AI governance

Case Study

An AI readiness audit for product organisations: a practical, quietly opinionated look at how to prioritise AI use cases, redesign workflows, and turn scattered experiments into an adoption plan that teams can actually use.

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Diagram showing a central automation tool connecting developers, product, ops and systems like Git, CI, logs, tickets, data and messaging.

Claude Code Is Not Winning Developers With Better Chat. It Is Rewriting the Interface Between Code, Tools and Control.

Claude Code is not trying to win on prettier autocomplete. It is quietly turning the dev environment into a network of supervised agents, opinionated tools and tight permissions – a move that matters far more to real teams than another benchmark chart.

Claude Code Is Not Winning Developers With Better Chat. It Is Rewriting the Interface Between Code, Tools and Control. Read More »

Diagram showing a design system feeding AI tools, agents and human roles via MCP

Figma MCP just changed who controls “good UI”

Figma’s Model Context Protocol isn’t just another AI integration; it quietly turns your design system into machine‑readable infrastructure that AI agents now depend on. In the process, it shifts power towards whoever controls the system – designers, developers, PMs or marketers – and away from the messy, human spaces where real product judgement usually lives. This essay unpacks how MCP changes day‑to‑day work for practitioners, why “design context everywhere” is as much a governance question as a productivity promise, and what teams in India and beyond should do differently before their brand, and their judgement, are flattened into tokens.

Figma MCP just changed who controls “good UI” Read More »