Real estate context
Client expectations, referral relationships, sensitive files and the realities of field work.
About AI Professor
Real estate experience. Systems experience. Practical AI.
AI Professor helps owner-led real estate teams find the operational gaps around their CRM, then fix the highest-cost leak without replacing the relationships or tools that already work.
Built from both sides of the problem
In the trenches before AI became a sales pitch.
Mark Shepard spent 22 years working as a REALTOR in Victoria and more than 35 years helping businesses use technology. His background began with business computing and systems work in the late 1980s, including co-founding Shepard Computer Systems, and continued through two decades of referral-driven residential real estate.
That combination matters. A process can look impressive in a diagram and still fail during a busy day, an emotional client conversation or a rushed handoff between an agent and administrator.
Mark retired his real estate licence in May 2026 to focus on helping REALTORS, teams and brokerages strengthen the operating layer around their client relationships.
The goal is not more AI. The goal is fewer missed promises, cleaner handoffs and stronger client relationships.
How the work is approached
Practical by design.
Every recommendation begins with how the team actually works, not with a predetermined platform.
Systems context
Business technology, workflow design and tools that must survive imperfect operating conditions.
No software quota
Vendor-neutral recommendations, fixed scope and clear limits on where AI should be used.
Start with the leak, not the software.
Twenty minutes to compare where follow-up, promises or handoffs may be breaking.