A regulatory surge overwhelmed a support team using 5 fragmented tools. Now, AI fields 100k monthly questions, freeing agents for complex cases.
One of Europe's largest SaaS providers offering tax, billing, HR, and accounting solutions to more than 2.5 million small and medium-sized businesses globally.
Following the acquisition of multiple regional technology companies, the organization inherited five fragmented legacy support tools. Simultaneously,...
“When I first joined the organization, there were five different companies and each of them had its own support tool. So, I thought, ‘Okay—we need to start centralizing this. In order to have a unique customer source.’”
Business management and ERP software for SMEs, accountants, and professionals.
AI-powered customer service and employee experience software platform.
TeamSystem's Customer support is part of this use case:
Related implementations across industries and use cases
Acquisitions scattered data across legacy systems. Layering AI over the stack drove automated resolution from 20% to 72%.
Agents were buried in common questions, with resolutions taking 3 hours. Now, an AI agent fields FAQs, freeing experts for complex cases.
A 12% M&A surge overwhelmed legacy chatbots. AI now resolves 70% of inquiries 24/7, freeing agents to provide strategic guidance.
Acquisitions scattered data across legacy systems. Layering AI over the stack drove automated resolution from 20% to 72%.
Agents were buried in common questions, with resolutions taking 3 hours. Now, an AI agent fields FAQs, freeing experts for complex cases.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Reps struggled to match thousands of use cases. AI now scans 1,500 accounts for triggers and drafts pitches, saving 10+ hours weekly.
Rigid "press 1" phone trees bottlenecked global support. Now, localized AI agents guide complex step-by-step blind installations.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
A regulatory surge overwhelmed a support team using 5 fragmented tools. Now, AI fields 100k monthly questions, freeing agents for complex cases.
One of Europe's largest SaaS providers offering tax, billing, HR, and accounting solutions to more than 2.5 million small and medium-sized businesses globally.
Following the acquisition of multiple regional technology companies, the organization inherited five fragmented legacy support tools. Simultaneously,...
“When I first joined the organization, there were five different companies and each of them had its own support tool. So, I thought, ‘Okay—we need to start centralizing this. In order to have a unique customer source.’”
Business management and ERP software for SMEs, accountants, and professionals.
AI-powered customer service and employee experience software platform.
TeamSystem's Customer support is part of this use case:
Related implementations across industries and use cases
Acquisitions scattered data across legacy systems. Layering AI over the stack drove automated resolution from 20% to 72%.
Agents were buried in common questions, with resolutions taking 3 hours. Now, an AI agent fields FAQs, freeing experts for complex cases.
A 12% M&A surge overwhelmed legacy chatbots. AI now resolves 70% of inquiries 24/7, freeing agents to provide strategic guidance.
Acquisitions scattered data across legacy systems. Layering AI over the stack drove automated resolution from 20% to 72%.
Agents were buried in common questions, with resolutions taking 3 hours. Now, an AI agent fields FAQs, freeing experts for complex cases.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Reps struggled to match thousands of use cases. AI now scans 1,500 accounts for triggers and drafts pitches, saving 10+ hours weekly.
Rigid "press 1" phone trees bottlenecked global support. Now, localized AI agents guide complex step-by-step blind installations.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.