Climaty AI - agentic WEBSITE
An AI-native marketing operations platform that integrates sustainability into campaign planning, reporting, optimisation, and governance through connected intelligent agents.
Industry
Marketing Technology
My Role
Product Designer
Team
Vigneshwar
Garima Srivastava
Timeline
Jan 2026 – Feb 2026
Climaty AI is an agent-driven platform designed to help teams manage campaign operations through intelligent automation. The system integrates sustainability into planning, reporting, governance, and optimisation workflows.
The goal was to transform sustainability from a reporting task into an operational layer that supports real-time decision-making.
As campaign ecosystems scale, teams face:
Fragmented tools across workflows
Sustainability data disconnected from operations
Delayed reporting after campaign completion
Limited visibility into AI-driven actions
Increasing operational complexity
Sustainability needed to become part of the workflow, not an external process.
Climaty AI introduces an agentic ecosystem that connects campaign operations across reporting, analytics, planning, governance, and optimisation.
The platform makes AI responsibilities transparent, structured, and operationally trustworthy while embedding sustainability into daily workflows.
The system was designed around clarity, transparency, and scalability.
Key principles included:
System-based architecture
Clear information hierarchy
Operational visibility for AI actions
Simplified multi-workflow navigation
Interactive feedback through motion
Rive animations were integrated to enhance interactivity, system feedback, and user understanding across key workflows.
I contributed to the complete product design and motion experience.
This included:
End-to-end UX and UI design
Information architecture
Design system alignment
Enterprise workflow structuring
Interaction design
Rive animations for enhanced interactivity
Motion design for system feedback and clarity
After implementation, the platform helped teams:
Reduce operational workflow time by streamlining campaign planning and reporting
Improve decision-making speed with real-time sustainability visibility
Increase campaign optimisation efficiency through AI-driven recommendations
Reduce manual reporting dependencies across teams
Improve cross-team alignment with transparent AI actions
The system shifted sustainability from post-campaign reporting to live operational visibility.