Your canvas is the prompt: AI workflows built for cross-functional product teams

AI is making engineering and product team members faster, individually. But now that individual output isn't the bottleneck, the next challenge is clear: using AI collaboratively, across teams and the product delivery lifecycle, to eliminate the handoffs, re-alignment meetings, and manual context reconstruction that slow everyone down.

This live session with practical demos shows you what's different when AI is built into the space where cross-functional product work happens. We'll walk through three capabilities inside Miro's AI Innovation Workspace — with examples across sprint planning, design-to-dev handoffs, and architecture reviews.

You'll see:

• Canvas as the prompt: Your team's visual work — stickies, diagrams, specs, planning docs — becomes the AI input. No manual context assembly, and no copy-pasting into a chat window.
• Sidekicks: Context-aware AI collaborators that work alongside product, engineering, and design — grounded in what's actually on your boards, not generic chat responses.

• Flows: Multi-step automation for the workflows that bog down cross-functional teams, from sprint retro → prioritized backlog and design brief → technical spec.

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You'll walk away with:

• A clear picture of how these tools work with your existing stack — Jira, Azure DevOps, and your preferred LLM
• A quick-win workflow for a 30-day pilot plan targeting your highest-friction handoff point
• Knowledge of what metrics actually matter: such as cycle time reduction, handoff latency, and rework rate, not vanity metrics like "AI interactions generated."