AI Innovation Night: Agentic Workflows in Action
- Date
- 2026-06-24
- Location
- 1 minute walk from Granville Skytrain Station, Vancouver, BC, Canada
- Host
- Personal
About this event
AI is moving fast, but the real shift is not just better models. It is what happens when those models start acting inside workflows: making decisions, coordinating tools, and helping teams move from isolated prompts to useful, repeatable systems. AI Innovation Night: Agentic Workflows in Action is built for people who want to understand that shift in practical terms and talk about it with others who are actively building, testing, and exploring what comes next. About the Event This is an in-person community gathering focused on agentic workflows, autonomy, and the real-world use of AI systems that can plan, execute, and collaborate across tasks. Rather than treating AI as a novelty, the event centers on how agent-based approaches are showing up in products, operations, prototypes, and day-to-day experimentation. Expect a format that blends learning and conversation. The goal is to create a room where people can exchange concrete ideas, compare approaches, and discuss where agentic systems are genuinely useful versus where they still need thoughtful human oversight. Because the theme is action, the event is designed to feel grounded and current. Whether you are working in AI already or trying to understand how autonomous workflows may affect your team, this is a chance to hear how others are approaching the same questions. What to Expect The evening begins at 5:30 PM PDT on Tuesday, June 23 and is structured to make it easy to both learn and connect. You can expect a mix of focused discussion, practical examples, and room for informal networking with people across the local AI and tech community. Topics are likely to center on questions such as: What makes a workflow truly agentic rather than simply automated? Where do autonomous systems add value today? How are teams thinking about reliability, guardrails, and human review? What tools, patterns, and design choices are emerging as most useful? How do you move from experimentation to something operational? This is also a strong environment for peer-to-peer learning. Some attendees may be building with AI every day; others may be evaluating what agentic systems could mean for product, operations, research, or internal processes. That range is useful. It creates better conversations than a room where everyone is solving the exact same problem. You should come prepared to listen, ask smart questions, and share what you are seeing in your own work. Even a short conversation here could save you time, sharpen your thinking, or point you toward a more effective way to structure AI-driven workflows. Why Attend If you care about AI beyond surface-level demos, this event offers a more useful lens: how intelligent systems actually get embedded into work. Agentic workflows are becoming a serious topic because they sit at the intersection of autonomy, orchestration, decision-making, and execution. Understanding that intersection matters whether you are building products, improving internal operations, or trying to anticipate where the market is heading. You will leave with a stronger grasp of the language, concepts, and tradeoffs shaping this space. That includes not only the upside of autonomous systems, but also the practical limits that determine whether something is viable in production or only impressive in a demo. There is also clear value in the room itself. Events like this work best when they bring together builders, operators, founders, researchers, and curious professionals who are all pushing on related questions from different angles. The conversations before and after the formal programming can be just as valuable as the content itself. You should attend if you want to: Better understand the current state of agentic AI Learn how others are thinking about workflow design and autonomy Pressure-test your own ideas with people who speak the language Meet others in Vancouver who are actively engaged in AI Stay close to where real experimentation is happening Practical Details This is an in-person event in Vancouver, Canada, located a 1-minute walk from Granville Skytrain Station. That makes it easy to reach by transit and convenient for anyone coming from downtown or elsewhere in the city. The event takes place on Tuesday, June 23 at 5:30 PM PDT, a timing that works well for people coming after work as well as those specifically making time to connect with the local AI community. Arriving on time will help you settle in, meet other attendees early, and get the most from the evening. Because this is a community-centered gathering, the value comes from active participation. Bring your questions, your perspective, and your curiosity about where agentic workflows are heading. If you have been looking for a sharp, practical AI conversation in Vancouver, this is a strong place to have it.
Who should attend
This event is for people who want a practical, current view of agentic AI and would rather discuss real applications than abstract hype. - You are **building with AI** and want to compare how others are approaching agents, orchestration, tool use, and workflow design. - You work in **product, engineering, operations, or innovation** and are exploring where autonomous systems can create real value inside a team or product. - You are a **founder, startup operator, or technical leader** trying to separate promising agentic patterns from ideas that are still too fragile to rely on. - You are **AI-curious but serious**, and you want to learn from people who are closer to implementation, not just theory. - You care about the **tradeoffs around autonomy**, including reliability, human oversight, and what it takes to move from experimentation to something useful. - You want to meet **other people in Vancouver working on or thinking deeply about AI**, and you value conversations that can lead to future collaborations, ideas, or opportunities. If you have been looking for a room where people are asking sharper questions about how AI actually works in practice, you will likely feel at home here.