01 / In practice
Understand the system
I work through the use case and architecture with the people building and operating it. We identify assumptions, affected people and the decisions that need a legal basis.
Areas of practice
AI governance turns obligations into controls, assigned responsibilities and evidence across an AI system’s lifecycle. Ruchi Bindra advises on enterprise policies, governed architecture and readiness planning. The work connects product design, data use, oversight and review, with jurisdiction-specific advice coordinated where required rather than treating certification as a licence to practise.
The problem, made practical
01 / In practice
I work through the use case and architecture with the people building and operating it. We identify assumptions, affected people and the decisions that need a legal basis.
02 / In practice
We translate obligations into policies, responsibilities and product requirements. Each commitment needs an owner and a practical route into the organisation’s normal work.
03 / In practice
We establish the records and review points that let the organisation explain its choices. Governance should remain usable as the system and its risks change.
Before we begin
Before core design choices become difficult to change. An existing product can also be reviewed, starting with its use cases, data flows and current controls.
No. Applicable duties depend on the law, intended use, risk and the organisation’s role. Classification is a matter for assessment, not a label to assume.
Yes. Architecture reviews and conversations with engineers are part of my method. I act as counsel, translating between legal obligations and technical decisions.
Let’s start a conversation
Tell me what you are building, where it will operate, and the decision in front of you. Please leave sensitive details for an agreed channel.