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Prompt2Pipeline
AI Migration Agents for Databricks 

Built by Indicium AI. Proven in enterprise delivery.

Cut migration time, raise quality and scale
modernization for business impact.

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Migrate legacy tables 7x faster. Standardize code. Govern by design.

Prompt2Pipeline automates legacy table migration on Databricks with AI agents that plan, generate, and enforce best practices — so your team ships value faster with less risk. Ship production-ready pipelines with built-in governance and observability.

Challenges
in Legacy Table Migrations

  • Legacy table migrations move slowly and block critical initiatives
  • Dependency on a few developers creates single points of failure and delays
  • Manual code conversion lowers quality and breaks compliance with best practices
  • Engineers waste time on repetitive work instead of innovation

How Prompt2Pipeline Revolutionizes
Your Data Modernization

Prompt2Pipeline accelerates migration with AI agents powered by Indicium AI’s intellectual property built from years of successful projects. Our expertise automates legacy table migration, optimizes workflows, and ensures high-quality, scalable, and compliant results, all while adhering to industry best practices.

What You Get

Prompt2Pipeline standardizes legacy conversion end to end. AI agents plan, generate code, and enforce governance.


Codified expertise

AI agents powered by Indicium AI’s IP, replicating best practices from industry experts.


AI-powered planning

Analyzes dependencies and sets the optimal migration path.


Deterministic generation

Standardized, compliant, production-ready code for seamless deployments.


Repeatable best practices at scale

Factory model that ensures consistency across workloads.


Built for Databricks

Lakehouse, Unity Catalog, Lakeflow, Mosaic, and our Master Planner operate as the backbone of the solution.

De-risk Your Roadmap

A strategic AI that analyzes your legacy ecosystem and outputs a data-driven migration plan. You see:

 Full legacy inventory and lineage
Technical complexity scores
Optimized sequence by value vs. complexity
A prioritized backlog you can execute now

Replace months of subjective planning with a plan that maximizes ROI and reduces risk.

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Governance Built-In,
Quality Guaranteed

Every pipeline created by AI Migration Agents comes with built-in governance, metadata, and traceability, enforced through Databricks’ Unity Catalog and Lakeflow Declarative Pipelines. This ensures that your data is clean, compliant, and ready for real-time AI applications from day one.

What’s different:

01

End-to-end governance

Every pipeline is automatically equipped with metadata, lineage, and validation tests. Standard rules, consistent output.

02

Clear, actionable insights

Real-time observability that ensures compliance and transparency throughout the migration process.

03

Zero surprises

From the start, everything is tracked, validated, and ready to scale. Faster
sign-off with fewer back-and-forths.

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Aura Minerals

7x Faster Pipeline Migrations

Aura cut pipeline migration time from 45 hours to just 6 with Indicium AI’s AI Migration Agent and AI Data Squads. The result: faster analytics, stronger governance, and a more agile data operation on Databricks. Aura now scales modernization as a repeatable process while top engineers focus on higher-value work.

“This wasn’t just a migration. It was a transformation that positioned us for the future. We now have a governed platform that empowers our teams to move faster and build smarter — with AI at the core.”

Richard Massari, Aura’s Director of Operational Excellence, Digital, and Innovation

 

The Databricks Partner for Real Execution

Indicium AI combines deep architectural expertise with a global delivery model focused on precision, speed, and measurable impact. Backed by Databricks Ventures and trusted by industry leaders, we turn modernization and AI adoption into repeatable, scalable success.

+8

years of experience in the Modern Data Stack

+510

certified data & AI professionals worldwide

+150

Databricks certifications across teams

+500k

hours in Databricks projects at enterprise scale 


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