Where the safety, speed, and audit trail actually come from
Letting AI act in your ERP is only safe if something trustworthy sits in the middle. That something is DataTether: the governed layer between the AI clients your team uses and the systems that run your business. Here is the shape of it — and exactly what you no longer have to build or run.
The three tiers
Every request travels the same path: an AI client asks in plain language, DataTether checks and governs it, and your ERP answers safely.
AI clients ask in plain language
DataTether — the safe hands between AI and your systems of record
One governed layer you don’t have to build or run. It checks who is asking, what they may touch, holds every write for a named human, and logs the outcome.
Your systems of record stay in control
What each tier does for you
Read it top to bottom — the value lives in the middle.
- AI clients — Claude, ChatGPT, Claude Code, Manus, or your own agents. Your people ask questions where they already work. One setup serves all of them.
- DataTether — the safe hands — the layer you don’t build or host. It authenticates the request, enforces who may touch what, holds every write for a named human, renders results your team can read, and logs the outcome.
- Your systems of record — SAP, Odoo, Oracle, Dynamics, or any OData service. They stay the source of truth; DataTether only ever does what you allowed.
What the governed layer carries
The reason this is safe — and fast — is everything DataTether handles in the middle so you don’t have to:
- Auth & credential vault — credentials are stored in a vault and resolved at request time, never handed to the AI.
- Policy & scoped access — the client sees only the entities, fields, and operations you exposed.
- Approval gates — every write waits for a named human before anything touches the ERP.
- Audit trail — identity, payload, approver, decision, and outcome logged for every action.
- Dashboards & UI — answers come back as tables, KPIs, and cards your team can read, not walls of text.
- Parallel tool calls — requests are batched and parallelized so answers stay fast even over large datasets.
What this saves you
Without a layer like this, every team rebuilds the same plumbing — a server to host, auth to wire, approvals to invent, an audit log to maintain, and a rebuild waiting with the next model. DataTether is that layer, run for you, so a connection becomes governed AI actions in an afternoon instead of a six-month project.