byli studio

byli studio is a design-led AI advisory studio helping service-based businesses decide where AI fits inside real workflows, where it does not, and what should be clarified before buying, building, or expanding AI tools.

Core pages

• AI Fit Review: A fixed-price AI Fit Review for service-based businesses deciding whether to buy, expand, or keep paying for AI tools. The review examines workflow readiness, decision points, AI fit, handoff risks, and the next step worth taking.

• Selected Work: A small set of cases and frameworks showing how unclear AI ideas become clearer work, sharper decisions, and better next steps.

• AI Workflow Review Framework: A practical framework for reviewing workflows before choosing or implementing AI tools. It covers mapping the workflow, marking decisions, finding where AI fits, designing handoffs, and checking readiness.

• Designing AI for Mental Health Intake: A case study showing how an AI-supported intake concept reduced unnecessary burden, clarified where AI should support the workflow, and preserved human review where needed.

• About Li Zhou: Background on Li Zhou, founder of byli studio, UX designer and design-led AI advisor focused on AI workflow clarity, service experience, product judgment, and human-AI handoff design.

• Start the AI Fit Review: Inquiry page for service-based businesses facing an AI decision.

Key topics

• AI Fit Review

• AI workflow review

• AI adoption guidance

• Service-based businesses

• Workflow readiness

• Human-AI handoff

• Service design

• UX design

• Product strategy

• Conversational AI

• Decision support

• AI implementation readiness

Point of view

AI fits a workflow. It does not fix one.

Before a team chooses, buys, or builds an AI tool, the work should be reviewed for friction, ownership, decision points, context gaps, handoff needs, and readiness. The goal is not more AI. The goal is better work and clearer decisions.