Original frameworks. Peer-reviewed. Operationally proven.
Four connected concepts developed through Dr. Seify's PhD and ongoing academic work — grounded in Gardner's Multiple Intelligences, Teece's complementary-assets theory, Barney's VRIN framework, and Simons' Levers of Control.
Artificial Complementary Intelligence
Reframes "AI" as a complement to human intelligence, not a replacement — algorithms own logical-mathematical processing, scale, and real-time inference; humans retain intrapersonal, interpersonal, and ethical-existential judgment. Grounded in Gardner's Multiple Intelligences and Teece's (1986) complementary-assets logic.
Deep Business Analytics
Moves Management Control Systems (Simons' Levers of Control; Malmi & Brown) from retrospective/diagnostic to pre-emptive, predictive systems. The PhD's core technical contribution — an original five-step methodology combining LSTM deep learning with Sustainable Balanced Scorecard governance, validated at Royal Liverpool Hospital's NHS Haematology Laboratory across 50M+ real-time operational records.
Predictive Governance Architecture
A four-layer control matrix — Institutional/Legal → Socio-Technical/Data → ACI-DBA Intelligence → Human Interface — for governing AI in organisations responsibly and auditably. See how this maps to live AI governance standards →
Business Connectivity Map
Structural mapping from micro-level operational data to macro-level strategic/institutional KPIs, including sustainable balanced scorecards for Net Zero logistics.
AI Governance in practice — where PGA meets the live standards ecosystem
Predictive Governance Architecture (PGA) was developed as an academic control matrix, not a compliance checklist — but its four layers map closely onto the AI-specific standards now shaping how organisations are actually expected to govern AI. Building on ISO/IEC 27001 Lead Auditor & Lead Implementer audit methodology, I apply this mapping directly in AI Governance Audit & Implementation engagements (see Services).
Institutional / Legal layer
Operationalised by EU AI Act risk-tiering and GPAI compliance obligations, plus the UK's regulator-led approach (ICO, MHRA, FCA).
Socio-Technical / Data layer
Operationalised by ISO/IEC 23894 (AI Risk Management) and ISO/IEC 42005 (AI System Impact Assessment).
ACI-DBA Intelligence layer
Operationalised by ISO/IEC 42001 — the certifiable AI Management System standard wrapping the models and processes themselves.
Human Interface layer
Operationalised by the NIST AI Risk Management Framework's Govern–Map–Measure–Manage cycle and human-in-the-loop (HITL) oversight.
Why "Artificial Intelligence" is a misleading label
AI extends specific cognitive capabilities — logical-mathematical processing, linguistic pattern recognition, scale — but cannot touch existential, intrapersonal, or creative-synthesis intelligence. AI trends toward homogenisation, not differentiation: it fails Barney's VRIN test for sustainable competitive advantage because it is replicable, scalable, and rapidly commoditised. Sustainable advantage comes from the human system around AI — culture, purpose, and judgment.
By 2034, AI will be everywhere. Humanity will be the true differentiator — grounded in wisdom, judgment, ethics, culture, and meaning.
Books, chapters & journal contributions
Books & Chapters
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.
Computer Emergency Response Team (CERT)
Rashti, M., Rashti, Z., Seify, M. — ISBN: 978-964-10-0078-5.
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. — GP Classification in Northamptonshire.
Utilizing Modern Analytical Approaches to Detect Fraud and Anomalies
Seify, M., Ajiboye, A., Oluwole, O. — Germany's Largest Health Auditing Company.
Fraud Detection in Supply Chain with Machine Learning
Seify, M., Sepehri, M., Hosseini-Far, A., Darvish, A.
Project Management Information System Significance for Project-Oriented Organisations
Seify, M., Azadmanesh, V.
Managerial Controlling System of World Bank Projects — Alborz Integrated Land & Water Management
Seify, M., Morshedi, Z.
Information Security Risk Analysis — Iranian Private SMEs
Seify, M., Feizi, P.
Importance of KPI in BI Systems · New Method for Risk Management in CRM Security
Seify, M.
Privatization Management in Iran's Electrical Industry
Seify, M., Elkhani, M., Sheikhi, A., Esfahani, M.
A Methodology for Mobile Network Security Risk Management
Seify, M., Bijani, S.
Strategizing Project Portfolio Management
Sepehri, M., Seify, M.
Risk Management in CRM Security Management
Seify, M.
University of Northampton · Business Analytics
Dissertations Supervised
Postgraduate research on real organisational analytics challenges.
Live Sensor Streams
Smart City / Net Zero analytics delivered from real-time IoT data.
FASTER Research Group
Founded the FASTER (Future Analytics, Systems, Technology & Emerging Research) Research Group — the university's first applied analytics research lab simulating industry environments.
Available for AI consultancy, research & speaking engagements
I take on a limited number of consultancy and contract-based AI projects alongside academic research collaborations, guest lectures, and panel discussions — mostly in AI strategy, governance, and predictive analytics.