A Fortune 1000 US based firm ran US recruitment coordination out of its India Shared Services centre, handling a high volume of applications against an employee to hire conversion ratio of under 5%. The legacy applicant tracking system was rigid and manual, with heavy data entry required at every stage from application intake through to final hire.
∙ Manual errors creeping into a high volume, repetitive process
∙ Time management issues, with recruiters juggling scheduling and coordination manually
∙ High costs and TAT driven by manual handling at every stage
∙ A recruitment process too manually intensive to scale efficiently
∙ A substandard applicant experience, shaped by delays and inconsistent follow through
Aiwozo deployed agentic AI to handle both repetitive coordination tasks and unstructured applicant data.
Parsing agents, read and extracted information from resumes automatically reducing manual data entry by about 75%, with the remaining 25% handled by a recruiter where judgment was needed.
Scheduling agents, took over calendar coordination for new applicants blocking interview slots, sending reminders, and managing logistics without recruiter involvement.
Feedback agents collected interviewer feedback via email automatically, using it to move applicants to the next stage or close them out, rather than requiring a recruiter to chase responses.
Offer agents stepped in once a candidate was selected, routing the required salary approvals and sending the offer once approved.
Key business and operational challenges that limited performance, scalability, and governance before automation was introduced.
