Where doctoral research meets SMB reality
Molwin bridges peer-reviewed AI research and the specific constraints of small and medium businesses — identifying where AI measurably improves outcomes and where it doesn't.
Research rigor. Business accountability.
A PhD candidate in AI and business operations, with published research on AI adoption in resource-constrained organizations. Not theoretical — tested against actual SMB decision cycles.
Peer-reviewed publications
Research on AI integration patterns, SMB readiness frameworks, and organizational change — published and in progress.
Consulting across sectors
Strategy engagements with SMBs in professional services, operations, and retail — diagnosing where AI creates measurable return.
Teaching and speaking
Graduate instruction and conference presentations on applied AI strategy — the same frameworks used in practice.
Three ways to work together
Diagnose before you build
Evidence with a point of view
Frameworks that transfer
Graduate-level instruction and keynote presentations built around the same applied frameworks — structured for audiences that need to act on what they hear.
Structured assessment of where AI reduces cost or improves customer outcomes in your specific business — before any investment in tools or vendors.
Academic publications, practitioner essays, and commissioned research that connects AI adoption evidence to decisions SMB leaders actually face.
Bring a specific problem. Leave with a structured path.
Engagements begin with a diagnostic conversation — no scope commitment required. Consulting, speaking, and research inquiries welcome.