Use cases
Practical modernization paths for data, AI, and automation
These use cases show how AcquityNode scopes work around real delivery constraints instead of generic technology buzzwords.
Start with a bounded problem and a clear delivery path
Each use case includes the target workflow, the operating constraints, and the outputs you should expect from the engagement.
01 / Lakehouse
Databricks migration
Migrate legacy data platforms to Azure Databricks, Databricks on AWS, or Databricks on Google Cloud with governed lakehouse architecture.
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02 / Fabric
Microsoft Fabric migration
Modernize reporting, data engineering, and analytics workflows on Fabric while reducing tool sprawl and manual handoffs.
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03 / AI
LLM enablement
Apply large language models to knowledge search, document intelligence, customer support, and internal productivity use cases.
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04 / Agents
Agentic AI workflows
Design AI agents that can reason across business tasks, call tools, coordinate steps, and keep humans in control.
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