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
HMR Infotech
Principal Architect
Articles by HMR Infotech's principal architects, who lead our cloud, automation, AI and security engagements from assessment to handover.
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