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Legacy ERP AI-Readiness
Your ERP has years of business data.
Your AI projects can't use it yet.
Growing businesses run on ERPs that were built to manage operations, not feed AI. Rabble AI unlocks the data inside your legacy ERP so you can build AI projects that actually reflect how your business works, without replacing the system you depend on.
Common ERP Data Sources:
- SAP
- Microsoft Dynamics
- NetSuite
- Sage
- Epicor
The Problem?
Your ERP is your business memory. AI can't read it.
Your ERP is the system of record for everything that matters, customers, orders, inventory, financials, production history, holding years of operational insight about how your business actually runs. But that data was built for screens and reports, not AI: the schemas are rigid, the fields are cryptic, and the context is locked inside system logic.
The Answer
Rabble AI is an AI-powered Data Readiness tool that:
- Profiles what your data actually means
- Converses with your business rules through natural conversation
- Fixes issues on the fly (without touching the source)
- Delivers an AI-ready package
Contextualize your structured & unstructured marketing data for AI-readiness.
You don't need a new ERP to have AI-ready data.
The data you need for AI is almost certainly already in your current ERP. It just needs to be extracted, prepared, and structured for AI consumption. Rabble AI does that work alongside your existing system, so you can build AI projects now, and carry clean data into any future migration rather than the same accumulated problems.
Do we need to replace our ERP before we can do anything with AI?
No. Rabble AI works with your existing ERP data as-is, creating a clean, semantically rich layer on top without touching your source system. You don't need to wait for new infrastructure to start making your data understandable to AI.
We already have a BI tool pulling from our ERP. Isn't that enough for AI?
BI tools prepare your data for human analysts, structured queries, dashboards, reports. AI needs something different: data where field names, codes, and values are semantically meaningful, not just queryable. Rabble AI adds that interpretability layer on top of what your BI stack already produces, so AI tools can actually understand what the data represents.
How do you access our ERP data without disrupting our operations?
You can export the data you want assessed, and we work from that, nothing connects to or touches your production system. If you'd prefer to start small, we can begin with a specific module or a representative subset before any broader data is shared.
A lot of our important data lives in spreadsheets alongside the ERP. Can that be included?
Yes. It's one of the most common situations we encounter. Rabble AI can profile and prepare both your ERP data and spreadsheet data, so the semantic layer reflects your complete operational picture rather than just what's in the core system.
We're planning to move to a new ERP in the next year or two. Does data readiness work still make sense now?
It does. The work serves two purposes: it lets you start building with AI now using your current system, and it produces a clean, well-documented data asset that carries into your migration — rather than moving the same accumulated mess into a new platform.