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Govern how AI touches your ERP

Connect AI to your ERP. Keep full control.

DataTether turns your ERP into AI-ready tools and live dashboards in hours, not months. AI gets safe, bounded access. Every sensitive change waits for a human to approve it. Your ERP stays the source of truth.

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DataTether Engine

Live governance config

Live Config
Entity: PurchaseOrdersExposed
Operation: UPDATERequires Approval
Entity: SuppliersExposed
Field: SupplierTaxID Hidden
Label MappingLIFNR → SupplierNumber
Clean Schema
Write protection active — mutation tools are confirmation gated.

AI-ready in hours

Point at your ERP. Get governed tools the same day. No integration to build, no server to write.

Live dashboards, zero code

Drag-and-drop tables, charts, and KPI cards straight from your ERP. Always current. No BI tool, no developer ticket.

Nothing changes without a human

Every write waits for a named person to review and confirm it. No surprise edits. No "who approved this?" later.

Set up once, connect everything

ChatGPT, Claude, and any MCP agent reuse the same governed access. Add a client, rebuild nothing.

Works with SAP · Odoo · Oracle · Dynamics · Any OData-compatible ERP

What is DataTether?

DataTether makes your ERP AI-ready, on your terms.

DataTether connects your ERP (SAP, Odoo, Oracle, Dynamics, or any OData system) to AI clients safely. It reads your ERP, generates governed tools and live dashboards, and controls exactly what AI sees, what needs human approval, and what gets logged. Your ERP stays the source of truth. Nothing moves. No migrations.

Governed tools, generated from your ERP automatically.

Connect your ERP once. DataTether reads the OData metadata (entities, fields, keys, operations) and generates a full set of business-ready tools. You decide what to expose: which entities, which operations, which fields.

Cryptic OData names become clear business labels. Reads, searches, creates, updates, deletes — all bounded by your rules.

What your team gets:Query records, look up details, prepare changes, call approved ERP functions — a complete governed toolset, generated for you. Zero code.

How the generation works

Toggle an entity on — DataTether writes the full MCP tool definition: typed parameter schemas, field descriptions, operation scope, and permission wrappers. Every detail, instantly.

Rename a field, hide sensitive data, restrict an operation — the tool definitions rebuild in milliseconds. No deployment step, no developer ticket, no rebuild cycle.

A custom MCP server takes a developer weeks per ERP module. DataTether generates the equivalent, for every entity you expose, the moment you click save.

Generated inventory

Business-ready MCP tools

typed schemas
filter / list

Query entity sets with OData options and selected fields.

get

Fetch one record by key — clean schema, no noise.

count / search

Count or search before loading full operational rows.

create / update / delete

Mutation tools only when operation scope allows them.

function / action

Expose approved OData function imports and actions.

service info

Return service metadata and capability summary.

Live dashboards from the same connection. No second tool.

Data only helps when the right people can see it. Build live, interactive dashboards (tables, charts, KPI cards, detail views) from the same ERP connection. Drag fields onto widgets, set filters, preview with live data, publish.

The same views can render right inside ChatGPT and Claude — so an AI answer arrives as a clean table or chart, not a wall of text. See MCP UI.

No separate BI tool
No developer ticket
No stale spreadsheets
Pick data sourceMinutes
Drag widgetsMinutes
Bind ERP fieldsMinutes
Live previewInstant
DataTether live ERP dashboard with real-time analytics charts and KPI cards

AI never changes your ERP without a human saying yes.

What if AI triggers a change you never intended? DataTether rules that out by design. Every create, update, and delete can require sign-off from a named person.

Before anything runs, the approver sees the target record, the proposed change, and the expected impact — right inside DataTether.

No write reaches your ERP without a human confirming it.No "who approved this?" questions later. Every decision logged.
DataTether approval gate showing side-by-side diff review before ERP write executes

Universal Flow

From your ERP to AI-ready: the full path.

Your ERP holds the data. DataTether reads it, cleans it, generates tools and dashboards, adds approval gates, and exposes it all through one governed MCP endpoint.

STEP 01

Your ERP

Holds your business data — SAP, Odoo, Oracle, Dynamics, or any OData system.

STEP 02DataTether Layer

Metadata discovery

Reads every entity, field, key, operation, and function your OData service exposes — no manual mapping.

STEP 03DataTether Layer

MCP definitions generated

Your configuration choices compile into fully typed MCP tool schemas (names, parameters, field permissions, response shapes) in milliseconds. No developer, no deployment cycle.

STEP 04DataTether Layer

Governed tools

Business-readable tools AI clients can query and change — bounded by the exact rules you set.

STEP 05DataTether Layer

Live dashboards

The same data, turned into live tables, charts, and KPI cards — from the same connection.

STEP 06DataTether Layer

Approval gates

Human confirmation enforced on every write path before a record is touched.

STEP 07DataTether Layer

Secure call routing

Every AI request is intercepted by the DataTether backend (identity validated, scope checked, credentials resolved, OData call assembled) before your ERP sees a single byte.

STEP 08

AI clients connect

ChatGPT, Claude, and any MCP agent operate on safe, governed, fully audited actions.

What you're avoiding

The cost of connecting AI to your ERP without the right platform.

Cost, time, governance, and accountability — every gap compounds the next. DataTether closes them from one connection.

3–6 months

Time to value

before first AI workflow runs

$150k+

Engineering cost

typical custom build cost

×N

Scale multiplier

integrations per ERP + AI combo

0

Default governance

approval controls built in

Estimates based on typical enterprise integration engagements for a single ERP module.

$150k+

Cost overrun

Senior engineers for months before AI does anything useful.

One DataTether connection replaces weeks of custom server dev.

3–6 mo.

Time to first value

Your team waits months before a single AI workflow runs in prod.

Live the same week — tools and dashboards generated automatically.

0 gates

No approval layer

AI can write directly to your ERP with no human confirmation.

Every mutation is gated — named approver confirms before execution.

No trail

No audit trail

"Who changed this?" has no answer. Compliance audits fail.

Every request, decision, and outcome logged with identity and timestamp.

Side-by-side comparison

Every challenge, solved from one connection.

Challenge
01Make ERP data usable by AI

Without DataTether

Build custom MCP servers from scratch — weeks of developer time per module.

With DataTether

Reads your ERP metadata and generates governed tools automatically in minutes.

02Control what AI can access

Without DataTether

Hand-write authorization logic for every entity, field, and operation path.

With DataTether

Point and click — select exactly which entities, fields, and operations AI sees.

03Show live data to business users

Without DataTether

Build a separate dashboard in another BI tool and fight stale data syncs.

With DataTether

Drag-and-drop dashboards from the same ERP connection. Always live, always accurate.

04Approve sensitive ERP changes

Without DataTether

Build your own approval flow, notifications, and verification from scratch.

With DataTether

Built-in human confirmation gates automatically block every unsafe write.

05Keep a full audit trail

Without DataTether

Bolt on logging as an afterthought — hard to trace, harder to audit under pressure.

With DataTether

Every request, decision, approver identity, and outcome logged from day one.

06Support multiple AI clients

Without DataTether

Rebuild the custom integration logic for every new AI client your team adopts.

With DataTether

One setup serves ChatGPT, Claude, Manus, and any MCP-compatible agent.

DataTether closes every gap from one connection, in hours, not months.

See how

What you don't pay for

Building your own MCP server is never just the server.

A "simple" custom integration carries a hidden bill — infrastructure, pipelines, testing, and a specialist hire to keep it all alive. With DataTether, none of it lands on your team.

Server & hosting

Stand up and run an MCP server (uptime, scaling, on-call, patching) for every service you connect.

Hosted and run for you. No infrastructure to own.

CI/CD pipeline

Build and maintain the pipeline that ships every change safely to production.

Config changes go live instantly — no pipeline to build.

Testing

Unit, integration, security, and regression tests — re-run on every protocol bump and every new client.

We test against the protocol so your team never has to.

Custom development & hiring

A senior gen-AI engineer to build and keep it alive — a six-figure hire that is hard to find.

A production-grade MCP without a team to staff it.

$150k+ and 3–6 months of build — replaced by one connection, included and run by us, free during the beta.

See what beta access costs

Estimates based on typical enterprise integration engagements for a single ERP module.

The full platform

More than queries — a complete integration layer.

Governed tools and dashboards are the foundation. These four capabilities turn DataTether into the only integration layer your team needs.

Visual workflow builder

Chain generated tools, conditions, data transforms, human review screens, and LLM steps on a drag-and-drop canvas. Expose the whole flow as a single MCP tool. No code required for the common case; full code access when you need it.

Explore workflows

Composite tools

Join customers, orders, and invoices across entities (inner joins, left joins, cross-entity field mapping) into a single AI tool call. No more chaining ten queries. One call, one answer, fully governed.

cross-entity joins

Parallel tool calls, optimized data loading

Answers stay fast even over large ERP datasets. DataTether batches and parallelizes tool calls and tunes how data is loaded — so your team gets a response, not a spinner, when the AI has to read across many records.

fast at scale

Per-user credential isolation

Every user stores their own ERP credentials, encrypted in a vault and resolved per request. Credentials are never held in plain text and never shared between users — so a shared AI instance still produces a per-user audit trail. Compliance by design, not by policy.

vault-isolated credentials

Four auth modes, zero custom registration

OAuth 2.1 with MCP auto-discovery, basic auth, SSO and JWT session reuse, and static tokens for CLI and automation. Every mode supported out of the box — pick the one that fits your stack.

See the security model

Product Capabilities

One connection. Tools, dashboards, and approval gates — all governed.

Pick a category to see the tools, rules, and data structures DataTether generates for you.

Governed Tools

governed tools
Query & Filter

Find what you need instantly. No manual report building.

Record Lookup

Pull single records with clean, readable schemas.

Search & Count

Get answers in seconds, not report cycles.

Mutation Prep

Creates, updates, and deletes route through approval gates.

Multi-Entity Writes

Create an order with its line items, schedules, and pricing in one call.

All-or-Nothing Safety

A rejected write leaves nothing behind — no orphaned records to clean up.

ERP Functions

Call approved service functions and actions.

Multi-Entity Query

Cross-reference customers, orders, and payments in one step.

no-code configuration

Tool Configuration

operator control
Visible Entities

AI sees only the tables and models you approve.

Allowed Operations

Toggle read, write, count, or search on and off.

Field Redaction

Hide sensitive fields from AI entirely.

Label Renaming

Turn cryptic system fields into clear business labels.

Approval Mapping

Decide which changes need human review.

Write Processing Mode

Per tool: all-or-nothing writes, or step-by-step with per-row progress.

no-code configuration

Live Dashboards

real-time visibility
Data Tables

Retire manual CSV exports and shared spreadsheets.

KPI Cards

Your key numbers, calculated for you — no mental math.

Visual Charts

Line, bar, and pie charts that update in real time.

Detail Views

Browse single records without touching the raw ERP.

no-code configuration

Data Shaping

data processing
Noise Removal

Strips technical system clutter before AI ever sees it.

Computed Values

Adds calculated fields on the fly.

Data Enrichment

Pulls related fields into a single response.

Readable Dates

Turns system date strings into dates people can read.

no-code configuration

Timeline to launch

Four steps. Live this week.

01Minutes

Connect your ERP

Add your OData service URL and pick the auth method.

02Hours

Set the boundaries

Choose the entities, fields, and operations AI sees. Set your approval rules.

031–2 days

Build your views

Create live dashboards, name your tools, add data shaping rules.

04Same week

Go live

Your team works with governed tools and dashboards — full audit trail included.

Bottom line: The DataTether setup takes hours. The bottleneck is deciding your scope and approval rules — not engineering.

From pilot to production

The stage where most AI pilots die — and how yours gets past it.

Demos are easy. Production is where governance, approvals, and audit usually stall a project for months. DataTether carries each stage so your pilot actually ships.

01

Pilot

Connect one service, generate read-only tools, prove value with a real question — in an afternoon.

02

Hardening

Add scopes, hide sensitive fields, and turn on writes behind approval gates — without re-architecting.

03

Governance

Named-approver gates and a full audit trail are already on — so security and compliance can sign off.

04

Scale

Add systems, clients, and teams on the same governed setup — the rollout most pilots never reach.

Why governance matters

The real risk is connecting AI to your ERP without governance. DataTether removes it.

DataTether puts structural boundaries between AI and your operational data — so AI can act, but only inside the lines you draw.

Start read-only. Get value from dashboards and governed queries first. Turn on write paths when your team is ready — with approvals built in from day one.

Risk

Uncontrolled AI changes to your ERP

Every write goes through an approval gate. A named person confirms before anything changes.

AI reaching data it shouldn't

AI sees only the entities, fields, and operations you approve.

Exposed credentials

Passwords and API keys stay in a vault. Resolved at runtime, never stored in plain text.

No accountability for changes

Every request, approval, and outcome is logged with identity, timestamp, and decision.

Risk growing with every new AI client

One setup governs every connected client — same rules, same boundaries.

Start where you are

Start with no developer. Bring one in when you're ready.

No-Code

ERP Admin or IT

Configure tools, build dashboards, and set approval rules through guided screens.

Low-Code

Power User

Add business rules, computed fields, enrichments, and data shaping.

Code

Developer

Write custom logic in a full in-browser editor (Monaco) running in sandboxed environments. Build custom code apps, compose advanced tools, and close any gap that no-code cannot reach — all inside the governed platform.

Frequently asked questions

Got questions? We have answers.

The most common questions from ERP managers and IT leads looking to deploy DataTether.

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vs. the alternatives

The only managed platform built specifically for OData and enterprise AI.

Every alternative leaves you with something to build, host, or maintain. DataTether occupies the only quadrant that is both deeply OData-specialised and fully managed — no competitor is here today.

Alternative

Custom MCP server

Their approach

Build per-service from scratch — weeks of dev time, then you host, patch, and maintain it indefinitely.

DataTether instead

3 minutes of config replaces 3 months of dev. Fully hosted, updated, and maintained by us.

3 min vs. 3 months

Zapier / Make

Their approach

Generic connectors with AI bolted on. Charges per action — costs grow with every query your team runs.

DataTether instead

MCP-native with full OData CRUD depth. Per-connection pricing — your whole team queries freely for one flat rate.

Predictable cost

SAP Joule

Their approach

Locked to SAP's own AI models and SAP-only services. Not available to most teams today.

DataTether instead

Works with Claude, ChatGPT, Copilot, Manus, or any MCP-compatible client. Works with any OData service. Available now.

Any AI, any OData

LangChain / LlamaIndex

Their approach

Code-first framework. No managed hosting, no UI builder, no governance layer — you build all of that yourself.

DataTether instead

No-code to full-code. Managed host, drag-and-drop UI builder, confirmation gates, and audit logging — all included.

No-code + managed

n8n / Activepieces

Their approach

Open-source automation that requires self-hosting and DevOps. Not MCP-native, shallow OData support.

DataTether instead

Zero ops — we run everything. MCP-native with deep OData support: entities, navigation properties, function imports.

Zero ops burden

Our position: Deeply specialised in OData and enterprise ERP — and fully managed. No competitor occupies this quadrant today.

Go live this week

Your ERP is ready. DataTether makes it AI-ready, safely.

Safely connect AI to your ERP before your next standup.

Connect your ERP. DataTether reads it, generates governed tools, builds live dashboards, and gates every sensitive action behind a human approval. Live the same week.

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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