Skillect is an AI-driven recruitment platform helping organizations streamline talent acquisition and enhance candidate experiences through Generative AI solutions.
Previously, relying on manual workflows and traditional Applicant Tracking Systems (ATS), Skillect faced inefficiencies in job description creation, resume screening, and candidate interviews. As client adoption grew, these limitations highlighted the need for a modern, scalable, and AI-driven platform.
Skillect partnered with Tekbay Digital to implement a cloud-powered AI recruitment platform, leveraging Generative AI tools like Bedrock LLMs and Nova Sonic to automate and optimize hiring processes.
Key Challenge: Manual and Inefficient Hiring Workflows
Skillect’s recruitment process initially faced multiple operational bottlenecks:
- Manual Resume Screening: Recruiters manually reviewed candidate resumes, leading to delays and inconsistencies.
- Time-Consuming Job Descriptions: Job descriptions were created manually, slowing the recruitment process.
- Unstructured Interview Process: Early-stage interviews lacked automation, causing inconsistent candidate evaluation and longer hiring cycles.
- High Recruiter Workload: Manual tasks consumed significant recruiter time, reducing productivity.
- Scalability Constraints: As more organizations adopted Skillect, manual processes could not scale efficiently.
These issues made it clear that AI automation was needed to improve speed, accuracy, and scalability.
TekBay’s AWS-Powered Solution for AI-Driven Talent Acquisition
To address Skillect’s challenges, TekBay implemented a cloud-native, AI-powered recruitment platform leveraging AWS services, focusing on automation, scalability, and efficiency.
Key Components Of The Solution:
- GenAI-Powered Job Description Generator
- Bedrock-hosted LLMs to generate role-specific job descriptions.
- Recruiters can quickly review and customize outputs, reducing manual effort.
- Resume Intelligence Engine
- Automatically parse and rank resumes using AI-driven semantic analysis.
- Ensure accurate candidate-role matching while reducing time-to-hire.
- AI-Led Voice Interviews
- AWS Nova Sonic for real-time voice-based interviews.
- Candidate responses are transcribed and contextually analyzed, enabling automated, scalable assessments.
- Centralized Monitoring and Metrics
- Amazon CloudWatch to collect logs and metrics for insights into platform performance.
- DevSecOps Integration
- Security scanning, environment validation, and automated pipelines ensure safe and consistent deployments.
Architecture Overview
Implementation Strategy
- Discovery & Assessment:
- Evaluated current ATS and manual hiring workflows.
- Identified bottlenecks and scalability challenges.
- Planning & Design:
- Designed an AI-driven recruitment workflow using AWS Bedrock and Nova Sonic.
- Defined performance, scalability, and security goals.
- Execution & Test:
- Deployed AI-driven JD generator, resume screening, and AI voice interviews.
- Tested candidate ranking, transcript accuracy, and overall workflow efficiency.
- Validation & Closure:
- Measured recruitment KPIs and recruiter productivity improvements.
- Documented processes and trained HR teams for AI adoption.
Outcomes Of The Project And Success Metrics
The AI-powered recruitment solution delivered measurable business impact:
- Candidate Screening Efficiency: Screening time reduced from ~45 minutes per candidate (manual interviews) to ~12 minutes per candidate with AI-led resume parsing and voice interviews, achieving a 73% reduction.
- Job Description Automation: 90% of job descriptions are now auto-generated, improving consistency and recruiter productivity.
- AI-Led Interviews: Early-stage interviews reduced by 40%, freeing recruiters to focus on high-value tasks.
- Enhanced Candidate Experience: Structured AI interactions ensured fair, consistent evaluations.
Impact Table:
| Metric | Before Skillect | After Skillect | Improvement |
|---|---|---|---|
| Candidate Screening Time | ~45 min per candidate | ~12 min per candidate | 73% reduction |
| Job Description Creation | Manual | 90% Automated | Increased Efficiency |
| Early-Stage Interviews | Manual | AI-led | 40% faster |
Lessons Learned From Skillect’s Transformation
- AI-driven automation dramatically reduces repetitive tasks.
- Generative AI and voice-based assessments scale efficiently with growing user demand.
- Centralized monitoring ensures visibility into candidate workflows and platform health.
- Early integration of DevSecOps principles improves reliability and security.
Conclusion
Skillect successfully transformed the recruitment process from manual, time-consuming workflows to a fully AI-driven, scalable talent acquisition platform.
By leveraging AWS-powered Generative AI and cloud-native architecture, Skillect achieved:
- 3× faster candidate screening
- 90% automated job descriptions
- 40% faster interview processing
This modernization not only improved recruiter productivity and candidate experience but also laid the foundation for future growth, scalability, and AI-driven innovation in recruitment.
