Enterprise AI Control Plane

Enterprise AI,
finally under control.

Nexograph orchestrates knowledge, data, agents, models, tenants and trust in an open, secure operating layer — turning scattered tools into a measurable AI capability for your company.

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Days to proof of value
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Control layers
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Industry packages
Control Plane / Control layers
01Knowledge GraphRelationships & context
02Agent OrchestrationMany agents, operated securely
03Multi-LLM RoutingThe right model for each purpose
04Multi-TenantCentral control, local use
05Trust LayerData spaces · roles · audit
An operating layer for
KnowledgeDataAgentsModelsTenantsTrustImpact
Current situation

AI is emerging everywhere —
control is lagging behind.

Departments are testing, vendors are delivering copilots, agents are emerging. What is missing is the operating logic above them. The result is AI chaos instead of AI capability.

  • Data access becomes unclear and difficult to trace.
  • Answers are not sufficiently substantiated.
  • Agents and models run without a shared operating logic.
  • Pilotitis: many tests, little measurable value.
The main message

Nexograph does not replace your systems.
It makes them AI-ready.

We connect ERP, CRM, DMS and BI in a controlled way and place a measurable operating layer for productive enterprise AI on top — open, secure and scalable.

// OPEN

What exists stays

ERP remains ERP, CRM remains CRM. Nexograph orchestrates above it instead of replacing it.

// CONTROLLED

Controllable by design

Data spaces, roles, sources and agents become centrally controllable — not freely distributed.

// SCALABLE

One core, many use cases

Plug-ins and industry workspaces use the same platform core.

Target architecture

The Control Plane in operation

Existing systems feed in, four control layers orchestrate — secured by the Trust Layer, usable in concrete workspaces. Select a layer to learn more.

Input — existing systems & sources
ERP
CRM
DMS
BI/ DWH
Service/ QMS
ExternalMarket · regulation
Nexograph Control Plane Registry · data spaces · routing · monitoring · value
TRUST LAYER Data spaces · roles & permissions · source logic · agent approvals · audit chains · private LLMs
LAYER 01
Knowledge Graph Intelligence
Relationships between customers, products, contracts, machines and policies become usable. What matters is not the most likely answer, but the substantiated one — in the right business context.
Output — business workspaces
Sales
DMS
Reporting
Compliance
Tender
Maintenance
Differentiation

More than RAG, Copilot or Agent Builder

The differentiation is not in a single function, but in the operating logic — the layer that holds everything together.

Classic solutionLimitationNexograph answer
Chatbotanswers, but without enterprise operations Workspaces, roles, sources, value
Simple RAGfinds text, understands relationships only to a limited extent Knowledge Graph + GraphRAG
Copilotstrong only within its own ecosystem open orchestration across systems
Agent Builderbuilds individual agents agent orchestration & governance
Single LLMdependency and cost risk Multi-LLM routing
Classic multi-tenancytoo narrow for the AI context Multi-tenant AI orchestration
Value case

Nexograph has to
pay off economically.

The benefit does not come from an ROI promise, but from a portfolio of measurable value levers — made visible in the Value Cockpit.

Value case & approach
// PRODUCTIVITY

Less search time, less manual work, more reuse.

// REVENUE

Better leads, offers and cross-/up-selling impulses.

// RISK

Trust, compliance, auditability, fewer errors.

// SPEED

Reports, decisions and implementation much faster.

90-day entry

Not everything at once.
But the right thing quickly.

1 plug-in → 1 workspace → 1 pilot group → 1 measurable proof of value → scaling to a platform.