Case Study
AI-Powered HR Automation Reduces Inquiry Processing Time by 80%
Results
80%
Reduced manual processing time by 80%
20min
Cut response time from 3 days to 20 minutes
EX
Improved employee satisfaction
Company Profile
Indian publicly-listed private-sector life insurer, joint venture between a major Indian private-sector financial services group and a global insurance partner. Products span term life, savings, unit-linked plans, retirement annuities, and group business across India’s growing protection-gap market. Tens of thousands of employees, distributing primarily through bancassurance channels and a national agent force.
Challenge
Manual Handling of HR Inquiries
The HR team at our client’s life insurance firm was drowning in employee inquiries, roughly 150 a day arriving by email or through the HRMS portal, and manually logging each request into an Excel spreadsheet, then re-keying it into the internal HR system, then chasing missing information one employee at a time. Daily volume kept climbing while resolution time crept up alongside it.
Without a way to triage and respond at scale, employees waited days for time-sensitive answers, and the HR team was burning hours on routine tracking that left no capacity for higher-judgment work.
Solution
HR Automation Slashes Processing and Response Time
Our client engaged WonderBotz to leverage proprietary frameworks and accelerators to rapidly assemble an HR inquiry automation tailored to the company’s HRMS environment. The solution used AI to extract and categorize structured and unstructured request data (employee ID, status, request type, handling notes) from email and the HRMS portal, consolidated entries into the HR team’s spreadsheet workflow, and ran completeness checks that triggered automated follow-up emails when fields were missing.
When the HR team marked a request complete in the portal, the bot dispatched the resolution to the employee automatically. The HR team got out of the spreadsheet-tracking and follow-up loop and reclaimed bandwidth for higher-judgment work, and employees got faster, more reliable answers to time-sensitive questions.
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