Before benefiting from agentic AI, companies have to get their data sources in order. Indicium, the AI and data consultancy, has just officially launched its AI Data Squads, a service to help companies execute large-scale data migrations, modernise data platforms, and improve data quality.
Supported by New York-headquartered Indicium’s IndiMesh framework/process maps, each Squad is a hybrid team that combines “highly certified” engineers and consultants with embedded AI agents, that bring “deep expertise” across Databricks, dbt Cloud, and modern data stacks, we are told.
The Squads use embedded intelligence to support planning, automate migration tasks, and streamline validation and optimisation.
Agents support key tasks throughout migration and implementation, helping teams automate repeatable steps, increase accuracy, and maintain speed and control during complex engagements. This includes prompt, architecture, pipeline, governance, MLOps, documentation, analytics, project management, and quality assurance agents.
Agents are deployed securely in customer environments with no data transferred externally, with teams accessing agents through familiar developer tools and APIs.
In a recent engagement with a “global company in the resources industry”, Indicium said it replaced more than 400 legacy notebooks and 100 inter-dependent workflows with standardised dbt models on Databricks. The project was completed in under four months, with the code migration time “reduced by over 85%”, said the provider.
“AI can accelerate delivery, but the real value comes from combining automation with hands-on expertise and platform depth,” said Daniel Avancini, chief data officer at Indicium. “Our teams bring together years of experience with Databricks and dbt, enhanced by agents that streamline the work without cutting corners. That is how we help customers modernize faster and build with confidence.”
