AI-Driven Salary Negotiation Workflow
SNAP (Salary Negotiation Automation Platform) is an AI-driven web-based solution that automates salary document analysis and negotiation workflows.
Tech Stack
Background & Story
SNAP (Salary Negotiation Automation Platform) is an AI-driven web-based solution that automates salary document analysis and negotiation workflows. Earlier, HR and operations teams manually reviewed payslips, offer letters, experience letters, and hike letters. They extracted and grouped salary components and performed complex calculations using company-specific rules. This led to high effort, errors, and slow turnaround times. SNAP transforms this into an intelligent, automated process delivering accurate salary insights and faster decisions.
Mission
- To build an AI-powered platform that automates salary document analysis and negotiation workflows.
- To replace manual document review and calculations with intelligent automation.
- To ensure accurate extraction, grouping, and comparison of salary components.
- To enable faster, consistent, and data-driven salary negotiation decisions.
Goals
- To automate ingestion and reading of salary documents across formats.
- To centralize and structure salary data for each candidate.
- To standardize salary calculations using company-defined rules.
- To reduce turnaround time and operational dependency on manual effort.
Challenges
- Unstructured & Inconsistent Documents. Salary documents arrived as PDFs, Word files, and scanned images with varying quality.
- High Human Effort & Dependency. Each document required line-by-line review, increasing risk of errors.
- Fragmented Data Management. Salary data was maintained in spreadsheets and folders with no central repository.
- Component Comparison Complexity. Repetitive salary components across documents were difficult to identify and group.
- Time-Consuming Calculations. Manual computation of monthly CTC, yearly CTC, fixed vs variable pay, and deductions.
Solution & Strategy
SNAP introduced an AI-driven document intelligence and analytics platform
- Automated ingestion and reading of salary documents.
- Intelligent classification of document types.
- Accurate extraction and grouping of salary components.
- Comparative analysis across multiple documents.
- Automated salary calculations using company rules.
- Centralized salary insights for decision-making.
Collaboration
The platform was developed with close involvement from HR teams, recruitment operations, and business stakeholders. Continuous feedback helped refine extraction logic, calculation rules, and usability to align with real hiring scenarios.
Key Outcomes
- Significant reduction in manual document review effort.
- Faster salary negotiation turnaround time.
- Improved accuracy in salary component extraction and calculations.
- Consistent application of company salary rules.
- Scalable handling of high candidate volumes.
Conclusion
SNAP successfully transformed salary negotiation from a manual, error-prone process into a centralized, AI-powered workflow. By automating document intelligence, salary component analysis, and calculations, the platform enables HR teams to make faster, accurate, and consistent salary decisions while reducing operational effort and risk.
Other Case Studies
Pentafox Digitizes Workforce Planning with the WFM Platform for Aviation Operations
See how Pentafox leverages AI/ML to intelligently plan, allocate, and monitor airline manpower through automated workforce scheduling and real-time visibility—improving staffing visibility, operational efficiency, and regulatory compliance.
Explore More
Pentafox Digitizes Lead Management with KVB-LMS
See how Pentafox centralized lead management to enable faster follow-ups and better customer conversion.
Explore More
Pentafox Digitizes End-to-End Procurement Workflows with the Procure360 Platform
See how Pentafox replaced fragmented email and spreadsheet procurement with a centralized platform that simplifies purchase requests, approvals, and process control.
Explore MoreWant results like this?
Tell us your challenge - we'll map the right product or service to it.