Aderant accelerated Amazon Quick cloud operations 10x
Aderant deployed Amazon Quick and unified search across six heterogeneous vendor systems. The AI-powered solution made search 10x faster, while documentation could be processed 75% faster. This is what dismantling chaos in cloud operations looks like.
AI-processed from AWS Machine Learning Blog; edited by Hamidun News
Aderant used Amazon Quick, an AWS AI tool, to unify search and automate documentation workflows. Result — search runs 10x faster, document processing accelerated by 75%.
The Problem for Aderant
A typical situation in a growing tech company: data scattered across six systems from different vendors. When an engineer or documentation specialist needs information, they have to search through different interfaces, switch between tabs, spend an hour on what should take five minutes.
How Amazon Quick Helped
Amazon Quick enabled creating a single entry point for searching across the entire stack. AI-powered indexing automatically structures data from all six sources and delivers results instantly.
- Unified search across all systems at once
- Automatic indexing of documents and metadata
- Artificial intelligence suggests where to search
- Natural language support — questions instead of keywords
Practical Results
Search accelerated by 90 percent — instead of several minutes, answers arrive in seconds. Documentation that previously required manual updates is now reconciled and structured automatically by the system. This saves 75% of the time.
What This Means
For medium and large companies with multiple cloud systems, this is a practical path: instead of integrating everything on your own, you can use a ready-made AI layer on top of what you already have. Search becomes the main operation, not a bottleneck.
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Key Questions Answered
What are the key details on The Problem for Aderant?
A typical situation in a growing tech company: data scattered across six systems from different vendors. When an engineer or documentation specialist needs information, they have to search through different interfaces, switch between tabs, spend an hour on what should take five minutes.
How Amazon Quick Helped?
Amazon Quick enabled creating a single entry point for searching across the entire stack. AI-powered indexing automatically structures data from all six sources and delivers results instantly. Unified search across all systems at once Automatic indexing of documents and metadata Artificial intelligence suggests where to search Natural language support — questions instead of keywords
What are the key details on Practical Results?
Search accelerated by 90 percent — instead of several minutes, answers arrive in seconds. Documentation that previously required manual updates is now reconciled and structured automatically by the system. This saves 75% of the time.
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