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title: Your AI agent aced the demo. Your data may still derail it.
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# Your AI agent aced the demo. Your data may still derail it.

**[The New Stack](https://daily.dev/sources/newstack)** · 3 min read · 0 upvotes · 0 comments

## Summary

A webinar promotion argues that AI agents which perform well in demos often fail in production because of fragmented, stale, or ungoverned business data rather than retrieval quality. It outlines problems like inconsistent customer records across systems, outdated context, and inability to explain agent decisions, and proposes building a persistent unified business context layer instead of having agents reconstruct context per task. Ravi Marwaha of Arango will present six data requirements for moving agents from demo to production on October 14, drawing on examples from financial services and clinical research.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenewstack.io/ai-agents-production-data>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#big-data](https://daily.dev/tags/big-data), [#rag](https://daily.dev/tags/rag)

[View this post on daily.dev](https://daily.dev/posts/your-ai-agent-aced-the-demo-your-data-may-still-derail-it--pm6ws90es)

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