AI needs structured data, not triggered workflows
Traditional integration platforms (iPaaS) are great for moving data from A to B when an event happens. But AI assistants need contextual, structured access to explore and query your data dynamically.
Request guided accessThe bottom line
Traditional integration platforms were not built for the Model Context Protocol (MCP). They cannot auto-discover your OData metadata, generate AI-native tools, or give your AI assistant structured CRUD access to your enterprise data. And they typically charge per action — we charge per connection.
| Capability | DataTetherz | Traditional iPaaS |
|---|---|---|
| Native MCP Support | ||
| Dynamic Data Exploration | Yes (AI driven) | No (Trigger driven) |
| Pricing Model | Flat per connection | Per action / task |
| ERP Metadata Auto-Discovery | Limited or manual | |
| Built-in Approval Gates for AI | ||
| Live UI Dashboards from AI |
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.
Request guided access