Frese Recruiting
Saved €200,000 with AI Automation
Saved €200,000 with AI Automation
Saved €200,000 with AI Automation
Saved €200,000 with AI Automation
Within just a few months, the company reduced response times from up to 24 hours to approximately 2 minutes and saved over €200,000 annually in support costs. The result was a scalable communication system, faster processes, and significantly reduced operational stress.
Within just a few months, the company reduced response times from up to 24 hours to approximately 2 minutes and saved over €200,000 annually in support costs. The result was a scalable communication system, faster processes, and significantly reduced operational stress.
Within just a few months, the company reduced response times from up to 24 hours to approximately 2 minutes and saved over €200,000 annually in support costs. The result was a scalable communication system, faster processes, and significantly reduced operational stress.
Challenge
Frese Recruiting operates in a highly complex environment, placing international healthcare professionals in Germany. This involves continuous communication, coordination, and administrative processes.
While the company already used various tools and partial automations, these systems were not connected effectively, and communication remained largely manual.
This resulted in several operational problems:
Fragmented tools instead of a unified communication and process system
Thousands of active WhatsApp conversations without scalable handling
Response times of up to 24 hours
High manual workload despite existing tools
Operational stress due to lack of process reliability
Limited scalability without hiring additional staff
The company’s growth was constrained by communication bottlenecks and inefficient workflows.
Frese Recruiting operates in a highly complex environment, placing international healthcare professionals in Germany. This involves continuous communication, coordination, and administrative processes.
While the company already used various tools and partial automations, these systems were not connected effectively, and communication remained largely manual.
This resulted in several operational problems:
Fragmented tools instead of a unified communication and process system
Thousands of active WhatsApp conversations without scalable handling
Response times of up to 24 hours
High manual workload despite existing tools
Operational stress due to lack of process reliability
Limited scalability without hiring additional staff
The company’s growth was constrained by communication bottlenecks and inefficient workflows.
Frese Recruiting operates in a highly complex environment, placing international healthcare professionals in Germany. This involves continuous communication, coordination, and administrative processes.
While the company already used various tools and partial automations, these systems were not connected effectively, and communication remained largely manual.
This resulted in several operational problems:
Fragmented tools instead of a unified communication and process system
Thousands of active WhatsApp conversations without scalable handling
Response times of up to 24 hours
High manual workload despite existing tools
Operational stress due to lack of process reliability
Limited scalability without hiring additional staff
The company’s growth was constrained by communication bottlenecks and inefficient workflows.
Goal
The objective was to build a scalable communication and operations system that could handle growing demand without increasing headcount.
Key goals included:
Automating WhatsApp communication across thousands of active conversations
Reducing response times to near real-time
Implementing a structured system for handling complex requests
Reducing manual workload in support and operations
Lowering operational costs
Enabling scalable growth without hiring additional staff
Success would be defined by faster response times, reduced costs, improved process stability, and the ability to scale without increasing team size.
The objective was to build a scalable communication and operations system that could handle growing demand without increasing headcount.
Key goals included:
Automating WhatsApp communication across thousands of active conversations
Reducing response times to near real-time
Implementing a structured system for handling complex requests
Reducing manual workload in support and operations
Lowering operational costs
Enabling scalable growth without hiring additional staff
Success would be defined by faster response times, reduced costs, improved process stability, and the ability to scale without increasing team size.
The objective was to build a scalable communication and operations system that could handle growing demand without increasing headcount.
Key goals included:
Automating WhatsApp communication across thousands of active conversations
Reducing response times to near real-time
Implementing a structured system for handling complex requests
Reducing manual workload in support and operations
Lowering operational costs
Enabling scalable growth without hiring additional staff
Success would be defined by faster response times, reduced costs, improved process stability, and the ability to scale without increasing team size.
Result
Within a few weeks after analyzing the existing workflows, APEX implemented targeted automations and AI-driven systems at the most critical bottlenecks.
The immediate improvements delivered measurable results:
Response times reduced from 12–24 hours to approximately 2 minutes
Over €200,000 saved annually in support costs
Thousands of WhatsApp conversations handled automatically
Implementation of an intelligent ticketing system for complex cases
Up to 99% cost reduction in language training through AI solutions
Significantly reduced operational stress and manual workload
The company now operates with a scalable communication infrastructure, predictable processes, and the ability to grow without increasing operational complexity.
Within a few weeks after analyzing the existing workflows, APEX implemented targeted automations and AI-driven systems at the most critical bottlenecks.
The immediate improvements delivered measurable results:
Response times reduced from 12–24 hours to approximately 2 minutes
Over €200,000 saved annually in support costs
Thousands of WhatsApp conversations handled automatically
Implementation of an intelligent ticketing system for complex cases
Up to 99% cost reduction in language training through AI solutions
Significantly reduced operational stress and manual workload
The company now operates with a scalable communication infrastructure, predictable processes, and the ability to grow without increasing operational complexity.
Within a few weeks after analyzing the existing workflows, APEX implemented targeted automations and AI-driven systems at the most critical bottlenecks.
The immediate improvements delivered measurable results:
Response times reduced from 12–24 hours to approximately 2 minutes
Over €200,000 saved annually in support costs
Thousands of WhatsApp conversations handled automatically
Implementation of an intelligent ticketing system for complex cases
Up to 99% cost reduction in language training through AI solutions
Significantly reduced operational stress and manual workload
The company now operates with a scalable communication infrastructure, predictable processes, and the ability to grow without increasing operational complexity.
Jousef Murad
Founder & CEO, APEX
Client
Frese Recruiting
Services
AI Process Automation
Timeline with APEX
6 Months
“What APEX builds is in a completely different league. The results are world-class.”
"APEX reduced our response times from up to 24 hours to just a few minutes and helped us save over €200,000 per year in support costs."
Tobias Frese
CEO of Frese Recruiting
“What APEX builds is in a completely different league. The results are world-class.”
"APEX reduced our response times from up to 24 hours to just a few minutes and helped us save over €200,000 per year in support costs."
Tobias Frese
CEO of Frese Recruiting
