Mircea Trofimciuc

Technology executive for AI systems that survive contact with production.

I build voice agents, governed automation, compliance platforms, and enterprise architecture for teams where failure is expensive: leasing desks, dispatch floors, regulated education, and support queues drowning in repeat work.

Study the AI systems

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RealPage technology leadership

Founder-built SaaS platforms

Agents tied to real systems

Proof, not theater.

The work begins with a business wound, not a model demo. Missed calls, repetitive support, compliance exposure, and manual routing become measurable systems with transcripts, controls, ownership, and replayable decisions.

production AI systems shipped

0/7

voice and workflow coverage

zero-to-one platforms founded

audit-aware delivery posture

Built where mistakes cost money.

2022 - Present

RealPage, Inc.

VP of Technology

Leading AI transformation across property-management technology used by operators, field teams, and residents. The hard part is not a chatbot. It is aligning product pressure, security review, data access, and user trust inside a platform already running at scale.

GenAI automation platform

B2B2C CRM and MarTech intelligence

Enterprise controls and audit trails

0 -> 1 SaaS

CE Window

Co-founder and CTO

Built the technical organization and compliance platform for licensed healthcare professionals who cannot afford fuzzy requirements, stale rules, or brittle credential tracking.

Continuing-education logic

Jurisdiction-aware workflows

Product and engineering culture

B2B intelligence

RevOptica

Co-founder

Architected a buyer-journey intelligence platform that turns behavioral signals into go-to-market action without pretending that a dashboard is the same thing as a decision.

Intent modeling

Journey mapping

Signal-to-action product strategy

Operating principles.

Start with the consequence.

AI strategy gets serious only when it names the operational cost of doing nothing: lost revenue, exposed compliance, slow support, or human judgment wasted on clerical loops.

Give models governed hands.

The system must read, decide, act, and explain through real tools. MCP, audit logs, approval gates, and rollback paths matter more than a prettier prompt.

Design for the tired user.

Interfaces should reduce cognitive load at the moment work is hardest. The best automation feels less like magic and more like pressure leaving the room.

A serious AI system should leave evidence.

Transcripts. State changes. Escalations. Security decisions. Business movement. If the work cannot be inspected after the fact, it was probably a demo wearing production clothes.

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