At Wave by Vento in Turin, Miro CEO Andrey Khusid emphasized that integrating AI by layering it onto current workflows limits productivity gains. Companies must fundamentally redesign work and embed AI at the core of new processes to achieve meaningful improvements.
- Miro CEO urges redesigning work around AI, not just adding it on
- New workflows unify context and improve team collaboration with AI
- Accountability and ownership critical to prevent AI overload
What happened
Miro co-founder and CEO Andrey Khusid spoke at the Wave by Vento conference in Turin, calling for companies to rethink the way work is done to fully leverage AI’s potential. He stressed that simply bolting AI onto existing teams and operational systems will not deliver the productivity gains many expect.
Khusid emphasized designing workflows from first principles—embedding AI as a foundation and then adding human input where it creates the most value. Miro’s approach includes setting up AI-enhanced parallel teams initially, then scaling those optimized workflows throughout the organization.
Why it matters
Most companies today operate with complex, fragmented workflows where knowledge is fragmented across individuals rather than consolidated. Khusid noted this makes it difficult to leverage AI effectively, as context is scattered and work handoffs frequently slow progress.
By redesigning operations around unified context-sharing and AI collaboration, organizations can accelerate decision-making and empower all team members — including quieter voices — through rapid prototyping and shared accountability. This approach also helps avoid AI overload, where excessive AI-generated content can overwhelm teams and reduce efficiency.
What to watch next
Bending Spoons is set to finalize its $1.355 billion acquisition of Miro in the fourth quarter, which may accelerate Miro’s vision of AI-driven work redesign. Khusid expects AI and human collaboration will increasingly rely on voice and visual decision-making tools in the coming three years, creating new models for interactive teamwork.
As wider adoption grows, established firms face mounting pressure to rebuild their knowledge infrastructures and rethink roles to stay competitive with AI-native startups. Monitoring how Miro’s workflow-led AI integration influences enterprise productivity will provide key insights into the future of work.