case-study-my-askai

qdrant-landing/content/blog/case-study-my-askai.md

@@ -3,8 +3,8 @@ draft: false
 title: "How My AskAI Built Self-Improving Support Agents with Qdrant"
 short_description: "My AskAI scaled reliable support agents on Qdrant Cloud."
 description: "Discover how My AskAI built a self-improving customer support agent platform with Qdrant Cloud, enabling scalable retrieval, hybrid search iteration, and faster operations."
-preview_image: /blog/case-study-my-askai/social_preview_partnership-my-askai.jpg
-social_preview_image: /blog/case-study-my-askai/social_preview_partnership-my-askai.jpg
+preview_image: /blog/case-study-my-askai/social_preview_partnership-my-askai.png
+social_preview_image: /blog/case-study-my-askai/social_preview_partnership-my-askai.png
 date: 2026-02-25
 author: "Daniel Azoulai"
 featured: true
@@ -19,6 +19,8 @@ tags:
 - case study
 ---
 
+![My AskAI overview](/blog/ase-study-my-askai/my-askai-bento-box.png)
+
 [My AskAI](https://myaskai.com) built a managed platform for AI customer support agents that plug directly into existing helpdesk tools like [Intercom](https://myaskai.com/ai-agent-integration/intercom) and [Zendesk](https://myaskai.com/ai-agent-integration/zendesk-tickets). The goal was to make AI behave like a reliable coworker, not a brittle chatbot. In production, My AskAI's agents are designed to resolve a large portion of inbound support requests automatically, then hand over to a human when the agent cannot answer confidently. My AskAI positions this as [deflecting around 75 percent of support requests](https://myaskai.com/blog/my-askai-edel-optics-case-study-2026) and sustaining a resolution rate in the low to mid 70s, depending on the time window and workload mix.
 
 As My AskAI narrowed its focus, the team discovered that customer support was not just a use case, it was the use case. Support data is messy, unstructured, and constantly changing. Success required strong retrieval, predictable latency, and an infrastructure layer that could scale without forcing the team to become full-time database operators. That combination ultimately led My AskAI to standardize on [Qdrant Cloud](http://cloud.qdrant.io) as the vector search backbone of its platform.