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WHY WE EXIST·THE GOVERNED PROTOCOL FOR ENTERPRISE AI

We're building the layer between AI and your ERP that should have existed all along.

ERP systems run the world's businesses, but were never built for AI to safely act inside them. Most teams either bolt AI on as a chatbot, or spend six months engineering a fragile custom integration with no approval gates, no audit trail, and no plan for the next model that ships. DataTether provides hardware-enforced proxy governance so neither has to be the answer.

Zero custom server development · Native MCP tool definitions on the fly

0 Rebuilds
Protocol Immunity
Runs on MCP spec directly
100% Gated
Human-in-the-Loop
Zero unreviewed writes
1 OData Core
Unchanged Systems
Zero duplicate databases
Any Agent
Client Flexibility
Claude, ChatGPT, Manus
Governance Gateway Cockpit · Active Interceptor
PROXY_ONLINE
INTERCEPTED MUTATION CALLGATE ID: #GW-98214

POST /sap/opu/odata/sap/API_SALES_ORDER_SRV/A_SalesOrder('4500008123')

Staged Atomic $batch ChangesetAWAITING APPROVAL · 9m 42s TTL
+ DR 110000 · Accounts Receivable+$42,300.00
- CR 200000 · Revenue Recognition-$42,300.00
Live Tool StreamACTIVE
✓read_vendor_list14 records · AP team scope
✓get_invoice_detailINV-2024-0891 · $42,300
◎approve_paymentSarah Chen · CFO gate—

Origin

Why custom AI integrations fail. And why we built DataTether.

For decades, integrating anything with SAP meant months of consultants, custom code, and fragile middleware. Today, we change how SAP integration is done forever. Point to your existing OData, and AI gets safe, governed hands in minutes.

STAGE 01THE 6-WEEK BUILD TRAP

A request comes in: "Let our AP team ask Claude about overdue invoices."

Six weeks later the engineering team has a half-built custom MCP server, no field-level scopes, no approval flow, no audit log — and a new leadership request to also support ChatGPT. The custom plumbing owns them forever.

6 weeks spent on custom glue code instead of business workflows
STAGE 02THE 2AM PRODUCTION INCIDENT

The MCP protocol solved wiring. It did not solve governance.

What happens when an AI assistant can actually do something inside a system of record? Who decides what it sees? Who confirms a write? Who's accountable when an unmonitored agent executes a purchase order adjustment at 2am?

0 human gates in default custom MCP server implementations
STAGE 03THE GOVERNED GATEWAY PARADIGM

Connect once. Govern everything. Let AI act within guardrails.

We built DataTether around a different starting point: let the AI act, but strictly inside the lines your team draws. And do it without writing a server, hosting fragile infrastructure, or rebuilding every time a new assistant ships.

1 unified gateway with hardware vault isolation & audit immunity

What we believe

Four beliefs we will never compromise on.

Every architectural decision we make about the platform traces back directly to one of these principles.

LAW 01ACTION WITH SAFETY

AI earns its place when it can act, safely.

Answering questions is table stakes. Real value shows up when AI can move money, post a journal, or approve a PO inside the system of record — without the team losing control of what it's doing.

Mandatory Human Gates on every mutation
LAW 02DATA SOVEREIGNTY

The ERP is the source of truth. Always.

No migration. No second database. No "AI-friendly copy" of your records. Your ERP stays exactly where it is, and DataTether works on top of it through standard OData APIs.

Zero duplicate databases or sync pipelines
LAW 03NATIVE GOVERNANCE

Governance is the product, not a feature tier.

Scope, approval, and audit aren't a checkbox tier. They're the default behaviour, on day one, for every connection — because the cost of getting this wrong at an enterprise is unrecoverable.

100% Gated by default on day one
LAW 04PROTOCOL DURABILITY

Model-agnostic, by protocol design.

The model your team uses today won't be the model your team uses in 18 months. Build once. Reuse across ChatGPT, Claude, Manus, and whatever assistant ships next.

Universal protocol compatibility

Our technical bet

Freedom to switch AI models anytime. Your ERP plumbing never changes.

Built for native MCP primitives—resources, tools, and sandboxed interactive UI apps inside chat. Not a brittle REST wrapper pretending to be an agent gateway.

Most platforms treat MCP as a connector plugin bolted onto an old ERP product. They expose only what their vendor allows, on their vendor's release cycle. DataTether is built directly on the protocol. It works with any OData service—SAP S/4HANA, ECC, or custom APIs—without locking you to one vendor's data model.

When you configure an entity, DataTether generates the complete MCP tool definition on the fly in milliseconds. Change your configuration and the definition rebuilds immediately. Zero custom servers, zero deployment friction, and zero rebuild cycles.

Any OData serviceMCP definitions generated on every config changeEvery AI call routed through a governed backendEvolves with the MCP spec
Architecture Protocol StackZERO-TRUST PIPELINE

Your AI Clients

Any MCP Agent

ChatGPT Enterprise · Claude Opus & Sonnet · Manus & Custom SDKs

MCP Protocol — DataTether Native Layer

KERNEL ONLINE
[Tools][Resources][Prompts]

Generates typed MCP definitions from your config — instantly on every change

Routes every AI call: validates auth, resolves credentials, assembles the OData request

Enforces approval gates and writes the audit record before any ERP write executes

Any OData Service

100% Zero Migration

SAP S/4HANA & ECC · Odoo ERP · Oracle Fusion · Microsoft Dynamics 365

Why DataTether

Zero custom server maintenance. Forever.

The work of connecting AI to an ERP doesn't disappear — it moves to us. Here is what that means for your team.

NO CUSTOM SERVER DEBT

Stop paying developers to babysit fragile scripts.

You aren't paying engineers to debug broken Node and Python wrappers, and you aren't paying consultants to rebuild adapters whenever protocol specs update. One connection. Zero custom server debt.

Zero custom server debt to maintain
FOR THE CIO AND AI LEAD

The protocol stays current, without your team chasing it.

MCP is young and still moving. Left to you, every release means another round of implementation, testing, and redeploy, or staying stranded on an old version. We keep you on the current protocol so that work never lands on your roadmap.

Automatic protocol spec synchronization
FOR THE BUDGET OWNER

A world-class MCP, without hiring scarce GenAI talent.

Senior gen-AI engineers are hard to find and a six-figure decision to hire. We close that gap: you get a governed, production-grade MCP for your enterprise without building a team to make and maintain it.

Avoid redundant $300k+ headcount overhead

MCP is early — that's our job, not your risk

Adopting an emerging standard inside an enterprise normally means a recurring bill: change management, regression testing, and re-rollout to a lot of people every time the protocol shifts. We absorb that churn across every customer and use case — so you get the upside of being early without the cost of keeping up.

Talk to the team

Work directly with the engineers creating the governed layer.

If your team is asking "how do we let AI help, without losing control of the system of record?" — that's the conversation we want to have. Partners who join now work directly with us to shape the platform.

Your priorities shape what ships next

Partners work directly with our engineering team. The features you need first get built first — your reality drives the roadmap.

Your real service, not a sandbox

We connect to a service that matters to your team and build the governed surface on top of it — together.

SLA and support that grows with you

From priority response times to a dedicated engineer who knows your setup — your support relationship scales as you do.

Preferential terms, locked in early

Partners who join now get preferential pricing when general availability launches. The terms you agree to today are the terms you keep.

One conversation tells you whether the fit is real. If it is, you help design what comes next.

Zero lock-in · Standard OData v2 and v4 protocol support