From Concept to Carbon Offset Platform in Five Days

Proved a viable carbon offset platform for fleet operators in under a week.

Core platform journey enabling fleet visibility, split carbon contributions, and conversational AI support.

The Challenge

Fleet operators lacked accessible tools to measure and offset carbon emissions efficiently. The challenge was to validate whether an AI driven platform could simplify emissions tracking and make carbon offsetting actionable at scale.

Team

Worked within a small, fast moving product team spanning design, engineering, stakeholders and AI development.

Miro session translating stakeholder input into clear product direction.

The Approach

  • AI First Workflow
    Leveraged emerging AI driven design and development tools to compress discovery, prototyping, and validation into a five day sprint.


  • Rapid Product Framing

    Defined the core platform architecture, focusing on emissions tracking, reporting, and offset purchasing flows tailored to fleet operators.

  • Iterative Prototyping
    Designed and refined high fidelity interfaces daily, testing assumptions in real time and adjusting direction based on technical feasibility.

Project Challenges

  • Extreme Time Constraint
    Compressed concept validation, interface design, and platform architecture into a single working week.

  • Adopting Subframe as the Primary Design Tool
    Used Subframe to accelerate UI generation and iteration, pushing beyond traditional Figma workflows while ensuring design clarity and system coherence.


  • Scope Discipline Under Pressure
    Prioritised high value, decision critical features to maintain product viability within the sprint timeframe.

Subframe’s system driven approach, enhanced by AI, accelerated idea generation and iteration.

Subframe enabled seamless export into Cursor and Bolt, accelerating the build workflow.

How Did I Have an Impact?

How Did I Have
an Impact?

  • Led the end to end product design across the five day sprint

  • Defined the platform structure and user journey

  • Leveraged Subframe and AI tools to accelerate iteration


  • Translated sustainability objectives into a clear, usable product concept

Carbon offset flow delivered at pace without compromising design quality.

Outcomes

  • Delivered a functioning carbon offset platform prototype

  • Validated Subframe as a viable AI-accelerated design workflow

  • Established a clear value proposition for fleet operators

  • Demonstrated how AI can meaningfully compress product innovation cycles

Delivered in partnership with a delivery manager, engineer, and key stakeholders.

© 2026 Jack Anglesea - Version 1.0

© 2026 Jack Anglesea - Version 1.0

© 2026 Jack Anglesea - Version 1.0