Don't lock your data to one vendor's AI roadmap
ERP vendors are building their own AI assistants, but these solutions are often locked to their specific ecosystems and limited by the models they choose to support.
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DataTether vs. Native ERP AINative ERP AI solutions are locked to their own ecosystems and specific AI models. DataTether works with any AI client (Claude, ChatGPT, Copilot, Gemini) and any OData service — whether from one vendor or a custom build. Plus, you can start today, rather than waiting for long enterprise rollout roadmaps.
Where DataTether wins
- Works with any AI client (Claude, ChatGPT, Copilot, Gemini), not one vendor's model.
- Connects multiple disparate systems, not just a single vendor's ecosystem.
- Live in minutes today, not after a multi-month enterprise rollout.
Your ERP vendor's built-in AI has one real advantage: it's already inside the product. The trade-off is everything it can't reach. Here's how that balances out.
When Native ERP AI is the right call
If you run a single-vendor ERP, are happy with that vendor's chosen AI models, and want the tightest possible native integration with no extra tooling, the built-in assistant is the path of least resistance. It's supported by the vendor and lives where your users already work.
Where DataTether pulls ahead
The cost of that convenience is lock-in: you're tied to one vendor's roadmap, one set of models, and one ecosystem. DataTether works with any AI client and any OData service, across multiple systems, so you're never waiting on a vendor's release schedule or limited to the model they picked. And you can start today instead of queuing behind a long enterprise rollout.
Native AI ties your data to one vendor's roadmap. An open MCP layer keeps your options, and your models, your own.
Start with one workflow
Bring one OData service.
Leave with a safer assistant path your team can inspect.
Safely connect AI to your ERP before your next standup.
We will help you turn a real read or approval workflow into governed AI actions, reviewable UI, reusable prompts, and confirmation gates before any sensitive write can run.
Months of dev time eliminated
Auto-generated tools replace weeks of custom MCP server development.
No infrastructure to run
Fully managed. Nothing to install, host, or maintain.
Instant dashboards and UI
Live tables, KPIs, and review screens — no frontend developer needed.
One setup, every AI client
ChatGPT, Claude, Manus, custom agents — all from the same connection.
A good first step is small: one service, one user outcome, one visible control boundary.
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