Insights for technology leaders

7 items shown

• Article

  AI and the rest of us: what it can do for you

  AI that helps at home is quiet, local and useful. Where it can make everyday life easier in India, and how to keep people in charge of it.

  7 min read

• Responsible AI in the Enterprise · Part 3

  Data boundaries for AI systems

  What an AI system may read, send, keep and where it may run: permission-aware retrieval, masking, provider terms and DPDP duties.

  10 min read

• Responsible AI in the Enterprise · Part 2

  A governance model for enterprise AI agents

  Six controls that let AI agents run real workflows while named people stay in charge of every step that carries risk, and how to put them in place.

  7 min read

• Responsible AI in the Enterprise · Part 4

  Human approval that scales

  How to keep human approval of AI agent actions meaningful at volume: risk tiers, clear approval cards, batching, fatigue checks and evidence.

  9 min read

• Responsible AI in the Enterprise · Part 5

  Measuring AI risk and return

  How to tell if an AI system is worth running and safe to keep: a baseline, eight measures, a risk register with owners and a one-page board report.

  11 min read

• Responsible AI in the Enterprise · Part 6

  Responding to an AI incident

  What counts as an AI incident, how to stop an agent first and investigate second, who to tell in India and the EU, and how to recover.

  10 min read

• Responsible AI in the Enterprise · Part 1

  Where AI belongs in your operating model

  Decide which work AI should assist with, automate or act on, who owns it, how it fits your controls and budgets, and where to start.

  9 min read