Beta · Proof of ConceptDBA Research · SSBM GenevaDPMA Utility Model · In Progress

The Next Generation of
CRM & ERP

mCoreBrain™ converts a single spoken sentence or typed prompt into a complete, governed enterprise operating structure — data models, roles, workflows, billing, compliance, and audit trails, in one shot.

Built on Monocentric Relationship Management (MRM) — a research-backed AI paradigm developed at SSBM Geneva.

Request Early Access →Explore the Concept
$80B+
Global CRM market
MRM v4.1
Published · Zenodo DOI
DPMA
IP Protection · In Progress
1 Prompt
Full CRM & ERP schema
The Problem

Enterprise systems are broken by design.

Organisations operate across fragmented CRM suites, ERP platforms, compliance engines, and analytics environments. Each tool optimises locally. Governance, accountability, and the full customer relationship lifecycle remain permanently distributed — data silos, rework, and blind spots are the result.

Fragmented architecture
CRM, ERP, compliance, billing, and service exist in separate silos — none sharing a unified governance layer.
🔒
No accountable AI layer
AI tools act on data but cannot construct, govern, or audit the enterprise structure itself.
♻️
Perpetual rework
Every new business requirement triggers manual reconfiguration across multiple disconnected platforms.
The MRM Paradigm

Monocentric Relationship Management

MRM is the research foundation behind mCoreBrain™. A single accountable AI controller governs the full relationship lifecycle — CRM, ERP, sales, compliance, billing, partner management, identity, and analytics — as one closed-loop operating system.

Prompt-to-System Compilation Pipeline
01
Intent Capture
Text or voice
02
Normalise
Structured intent
03
System Contract
Versioned spec
04
Generate & Validate
Schema + governance
05
Activate
Preview → approve
Governance-First
Every generated structure is validated against policy before activation. AI assists — humans approve.
Voice as a Governed Interface
Spoken intent goes through the same governance pipeline as written prompts. Voice is an input modality, not a shortcut.
Full Enterprise Scope
CRM, ERP, CX, service, compliance, billing, identity — generated as one coherent structure, not isolated modules.
Auditability & Rollback
Every prompt, generated artefact, approval, and activation is recorded. The full path from intent to system is reconstructable.
Why It Matters

A new category at the frontier of enterprise AI

The global CRM market exceeds $80 billion — yet organisations still manually configure disconnected platforms. No existing product treats enterprise relationship management as a governed AI architecture problem from the ground up.

mCoreBrain™ is not a chatbot wrapper. One prompt produces complete, governance-validated CRM and ERP operating structures: data models, roles, permissions, workflows, automations, and audit records. Model-agnostic, designed to work across leading LLM providers.

🏗️
Prompt-to-System
One conversation generates a production-grade enterprise schema — not a template, a governed system contract.
🛡️
Governance built in
Policy validation, sandbox simulation, human approval gates, and full audit trails are architectural — not add-ons.
🔬
Research-backed
Founded on doctoral research at SSBM Geneva, peer-reviewed publications on Zenodo, and IP protection at DPMA.
IP & Research

Protected, Published, and Peer-Referenced

The MRM concept and mCoreBrain™ architecture are formally documented, published on Zenodo with DOI assignment, and under IP protection through a utility model application at the DPMA— Germany's federal patent and trademark office.

🇩🇪
DPMA Utility Model
Gebrauchsmuster · Application in Progress
🎓
DBA Research · SSBM Geneva
Doctoral dissertation — enterprise AI governance & CRM architecture
⚖️
Creative Commons CC BY 4.0
Concept note openly licensed for citation and academic use
Author & ORCID
Aydin Habibi Javanbakht
ORCID: 0009-0005-1371-8120 →
Research Survey
Anonymous, voluntary, and GDPR-compliant. Follows SSBM Geneva academic ethics standards.
Survey — Opening Soon
Applied Proof of Concept
StockBrokerAnalyzer.com

StockBrokerAnalyzer.com demonstrates how mCoreBrain™ AI-agent technology can be applied beyond CRM/ERP generation: collecting public signals, structuring criteria, scoring entities consistently, and producing explainable comparison reports.

The platform currently analyzes online brokers using fixed criteria, confidence levels, and market-signal monitoring — showing mCoreBrain™ as a live, data-driven evaluation engine.

Open StockBrokerAnalyzer →

Try the Proof of Concept

Describe your business in one sentence — spoken or typed — and watch mCoreBrain™ generate a complete, governed CRM and ERP architecture in real time. Early access is open for researchers, investors, and enterprise evaluators.

Request Early Access →Sign In
mCoreBrain
Privacy PolicyImprintORCID →LinkedIn →
© 2026 mCoreBrain™ · Aydin Habibi Javanbakht · Berlin, Germany