For this insurance company, customer support meant more than handling a high number of customer calls. A team of 500+ agents handled 8,000+ interactions every day, with call documentation and policy updates following those conversations. That created a steady stream of repetitive work for the team. The client wanted to simplify this workflow and take some of that work out of the agents’ hands.
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Our client is a US-based auto insurance provider managing a high volume of accident-related claims every day. Fraud screening was largely a manual process for them. Their team was spending considerable time manually reviewing claims and the information surrounding them. This made it harder to keep up with the workload.
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A global manufacturer automated its entire RFQ flow—from unstructured email requests to structured supplier negotiations—using AI agents, n8n, Airtable, and Gmail. The solution transformed a slow, error-prone process into an AI-orchestrated workflow that boosts speed, consistency, and supplier reach.
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The enterprise that had launched its website using prompt-based AI builders was confronted with serious limitations regarding data control, interactivity, and backend functionality. To bring the system out from the shackles of such limitations, we helped install a secure, highly scalable .NET Core backend that enabled dynamic forms, admin controls, API integrations, and business process automation.
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A high-frequency AI newsletter brand built a fully automated content pipeline using GPT-4, DALL·E, and n8n—achieving scalable, on-brand publishing with minimal human effort, faster content cycles, and a significant boost in ROI.
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A high-velocity SaaS team eliminated manual overhead and task ambiguity conversions by putting unstructured Slack requests into fully structurized ClickUp tasks—an intake enforcement of execution clarity-agentized with GPT-4 and n8n so teams together could align faster.
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A toll automation provider replaced manual vehicle categorization with an AI-based computer vision system that detects, classifies, and counts vehicles in real time. By leveraging YOLOv8 and Faster R-CNN models, their legacy video feeds turned into dynamic tolling engines—accurate, scalable, and fast.
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One growing IT services company made the most of its two-dimensional website by turning it into a working sales generator. By embedding an AI chatbot powered by GPT-4 and RAG, queries were answered, leads were generated, and meetings were booked-all automatically. So with this, every single visitor has the potential to grow into a qualified lead, and that happens without manual follow-ups.
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