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Aydin Javanbakht

Business Transformation Executive | Operations, Enterprise Technology & AI

Group CRM Director · University Lecturer · Doctorate Candidate in AI in Business

I lead business transformation across operations, enterprise technology, product direction, data and AI. With 25+ years of experience, I connect business strategy, operating models and delivery priorities with the systems that make organisations work.

Portrait of Aydin Javanbakht
I believe the real value of technology lies not in its complexity, but in its ability to make organisations more effective, adaptable and intelligent.

Today, my interests lie in the changing relationship between people, business processes and intelligent systems, and in how artificial intelligence can reshape enterprise architecture, decision-making and business relationships.

Areas of Expertise

Operations & Transformation

Operating models, process improvement, commercial and service operations, governance and cross-functional leadership.

Product & Platform Leadership

Product strategy, roadmaps, business requirements, prioritisation, enterprise-platform architecture and adoption.

Project & Program Delivery

Implementation planning, delivery governance, stakeholder alignment, cross-functional coordination, rollout and change management.

AI, Data & Automation

AI strategy, enterprise agents, automation, data models, business intelligence, data quality and human oversight.

Projects

Technical & Operational Case Study · September 2026

Generative CRM — Salesforce Headless 360 MCP

From fixed CRM screens to intent-driven enterprise interfaces

Proof of concept · Published case study

Traditional enterprise systems rely on predefined interfaces and workflows, which can limit adaptability. This proof of concept pairs a governed Salesforce backend with an AI-driven interface that responds to natural-language business intent, shaping an AI-driven Service Command Center around operational questions and live CRM context. It demonstrates how generative interfaces can add flexibility while enterprise security, permissions, sharing and operational governance remain authoritative.

Technologies

Salesforce · MCP · Generative AI · Enterprise Architecture · Governance

DOI: 10.5281/zenodo.22812924

Read the Case Study →

Original Framework & Applied Concept

mCoreBrain™ / Monocentric Relationship Management

From business intent to an operating enterprise system

Research concept · Concept creator: Aydin Javanbakht

An original governance-first AI paradigm for moving from natural-language business intent to governed CRM/ERP/CX operating structures, rather than configuring enterprise systems screen by screen. Monocentric Relationship Management (MRM) defines the architectural paradigm; mCoreBrain™ is its autonomous cognitive nucleus. A business describes what it needs through text or voice, and the platform translates that intent into data structures, workflows, interfaces and business logic. Documented in the MRM and mCoreBrain™ concept paper listed under Research.

Technologies & Themes

Generative CRM · Generative ERP · Business Process Generation · AI Architecture · Enterprise Agents · Governance

Explore mCoreBrain →

Applied Platform · Ongoing Build

StockBrokerAnalyzer

AI-driven market intelligence built around a fixed, traceable methodology

An AI-agent-based market intelligence platform designed to continuously analyse and compare stock brokers using a structured set of 54 source-traceable criteria — combining automated research, structured scoring, competitive analysis and explainable market comparison into a continuously updated analytical platform.

Technologies & Themes

AI Agents · Market Intelligence · Structured Scoring · Competitive Analysis · Explainable Comparison

View StockBrokerAnalyzer →

Executive & Professional Experience

Group CRM Director — Smartbroker AG

2024–Present · Berlin

Set strategy, product roadmap and delivery priorities for the group Salesforce platform in regulated financial services. Lead AI and automation initiatives from use-case definition to production, aligning service, operations, product, compliance and technology stakeholders.

External University Lecturer — BSBI

2026–Present · Berlin

Teaching postgraduate courses in operations, logistics, manufacturing systems and AI-driven digital transformation.

Head of CRM — Ziegert Group

2021–2024 · Berlin

Defined platform strategy and implementation priorities across sales, compliance and operations, coordinating the Microsoft Dynamics rollout with business requirements. Established governance and process ownership, including KYC/KYB, e-signature and ML-supported intake processes.

Head of Operations & CRM — Life Lessons GmbH

2019–2021 · Berlin

Reshaped commercial and service operating processes, aligning business requirements, enterprise-platform priorities and delivery across Salesforce and Microsoft Dynamics. Established process ownership, data quality and governance standards to improve operational accountability.

Chief Operations Officer — SSB Ltd.

2016–2019 · Iran

Led a 35-person team in manufacturing operations, with responsibility for operational and technology priorities. Created and owned an in-house enterprise platform, defining business requirements, process logic and integrations across functions.

Operations Director / Senior Project Manager / CRM Manager — SSB Ltd.

2000–2016

Delivered 80+ CRM and ERP implementation projects across industries and countries, from business requirements and solution design through rollout and adoption. Established project and program delivery structures, governance and change approaches.

View LinkedIn for full professional history →

Research, Publications & Applied Innovation

My research explores the intersection of artificial intelligence, enterprise architecture, governance and business relationships. It connects conceptual frameworks with applied technical experimentation and real-world enterprise challenges.

The Distributed Relationship Control Model (DRCM): Mapping Control Across Humans, AI Agents, Platforms and Firms in Business Relationships

Conceptual research · 2026 · Accepted for publication

Introduces DRCM, the DENTIME dimensions and the Relationship Control Matrix.

Earlier working-paper version archived under DOI 10.5281/zenodo.22303703.

AIforce, Salesforce Headless 360 and Model Context Protocol (MCP)

Technical & operational case study · 2026 · DOI 10.5281/zenodo.22849964

Examines AI-directed Salesforce administration through a completed enterprise configuration case, including architecture selection, automation, permissions, dependency handling, validation and governance.

Read the Case Study →

Generative CRM over Salesforce Headless 360 MCP: A Technical and Operational Case Study of Intent-Driven, Runtime-Generated Enterprise Interfaces

2026 · DOI 10.5281/zenodo.22812924

Demonstrates a governed Salesforce backend paired with a dynamically generated, AI-native experience layer.

Read the Case Study →

Monocentric Relationship Management (MRM) and mCoreBrain™: Defining the Governance-First AI Paradigm for Prompt-to-System Enterprise Architecture

Concept work · current version

Defines MRM as a governance-first architecture in which business intent is translated into governed CRM/ERP/CX operating structures.

Earlier versions (lineage): v3.0 — DOI 10.5281/zenodo.17334762 · v2.0 — DOI 10.5281/zenodo.17209903

StockBrokerAnalyzer — Broker Scoring Methodology

Applied research

A structured, 54-criterion, source-traceable scoring methodology for comparing stock brokers, published and maintained on the platform itself.

View StockBrokerAnalyzer →
View all publications on ORCID →

Original Concepts & Intellectual Property

Original Framework
Monocentric Relationship Management (MRM)
Applied Concept
mCoreBrain™
Registered Intellectual Property
German DPMA Utility Model — Registration No. 20 2026 002 967.6
Research Identity

Academia

Education

Doctorate Candidate — AI in Business

SSBM Geneva, Switzerland

MBA — AI Strategy & Leadership

University of York, United Kingdom

MSc — Analytical Chemistry

Azad University, Iran

BSc — Applied Chemistry

Azad University, Iran

ORCID: 0009-0005-1371-8120 →

University Teaching

University Lecturer

Berlin School of Business and Innovation, Berlin

I teach postgraduate business and digital transformation subjects, connecting academic theory with more than two decades of practical experience in enterprise systems, operations and technology leadership.

My teaching covers operations management, logistics, manufacturing systems and AI-driven business transformation, with an emphasis on practical application and organisational impact.

International Speaking & Industry Engagement

I participate as a keynote speaker and panelist at international business and technology conferences across Europe and beyond, including Berlin, Madrid, London, Amsterdam, Vienna, and Singapore.

My speaking engagements focus on enterprise artificial intelligence, digital and business transformation, customer experience, predictive intelligence, CRM strategy, agentic systems, and the future of enterprise operations.

Conference Announcements

Photographs

Podcast

The Business Intelligence Shift podcast, hosted by Aydin Javanbakht

The Business Intelligence Shift — conversations on how AI is reshaping enterprise systems, strategy and leadership. Listen on your platform of choice.

SpotifyMain · Listen →Apple PodcastsListen →YouTubeListen →Amazon MusicListen →

Latest episode