Connect your ERP to AI. Free to start.
Sign up yourself when you are ready to explore, or request guided access when you want help shaping the first ERP workflow, OData boundary, and approval path.
Choose access pathChoose the result
Pick the operational outcome: inspect exceptions, read records, prepare approvals, or run a workflow.
Map the boundary
Define the service, fields, auth path, MCP client, and writes that must pause for confirmation.
Validate the path
Open the workspace and test the assistant path with live reads, UI, and guarded actions.
Start now
Self sign-up
Create an account and begin from the console when you already know the system or sample workflow you want to try.
- Email, Google, Microsoft, or SSO
- Best for hands-on evaluation
- Routes to workspace access after sign-up
Get help shaping it
Guided access
Share the ERP workflow, OData service, or business question and we will guide the first implementation boundary.
- Workflow-first request
- Safer first OData boundary
- Human help for the first path
Results to validate
Start with an outcome your team can recognize in daily ERP work.
The goal is not to admire generated tools. The goal is to see whether a real operator can ask, inspect, approve, and audit one useful path.
Recommended first result: blocked orders, exception queues, approval preparation, or customer-risk inspection.
Good signal: someone can finish the work with fewer exports, fewer copied IDs, and a clear approval record.
A usable ERP work path
Move one recurring question or action into an assistant flow that reads live OData records and returns something an operator can act on.
Example: find blocked sales orders, show the affected customers, and prepare the next approval step.
Reviewable answers
Replace raw JSON with tables, counts, record detail, and status panels that expose where the answer came from.
Teams can inspect the evidence before trusting the response or escalating the work.
Controlled changes
Create, update, and delete actions can stop at a confirmation screen with the operation, fields, target record, and payload visible.
The result is a safer path for useful automation without silent writes.
A security-ready boundary
The first implementation step makes visible which tools, fields, resources, credentials, and app-only helpers exist for one service.
Reviewers get a concrete capability contract instead of an abstract AI integration promise.
Business language for tools
Technical entity names can become clear actions such as find blocked orders, inspect customer risk, or prepare approval.
Operators ask for work outcomes; developers still keep the exact service boundary underneath.
One endpoint to evaluate
The same governed service can be tested from ChatGPT, Claude, Claude Code, Manus, or a custom MCP client.
Platform teams can compare clients without rebuilding the OData integration each time.
Business impact
The strongest starting point is measured by the work it removes or makes safer.
Pick one workflow that currently needs exports, manual API work, copied JSON, or risky direct updates. We shape the implementation around that result.
Decision rule
If the first workflow cannot be inspected, approved, and repeated, it is not ready for wider rollout.
Fewer custom servers
Validate whether one OData service can become MCP tools without a bespoke integration project.
Best first choice: a service your team already trusts, but still handles manually through exports or internal scripts.
Safer AI actions
Show that high-impact writes can stop at a confirmation step before they touch enterprise records.
Useful for order updates, approval preparation, master-data changes, and exception resolution.
Faster operational review
Turn raw OData responses into dashboards and structured views a business user can scan.
The page should reduce the time spent copying IDs, reading payloads, and asking developers what a field means.
Clear security handoff
Give reviewers a concrete inventory of exposed operations, field scope, auth mode, and audit path.
Security can review a working boundary, not a concept deck.
Choose the result
Anchor the first implementation to one job a user already does in ERP.
User outcome
- Blocked orders found faster
- Live records visible without exports
- Next action clear enough for review
Map the boundary
Give security and operations a concrete scope before the assistant acts.
User outcome
- Approved service only
- Fields and auth path documented
- Sensitive writes pause for approval
Validate the path
Prove the workflow is useful before expanding it to more systems.
User outcome
- Dashboard explains the record context
- Prepared action is inspectable
- Audit trail shows who approved what