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How Setur Transformed Employee HR Support

06.10.2026 / 3 dk'lık okuma
KoçSistem

KoçSistem built an agentic AI chatbot for Setur that reduced HR response times to seconds, powered by Claude.

The Problem: High-Volume, Repetitive HR Requests

With over 1,000 employees, Setur's HR team faced a constant stream of routine requests: leave applications, payroll inquiries, document requests, and frequently asked questions about topics like promotion processes and company policies. Each request typically reached the HR team by email or phone and took an average of 5 minutes to resolve — a modest amount of time per request, but one that added up to a significant operational load across hundreds of employees.

The Solution: A Claude-Powered Agentic HR Assistant

KoçSistem developed an agentic chatbot for Setur, built on the Claude API. These AI agents handle employee HR requests end to end — creating leave applications, answering payroll queries, processing document requests, and responding to frequently asked HR questions. The solution is accessible through the channels employees already use: Microsoft Teams, web, and mobile app.

The platform was built using Claude Code and went live on September 1.

The Results: Seconds, Not Minutes

More than 1,000 Setur employees actively use the platform, which handles an estimated 2,000–3,000 HR-related requests per month.

The clearest result is in response time: the average time to resolve a request dropped from 5 minutes to 5 seconds.

In Setur's Words

"We didn't want to just digitize our HR processes, we wanted to remove the friction entirely. With AI agents now handling leave requests, payroll questions, and everyday HR queries end to end, our team can focus on the work that actually requires human judgment."

Erdem Alkılıçgil

DFS and Business Solutions Leader, Setur

Looking Ahead

This project is a clear example of how agentic AI can directly improve the employee experience within corporate HR operations. At KoçSistem, we continue to bring Claude's capabilities to our customers' everyday operational needs.