July 23, 2026 | 6:00–8:30 PM
Library Bar, Fairmont Royal York, Toronto
Zafin is building the team behind the next phase of Zafin AIOS and bringing together a curated group of builders, creators, and operators in Toronto.
Meet the Zafin team, learn more about the AIOS work ahead, and explore whether your skills and ambition could be part of what we are building next.
If you are ready to move beyond AI prototypes and work on governed, real-world execution for regulated institutions, this is the room to be in.
Invitation requests are now closed
Thank you for your interest in the Zafin AIOS Builders & Creators Evening. We are no longer accepting requests to attend this event.
A curated talent evening with Zafin leadership and the team building the next phase of AIOS. The conversation will go beyond AI demos and prototypes. We will talk about the real work ahead: governed execution, agentic workflows, proof of work, human oversight, enterprise context, auditability, and control. This is also a chance to understand the skills, mindsets, and roles Zafin is looking for as we build AIOS for regulated institutions.
6:00-6:30PM
Arrival and networking
Connect with AI, product, engineering, and enterprise technology peers.
6:30-6:40PM
Why AIOS, why now
A short perspective from Zafin leadership on why the next phase of AI is governed execution, and why Zafin is building the team to make it real.
6:40-6:55PM
What we are building
A practical look at the AIOS work ahead: agentic workflows, governance, proof of work, human oversight, enterprise complexity, and the talent needed to bring it to life.
6:55-7:05PM
Who we are looking for
The profiles, skills, mindsets, and roles Zafin is looking for as we build the next phase of AIOS.
7:05-8:30PM
Curated networking
Meet the Zafin team, ask questions about the work ahead, and continue the conversation around potential fit and opportunities.
This event is designed for builders, creators, and operators interested in helping Zafin build practical AI systems for complex, regulated environments.
Applied AI engineers, forward-deployed engineers, and workflow builders ready to move beyond prototypes into production-grade execution.
People focused on making AI reliable, explainable, auditable, secure, and fit for regulated environments.
People ready to help move AI from experimentation into governed, measurable, enterprise-scale adoption.
Product managers, architects, and technical leaders who can connect customer problems, workflow design, AI capability, and enterprise scale.
Delivery leaders, business analysts, and domain specialists who understand how complex organizations turn technology into real outcomes.
