables businesses to incorporate AI insights within larger HR workflows.

WeCP demonstrates the use of automation and machine learning in high-volume, skill-based recruitment by combining automated question formulation, structured interview scoring, real-time analysis, and, as an added feature, fraud detection via its Sherlock AI solution. The system aims to strike a balance between processing speed and detection accuracy, helping enterprises efficiently manage high applicant volumes by minimizing manual review. Since its inception, WeCP has evolved from a simple technology assessment platform into a system that integrates multiple aspects of personnel assessment, reflecting the broader trend of AI adoption in recruitment operations.

With these AI-based capabilities, WeCP offers a case that bridges automation and machine learning with human resource activities. It provides organized tools for skills assessment, behavior pattern identification, and integrity maintenance throughout the assessment process. 

Disclaimer: This article is intended for informational purposes only. Company names referenced are based on publicly available case studies, candidate reports, and industry discussions. The scope, duration, or current status of platform usage may vary. Mention of any organization does not imply endorsement, formal partnership, or ongoing commercial engagement unless explicitly stated by the respective parties.