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Tailored Automation in Action: How a Custom LLM Powered a Seamless ERP Transformation

Updated: Apr 21

In today’s data-rich world, automation isn’t just about speed - it’s about precision. When organizations operate across multiple systems, regions, and departments, the key to success is not just automation, but tailored automation. And that’s exactly where AI - real, applied, domain-specific AI - makes all the difference.


At Automatiq.ai, we don’t just talk about AI. We bring AI to work - building practical, deeply integrated solutions that solve real, complex problems.




The Challenge: A Fragmented ERP Landscape at Grofit


Grofit, one of Israel’s leading real estate and construction groups, was operating with separate ERP systems across 13 subsidiaries. Their infrastructure had evolved over time, creating silos of legacy data, incompatible formats, and operational inefficiencies.

Executives lacked visibility. Processes were duplicated. Teams were disconnected.


They needed to move fast—transitioning all subsidiaries to a centralized Priority ERP system - without halting daily operations.



Why AI Is Perfect for Tailored Transitions


Every ERP migration is unique. Different business units use different structures, taxonomies, and workflows. Traditional integration tools assume one-size-fits-all logic—but AI doesn’t. That’s the magic.


AI - when trained on your data and objectives - adapts.


  • It can recognize patterns and anomalies that rule-based scripts can’t.

  • It understands natural language inputs and legacy field names—even if they’re undocumented.

  • It can learn how to treat each case, rather than rely on brittle hardcoding.

  • It enables smart error handling, mapping, and validation—at scale.



In short: AI makes the transition smart, not just automated.



The Solution: A Purpose-Built LLM from Automatiq.ai


To tackle Grofit’s complex transition, we built a custom Large Language Model (LLM) designed to handle:


  • Cross-ERP data ingestion

  • Schema unification and normalization

  • Business logic interpretation

  • Smart mapping, with historical context

  • Real-time collaboration between AI and human users



This wasn’t a general-purpose model. It was tailored - specifically trained on Grofit’s data structures, naming conventions, workflows, and compliance requirements.



The Results: Smart, Accurate, and Done in 5 Months


With this tailored AI approach, Grofit didn’t just migrate 13 subsidiaries—they streamlined operations, improved financial control, and reduced project risk. The LLM allowed for:


⚡ Rapid migration without breaking workflows

🧠 Real-time validation to avoid manual review bottlenecks

📊 Unified data views for finance, logistics, and operations

🔄 Continuous feedback loops between users and the model


As covered in IT News, the solution provided decision-makers with one accurate picture of the business, and created an agile foundation for future growth.


Bringing AI to Work—Not Just to Slides


What makes this story different? We didn’t just theorize AI’s value—we built it, trained it, deployed it.


At Automatiq.ai, our mission is to turn the promise of GenAI into working systems that solve business-critical problems. Whether you’re migrating ERP systems, automating customer support, or managing complex product catalogs—your AI agent should feel like part of the team.



The Future of Tailored Automation


As Forbes notes, LLM-powered automation is the future of enterprise software—and the Grofit project is proof. Done right, AI doesn’t just speed things up. It understands, aligns, and evolves with your business.



Not sure where to start? Let’s figure it out together.



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