Manual processing blocked 24/7 support. Now, an AI agent resolves routine requests autonomously, freeing staff for relationship work.
One of Germany's leading financial institutions manages digital banking services spanning from simple personal transfers to complex corporate payments.
Customers expected instant, personalized service, but complex legacy systems and strict banking regulations created friction. Routine requests for...
“We were seeing a necessity to build a bridge between what our customers expected and what our systems could deliver. We needed a new way to serve—not just faster, but smarter and more human.”
Commercial bank and financial services provider for corporate and private clients.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Commerzbank's Customer support is part of this use case:
Related implementations across industries and use cases
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
Legacy chatbots bottlenecked service teams. Now, a single AI agent handles routine workflows, routing complex queries to human experts.
Complex queries forced agents to transfer 27% of calls. AI now surfaces policy details instantly, cutting handovers to just 3%.
Legacy chatbots bottlenecked service teams. Now, a single AI agent handles routine workflows, routing complex queries to human experts.
Complex queries forced agents to transfer 27% of calls. AI now surfaces policy details instantly, cutting handovers to just 3%.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual processing blocked 24/7 support. Now, an AI agent resolves routine requests autonomously, freeing staff for relationship work.
One of Germany's leading financial institutions manages digital banking services spanning from simple personal transfers to complex corporate payments.
Customers expected instant, personalized service, but complex legacy systems and strict banking regulations created friction. Routine requests for...
“We were seeing a necessity to build a bridge between what our customers expected and what our systems could deliver. We needed a new way to serve—not just faster, but smarter and more human.”
Commercial bank and financial services provider for corporate and private clients.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Commerzbank's Customer support is part of this use case:
Related implementations across industries and use cases
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
Legacy chatbots bottlenecked service teams. Now, a single AI agent handles routine workflows, routing complex queries to human experts.
Complex queries forced agents to transfer 27% of calls. AI now surfaces policy details instantly, cutting handovers to just 3%.
Legacy chatbots bottlenecked service teams. Now, a single AI agent handles routine workflows, routing complex queries to human experts.
Complex queries forced agents to transfer 27% of calls. AI now surfaces policy details instantly, cutting handovers to just 3%.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.