Case study #1: Cost-Effective, Fully Automated Applicant Tracking System

Objective: Create an affordable, scalable, and automated Applicant Tracking System (ATS) for a client to manage a large volume of job applications efficiently.

Background: The client required an ATS to handle recruitment applications but found market solutions prohibitively expensive, with costs potentially reaching $10,000 a month to manage a few thousand candidates. They needed a system that could not only track applications but also automate the entire recruitment process to ensure efficiency and accuracy.

Challenge: Develop a robust ATS that reduces operational costs significantly while incorporating advanced automation features for application screening, assessment, and follow-up processes.

Solution Implemented:

Advanced Automations:

• Screening: Upon receiving applications, the ATS automatically screens candidates’ resumes and backgrounds using predefined keywords and criteria.
• Assessments: Candidates automatically receive links to screening tests or scenario-based assessments. The system tracks their progress and sends reminders if candidates do not complete steps within designated timeframes.
• Candidate Progression: Based on assessment results, candidates are either moved forward in the recruitment process or automatically rejected, with all decisions logged in the system for review.
• Communications: All candidate communication, including reminders, rejection, and acceptance emails, is fully automated. The system also handles onboarding processes and contract generation.

Cost Efficiency:

• Low Operating Costs: The ATS was built using a combination of affordable tools, costing approximately $20 per month for the ATS platform and an additional $20 for automation tools, drastically reducing the operational expenses compared to traditional systems.

Outcome

• Significant Cost Savings: The client achieved substantial cost savings compared to using high-priced market alternatives.
• Enhanced Efficiency: The recruitment process became faster and more efficient, with less manual intervention required.
• Scalability: The ATS is designed to scale easily as the client’s needs grow, without additional cost burdens.

Case study #2: Sales Call Analysis Tool

Objective: Develop a highly efficient and automated solution to analyze sales calls to enhance productivity and accuracy for a client who was previously managing this process manually.

Background: Initially, the client’s process involved multiple manual steps: downloading transcripts of sales calls, uploading them to ChatGPT for analysis, manually pasting the results into a database, and emailing them to sales representatives. This procedure was time-consuming and prone to human error.

Challenge: The main challenge was to streamline and automate the entire process from the retrieval of call transcripts to the analysis and distribution of results, thereby saving time and reducing errors.

Solution Implemented:

Process Workflows:

• Retrieval of Transcripts: As soon as a sales call is completed, the transcript is automatically fetched by an innovative automation tool.
• Real-Time Analysis: The tool utilizes an AI model to analyze the transcripts based on predefined criteria aligned with the company’s sales processes.
• Database Integration: Results from the AI analysis are automatically stored in a centralized database for ease of access and future reference.
• Distribution: The analyzed data is immediately emailed to the respective sales representatives, ensuring timely feedback and action.

Outcome

• Reduction in Process Time: What previously took several manual steps over an extended period is now completed within 60 seconds per call.
• Increased Accuracy: Automated analysis minimizes human errors and provides consistent results.

Enhanced Productivity: Sales representatives receive immediate, actionable insights, allowing them to focus on improving sales strategies and customer interactions.