Annasaheb Patil: Digital HRMS & Citizen Portal
Centralized eHRMS with geo-location employee tracking, transport-linked payroll calculation, AI WhatsApp chatbot handling citizen queries with human hand-off, and Microsoft Power BI/Copilot analytics.
APAMVMScreens from the APAMVM system
Real screens from the delivered system. Sensitive client data is masked.
Our WhatsApp work is a case study in Let's Put AI To Work
UK author Jim A. James's book on putting AI to work in business records the WhatsApp platform we built for Annasaheb Patil Arthik Magas Vikas Mahamandal, a Government of Maharashtra corporation, as a real-world example of AI and automation serving citizens at scale.
- Independent author, published book
- Government WhatsApp platform with AI chatbot and payments
- Available on Amazon
Annasaheb Patil Arthik Magas Vikas Mahamandal is a premier state corporation under the Government of Maharashtra facilitating entrepreneurship loans and training across all districts. They needed to modernize district employee attendance and citizen self-service.
Paper-based daily registers across 100+ taluka offices resulted in payroll delays, unverified field travel allowance claims, and overwhelmed call center lines for citizen scheme status inquiries.
Involve Technologies deployed a cloud-native eHRMS with geo-fencing mobile attendance verification, automated travel-allowance payroll computation, and an AI WhatsApp bot with human agent escalation.
- Centralized eHRMS with geo-fencing mobile employee verification
- Automated multi-tier transport allowance calculation and salary disbursement
- AI-powered WhatsApp citizen inquiry assistant with human operator escalation
- Microsoft Power BI executive dashboards for state directorate reviews
- Role-based cryptographic approval flows for state financial disbursements
- Audit-ready digital transaction ledger complying with state e-governance guidelines
Processed 25,000+ citizen inquiries automatically via WhatsApp with zero phone queuing, achieved 100% geo-verified attendance across 100+ centers, and cut monthly payroll generation time from 12 days to 2 hours.
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