01.
Design workflow audit
We map your current process, identify repetitive tasks and assess where AI can help. You receive a prioritised plan for one useful pilot, including the inputs, responsibilities and review points.
Zensite helps design and product teams put AI to work in their existing workflow. We audit your process, configure Figma and MCP connections, build a prototype around a real task, and hand over a workflow your team can use and review. Based in Singapore and Malaysia.














Start with one useful workflow. We review how your team works, agree the pilot and success criteria, configure the tools, and test the result before handover. The scope includes a design workflow audit, Figma/MCP setup, a working prototype and practical guidance for your team.
AI-assisted design combines a designer's judgment with tools that support research, exploration and production. We can lead design delivery for your project or help your team adopt a focused AI workflow. In both cases, people review the output and make the design decisions.


No. Designers remain responsible for direction, usability and the final design decisions. Our AI workflow service helps your team adopt tools through an audit, Figma/MCP setup, a working prototype and handover. People review the output throughout.
We work with Figma and MCP-compatible AI tools such as Claude, Codex and Cursor, selecting the setup around your task and existing workflow. We review the relevant components, variables and documentation so the tools have useful design context. Tool access and subscriptions are agreed as part of the scope.
A connected AI workflow may send selected design context to the tools used in the pilot. We agree the tools, files and access with your team before setup. Tell us about confidentiality or data restrictions at the start so we can assess whether the proposed workflow is suitable.
Time savings depend on the task, your starting files and the review needed. We assess the pilot against an agreed baseline, including time spent correcting AI output and checking quality. We do not promise a fixed speed improvement.
Your team receives the workflow audit findings, configuration documentation, a working prototype and reusable instructions or examples. We walk through how to run the workflow, review AI output and maintain the setup. The agreed scope defines the exact files and handover format.
The pilot tests the agreed design workflow and demonstrates a working prototype. Production readiness depends on engineering, security, accessibility and integration requirements. We document the next steps and agree any additional implementation scope separately.