FynloAI - From Concept to Carbon Offset Platform in Five Days

/Role

Lead Product Designer — product framing, UX flows, UI design, visual direction, stakeholder alignment, and AI-accelerated prototyping.

/Context

AI-led SaaS platform concept for carbon offsetting, shaped through a five-day product sprint.

/Impact

Turned an early SaaS idea into a working platform concept, creating a clearer product narrative for future investment conversations.

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

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.

Set the visual and product design direction within a small, fast-moving team spanning engineering, AI development, and client stakeholders. Operated as the sole designer across the sprint, iterating directly with engineering and reviewing output at pace to maintain quality within a compressed delivery cycle.

Miro session

Miro session translating stakeholder input into clear product direction.

  • AI First WorkflowLeveraged emerging AI driven design and development tools to compress discovery, prototyping, and validation into a five day sprint.
  • Rapid Product FramingDefined the core platform architecture, focusing on emissions tracking, reporting, and offset purchasing flows tailored to fleet operators.
  • Iterative PrototypingDesigned and refined high fidelity interfaces daily, testing assumptions in real time and adjusting direction based on technical feasibility.
  • Extreme Time ConstraintCompressed concept validation, interface design, and platform architecture into a single working week.
  • Adopting Subframe as the Primary Design ToolUsed Subframe to accelerate UI generation and iteration, pushing beyond traditional Figma workflows while ensuring design clarity and system coherence.
  • Scope Discipline Under PressurePrioritised high value, decision critical features to maintain product viability within the sprint timeframe.
Subframe's system driven approach

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

Subframe enabled seamless export

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

Led all product design across a five-day sprint, working within a defined product direction to deliver a high-fidelity platform concept at pace.

Rapidly adopted Subframe as the primary design tool — getting to production-quality output quickly in an unfamiliar environment was a deliberate constraint of the sprint, and one that directly informed how AI-assisted tooling can compress delivery cycles without sacrificing design quality.

Translated the platform's core value proposition into clear, usable flows — emissions tracking, offset purchasing, and fleet visibility — ensuring the concept was legible to both end users and stakeholders evaluating it commercially.

Delivered a working prototype that contributed to the overall concept securing further investment, validating the sprint model as a viable approach to early-stage product validation.

Carbon offset flow

Carbon offset flow delivered at pace without compromising design quality.

Delivered a high-fidelity, working platform concept within five days — covering fleet visibility, carbon tracking, and offset purchasing flows.

The overall concept secured further investment following the sprint, validating the approach and the product direction.

Established Subframe as a viable tool within the Dootrix design workflow, with practical learnings around where AI-assisted tooling adds speed without compromising design integrity.

Demonstrated that structured sprint delivery, with clear scope discipline, can produce investor-ready product concepts without the overhead of a traditional discovery phase.