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Founder & Chief Intelligence Officer

Dr. Mahdi Seify

PhD · MBA · Engr. · FIoA · FHEA · PMP® · ISO/IEC 27001

Senior Lecturer & Programme Leader in Business Analytics · University of Northampton

Dr. Mahdi Seify is the Founder and Chief Intelligence Officer of VisionXY7 Ltd, an active Senior Lecturer and Programme Leader in Business Analytics at the University of Northampton, and a Fellow of the Institute of Analytics (FIoA) and the Higher Education Academy (FHEA).

His positioning bridges elite scientific research with deep operational enterprise engineering. Over a 15+ year career, Dr. Seify has successfully directed more than 100 high-impact, cross-sector industrial and governance projects valued from £12k up to £200M — spanning global development programmes for the World Bank, large-scale automation within the German Federal Health System, and mission-critical infrastructure for major national enterprises.

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Dr. Mahdi Seify — Founder & Chief Intelligence Officer, VisionXY7 Ltd

"I didn't name this company VisionXY7 by accident. Every character is a commitment."

— Dr. Mahdi Seify

Dr. Mahdi Seify speaking at Institute of Analytics — Preparing the Next Generation of Analytics Professionals

Speaking at the Institute of Analytics (IoA) — Panel: Preparing the Next Generation of Analytics Professionals

Formal Credentials

The Authority Behind
Every Deployment

Fellowship

Fellow of the Institute of Analytics (FIoA)

Highest professional recognition in data & analytics

Fellowship

Fellow of the Higher Education Academy (FHEA)

Excellence in university teaching and curriculum design

Project Management

Project Management Professional (PMP®)

PMI certification — global gold standard for project delivery

Agile & Business Analysis

PMI-ACP® · PMI-PBA®

Agile Certified Practitioner & Professional in Business Analysis

Cybersecurity

ISO/IEC 27001 Lead Auditor & Lead Implementer

Information security management system governance & audit

Risk & Analytics

CQRM · Azure AI-900 · ITIL v3

Quantitative risk management, cloud AI, and service delivery

PhD — University of Liverpool MBA Engr. FIoA FHEA PMP® PMI-ACP® PMI-PBA® ISO 27001 Lead Auditor ISO 27001 Lead Implementer CQRM Azure AI-900 ITIL v3 MIT Sloan Executive Education
£200M
Highest single programme value — World Bank M&E leadership
100+
Cross-sector projects £12k–£200M across healthcare, government & enterprise
50M+
Clinical NHS records processed — DBA doctoral research validation
15+
Years AI and systems leadership across enterprise and academia

Applied Innovation & Research Capital

Original Frameworks.
Peer-Reviewed. Operationally Proven.

Doctoral Framework

Deep Business Analytics (DBA)

An original five-step methodology combining LSTM deep learning predictive models with Sustainable Balanced Scorecard governance. Validated at the Royal Liverpool Hospital NHS Haematology Laboratory — over 50 million real-time operational data records — demonstrating pre-emptive management control superior to traditional diagnostic MCS frameworks.

University of Liverpool · NHS Validated
Original Theoretical Framework

ACI — Artificial Complementary Intelligence

Author of the ACI framework — a governance-ready reconceptualisation of AI, grounded in Gardner's theory of multiple intelligences, that positions machine systems as cognitive complements that enhance human decision-making rather than replace it.

Forthcoming: MDPI Commodities (2026)
Academic Leadership

University of Northampton · Business Analytics

Programme Leader for postgraduate Business Analytics — curriculum spanning machine learning, predictive modelling, business intelligence architecture, and AI governance.

Founder of the FASTER Group — a Faculty-wide applied innovation and industry partnership platform. Supervised extensive volumes of postgraduate dissertations on real organisational analytics challenges.

Career Timeline

15+ Years.
Delivered, Not Just Studied.

PhD
University of Liverpool

Doctoral Research — Deep Business Analytics

Developed the DBA framework. Empirical validation at NHS Royal Liverpool Hospital Haematology Laboratory — 50M+ real-time clinical records.

WB
World Bank

Strategic M&E and MIS Officer

$200M multi-ministry development initiative. Coordinated governance across 3 government ministries and 5 international consulting firms.

DE
German Federal Health System

AI Healthcare Fraud Detection Deployment

Engineered anomaly-detection AI processing 15M+ prescriptions in 5 days. ~95% validated accuracy across national-scale health infrastructure.

UoN
University of Northampton

Senior Lecturer & Programme Leader — Business Analytics

Leads postgraduate Business Analytics curriculum. Founded the FASTER Group — a Faculty-wide applied innovation and industry partnership platform.

V7
VisionXY7 Ltd — Present

Founder & Chief Intelligence Officer

Building ROI-proven AI systems for growing businesses, NHS, dental practices, and enterprise clients across the UK. Milton Keynes, Buckinghamshire.

Published Research

Books, Chapters &
Elite Journal Contributions

Published Volumes & Research Contributions

Book Chapter · 2026Forthcoming

Revolutionising Brain Tumour Detection: Integrating AI and Machine Learning for Enhanced Diagnostic Accuracy and Healthcare Efficiency

Seify, M., Moghaddam, M.J., Sarwar, D., Hansani, W.K., Thiwanthika, K., Frahmand, A., Osadugba, T., Dang, T., Hosseinian-Far, A.

Elsevier

Corporate Volume · 2010

Computer Emergency Response Team (CERT)

Rashti, M., Rashti, Z., Seify, M.

ISBN: 978-964-10-0078-5

Core Treatise · 2007

Auditing and Management of Information Security System (ISMS)

Seify, M., Sharbatoghli, A.

ISBN: 978-9-6480-6890-0

Peer-Reviewed Papers & Conference Proceedings

Advanced Sentiment Analysis for Managing and Improving Patient Experience

Pandey, A.R., Seify, M., Okonta, U., Hosseinian-Far, A.

IJERPH (Elsevier) · 2023

Utilizing Modern Analytical Approaches to Detect Fraud and Anomalies — Germany's Largest Health Auditing Company

Seify, M., Ajiboye, A., Oluwole, O.

ICMABEBR · 2022

Fraud Detection in Supply Chain with Machine Learning

Seify, M., Sepehri, M., Hosseini-Far, A., Darvish, A.

10th IFAC Conference on Manufacturing MIM · 2022

Project Management Information System Significance for Project-Oriented Organisations

Seify, M., Azadmanesh, V.

IABPAD · Hawaii, USA · 2012

Managerial Controlling System of World Bank Projects — Alborz Integrated Land & Water Management

Seify, M., Morshedi, Z.

IABPAD · Hawaii, USA · 2012

Information Security Risk Analysis — Iranian Private SMEs

Seify, M., Feizi, P.

IABPAD · Orlando, USA · 2011

Importance of KPI in BI Systems — Iranian Industries

Seify, M.

ITNG · Las Vegas, USA · 2010

Privatization Management in Iran's Electrical Industry

Seify, M., Elkhani, M., Sheikhi, A., Esfahani, M.

IASK Global Management · Seville, Spain · 2009

A Methodology for Mobile Network Security Risk Management

Seify, M., Bijani, S.

ITNG · Las Vegas, USA · 2009

Strategizing Project Portfolio Management

Sepehri, M., Seify, M.

International IPMI Conference · Cracow · 2006

New Method for Risk Management in CRM Security Management

Seify, M.

ITNG · Las Vegas, USA · 2006

Risk Management in CRM Security Management

Seify, M.

3rd Australian Information Security Management Conference · 2005

Institutional Validation

Peer Review from
Senior Academics & Industry Leaders

"

Dr. Seify's doctoral research on Deep Business Analytics demonstrates exceptional originality and rigour. His development of the Business Connectivity Map — bridging operational AI with strategic management control — is a genuinely novel contribution to the field. The empirical validation at the Royal Liverpool Hospital is a remarkable achievement.

Dr. Hossein Sharifi
Dr. Hossein Sharifi
Doctoral Supervisor · University of Liverpool
"

Mahdi brings a rare combination of engineering rigour, academic depth, and practical implementation capability. His work on AI governance frameworks — particularly the integration of ISO 27001 principles into data architecture design — is directly applicable to the most demanding critical infrastructure environments.

Dr. Neda Naghshbandi
Dr. Neda Naghshbandi
Technical Director · AtkinsRéalis
"

The DBA framework represents a paradigm shift in how management control systems can be designed for the AI age — moving from diagnostic-reactive to predictive-pre-emptive governance. Dr. Seify's theoretical contributions will have lasting impact on both academia and industry.

Prof. Amin Hosseinian-Far
Prof. Amin Hosseinian-Far
Professor · Hertfordshire Business School

How We Work

Six Operating Principles
That Cannot Be Negotiated

Delivery Before Payment

Proof of value precedes invoice. We demonstrate measurable outcomes before you commit to full deployment.

Human-in-the-Loop

AI augments; humans decide. Every automation maintains human oversight. No fully autonomous system without explicit client sign-off.

Ethics Before Efficiency

Systems that harm are not deployed. The seventh principle — where AI finally earns its legitimacy.

Modular Scalability

Built for growth, not lock-in. Every system is architected to scale independently — no forced stack migrations.

Compliance by Design

GDPR, NHS, ISO 27001, and sector-specific standards embedded from day one — not retrofitted as an afterthought.

Transparent Metrics

No black boxes. Every deployment has clear, measurable KPIs. You know what the AI is doing and why it matters.

Work With a PhD-Level AI Expert
Who Has Done It, Not Just Studied It.

Dr. Seify takes a limited number of strategic consultancy clients directly. Start with a free 20-minute discovery call.

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