AWS-Based Intelligent Platform

The customer sought to deliver a solution for a highly competitive hiring landscape where traditional recruitment workflows created bottlenecks and inconsistencies. Several systemic issues were limiting both scalability and accuracy:

• High operational cost per interview. Each screening required the involvement of multiple specialists, significantly increasing the cost of talent acquisition;
• Inability to scale candidate processing. Recruiters were unable to evaluate large applicant pools in parallel, leading to delays and missed opportunities during hiring peaks;
• Extended time-to-hire. Filling a single vacancy could take up to 45 days, slowing down project staffing and impacting overall business performance;
• Lack of data-driven assessment. Traditional evaluation tools produced limited analytical insights, making it difficult to reliably measure a candidate’s actual competencies;
• Subjective and inconsistent evaluations. Different interviewers assessed the same candidates using varying criteria, introducing bias and increasing the likelihood of hiring errors.

As such, it automates key recruitment activities, increases transparency, and ensures a consistent experience for both recruiters and candidates. Core capabilities include:

• Peer-to-peer interviews with synchronized video, automated transcription, and AI-powered analysis to extract competence indicators and behavioral signals;
• Structured analytical reports that aggregate performance metrics and provide a consolidated view of a candidate’s strengths and development areas;
• Configurable interview templates that allow rapid adjustment of questions and evaluation criteria for different roles;
• Integration with CRM and ATS systems to streamline data exchange and reduce manual processing within the hiring pipeline;
• Self-assessment modules that let candidates independently complete tests, coding tasks, and practical assignments within the platform.

Our system is universal and adapts to different business domains, from industry to finance and education. It stands out from its competitors thanks to several unique, AWS-powered features:

• Anti-cheating. A proprietary monitoring module, enhanced by AWS computer vision and event-processing services, detects suspicious behavior, such as window switching, absence from the frame, and microphone muting;
• AI-generated questions. Creation of relevant questions based on a competency matrix and vacancy specifics, supported by AWS-hosted LLM processing and scalable inference;
• Support for any role. Flexible evaluation pipelines that scale on AWS to support positions ranging from developers and analysts to HR specialists and managers;
• Customizable AI. The ability to employ different LLMs and ML models for data analysis and processing, deployed and managed on AWS infrastructure;
• Complete automation. Automated analysis of video, speech, language, and answer structure, with real-time processing supported by AWS AI/ML and serverless components;
• Flexible editor. Tools for creating custom templates and competency matrices, backed by AWS storage and configuration services for streamlined data handling.

The resulting AWS-based solution is a remarkable achievement, thanks to a range of properties. It offers:

• Cross-industry applicability. A standardized interview and evaluation workflow suitable for organizations across all sectors, regardless of industry-scale demands;
• Unified hiring and employee assessment. A single platform for both candidate selection and ongoing employee evaluation, enabling companies to maintain consistent, data-driven assessment practices;
• Configurable AI and LLM flexibility. The system can employ different LLMs for analysis and scoring;
• Candidate growth insights. Automated detection of strengths, weaknesses, and development areas using AWS-hosted NLP and ML pipelines that analyze multimodal input data;
• Advanced anti-cheating system. A proprietary monitoring module that evaluates textual, vocal, and behavioral signals, enhanced through AWS computer vision, speech analysis, and event-processing services;
• High scalability. Serverless and autoscaling components allow the platform to support organizations of any size, from small teams to large enterprises with high hiring throughput.

The solution features:

• Anti-cheating system. Automated analysis of textual, vocal, and behavioral signals detects suspicious activity (window switching, scripted answers, camera/mic anomalies), assigns an anti-cheating score, and flags interviews that exceed the risk threshold to ensure fair, objective, and documented assessments;
• Knowledge base (knowledge scope). A structured competency framework that organizes skills by level, auto-generates interview and self-assessment questions, synchronizes with CRM systems, and uses AI to identify knowledge gaps, recommend development areas, and standardize evaluation across roles and teams;
• AI-driven question generation. An intelligent engine that produces vacancy-specific, customizable question sets based on difficulty, topic, and required technologies, with options for manual refinement, which enables rapid creation, reuse, and scaling of tailored interview content while maintaining consistency and objectivity.

As an AWS-based intelligent solution, this tool empowers organizations and their teams to:

• Run structured peer-to-peer interviews with AI-driven analysis. It delivers an end-to-end interview workflow, including real-time question generation, video recording, transcription, multimodal (video, audio, and text) data processing, objective scoring, and structured reporting;
• Perform scalable self-assessments for high-volume candidate screening. The AWS-backed automated testing pipeline generates personalized assessments, validates camera and audio readiness, applies anti-cheating controls, assigns objective scores, and produces reports at scale for large candidate pools;
• Standardize hiring with configurable, organization-wide interview templates. It features centralized template management that lets recruiters tailor interviews to roles, define weighted evaluation criteria, update question sets, and maintain consistent standards across teams, reducing preparation time and increasing transparency.

Thanks to the implementation of the solution, the customer has achieved the following results:

• 60% increase in candidates processed monthly;
• 44% reduction in time spent per interview;
• 57% cost savings per interview.