Hands-On Lab: From Idea to Agent

Gemeinsam mit Microsoft laden wir Sie zu einem exklusiven Event ein, bei dem wir zeigen, wie Unternehmen bereits heute mit intelligenten Agents auf Basis von Microsoft Copilot Studio und Power Platform ihre Effizienz steigern, Abläufe automatisieren und echten Mehrwert schaffen.

22% higher engagement and 40% faster campaigns for a leading P&C broker

22% higher engagement and 40% faster campaigns for a leading P&C broker

A leading P&C insurance broker redefined how it engages clients, shifting from manual, rule-based outreach to an AI-driven engagement model. 

This wasn’t just about speeding up campaigns. It was about making every interaction more relevant, helping producers focus on relationships, and unlocking growth within the existing book of business. 

By embedding AI across segmentation, insights, and outreach, the organization improved both marketing effectiveness and producer productivity. 

How a P&C broker accelerated FNOL with 25% faster processing

How a P&C broker accelerated FNOL with 25% faster processing

A leading P&C insurance broker transformed its claims intake process, moving from manual, multi-channel intake to an AI-powered, structured FNOL workflow. 

This wasn’t just about speeding up intake. It was about improving data accuracy, reducing manual effort, and ensuring claims reached carriers faster and more consistently. 

By embedding AI into intake, extraction, and routing, the organization improved both operational efficiency and client experience during critical claim moments. 

How a Global Telecommunications Organization Scaled Support with Faster Resolution and Lower Costs

How a Global Telecommunications Organization Scaled Support with Faster Resolution and Lower Costs

Support teams today are overwhelmed by rising partner expectations, increasing ticket volumes, and disconnected systems that slow everything down. This case study demonstrates how a forward-thinking organization overcame these challenges with an AI-powered, omnichannel approach. 

Reimagining Third-Party Risk Management (TPRM) with GenAI

Reimagining Third-Party Risk Management (TPRM) with GenAI

Moving from periodic compliance to continuous risk intelligence 

Third-party ecosystems are expanding faster than traditional risk models can keep pace. Vendors, partners, and customers now operate at the core of enterprise value chains, influencing cybersecurity posture, regulatory exposure, and business continuity. 

Download Visionet’s latest point-of-view whitepaper to explore how Generative AI is transforming TPRM from checklist-driven compliance into continuous, intelligence-driven risk management. 

Why AI Is Becoming the First Sales Rep Your Customers Meet

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Brand visibility used to mean ranking high in search results. Buyers searched for a problem on Google, scanned a list of links, visited a few vendor websites, and gradually built an understanding of the market. 

Beyond Bots: Embedding AI directly into workflows

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For the past few years, the conversation around AI in customer service has been dominated by bots. Smarter chatbots. Faster virtual assistants. Better conversational interfaces. 

But despite all this progress, most enterprises are still asking the same question: 
Why hasn’t AI meaningfully reduced cost-to-serve or improved operational control? 

The answer is simple and often overlooked. AI has been deployed around the workflow, not within it.