Jidoka
The first AI agent that learns business, map workflows, identifies bottlenecks, and generates high-ROI automate blueprints.
role
CCO
Resposibilities
Branding, UI/UX, Ads Design, Marketing, Web Design/Dev
Industry
Automation
Tools
Figma, Framer, Jitter, AAE, NotebookLM
Chapter 1
Problem
In an era of rapid change caused by the development of artificial intelligence, there is a lack of comprehensive tools on the market for capturing, documenting, streamlining, and optimizing process management in enterprises.
Chapter 2
Branding
The branding positions Jidoka as an AI Automation Architect that feels like a trustworthy technical partner rather than a generic chat assistant.
Visual language and tone aim to balance engineering-grade credibility, systems and reliability, with approachability for non-technical business users.
Logo Design
The signet cleverly conceals three key meanings:
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Chapter 3
MVP
The MVP focuses on a single integrated workspace where teams can search, write, and manage knowledge with AI deeply embedded into core flows instead of added as a side panel.
Key capabilities include contextual AI search across work artifacts and AI-assisted workflows that help structure projects, notes, and decisions in one place.
Chapter 4
Marketing
I designed the visual identity from the ground up, using dark tones and futuristic typography to evoke a sense of seriousness, sophistication, and capability in every interaction
Retrospective
The project clarifies how an AI workspace can move from yet another tool to an operational layer that sits on top of existing apps and orchestrates work.
As a result, the team has a clear north star for evolving from MVP into a platform that continuously discovers automation opportunities inside client organizations.
Lessons
Early alignment on user archetypes and value metrics such as time saved, errors reduced, and fewer handoffs is critical when designing AI-first tools for real teams.
Positioning Jidoka as an automation architect rather than a generic AI chatbot helps anchor product decisions around long-term process change, not isolated features.
Tradeoffs
The MVP deliberately narrows scope to the core workspace instead of building a broad integrations marketplace from day one.
Some advanced automation scenarios were postponed to keep the first release understandable and testable with small teams under real-world constraints.