Governing AI Agents: Start With an Authority Map
Before choosing an agent framework, decide what an agent may read, propose, execute and never touch. A practical method for drawing that boundary.
Insights
Insights on AI, automation and hybrid intelligence
Practical frameworks, evaluation methods and implementation guidance from the AARHIT Systems team. Written to be useful to technology leaders, practitioners and decision-makers.
How to Evaluate a Retrieval-Augmented Generation System
A RAG assistant can fail at retrieval, at reasoning or at answering. Evaluating each stage separately is the fastest way to improve quality.
RPA, AI Workflows or Agents? Choosing the Right Level of Automation
Agents are not always the answer. A decision guide for matching each process step to rules, robotic automation, AI workflows or agentic execution.
Designing Against Automation Bias in Human-AI Systems
When people trust AI outputs too readily, a human-in-the-loop becomes a rubber stamp. Interface and process choices that keep review meaningful.
Writing a Proof of Concept That Actually Decides Something
Many AI proofs of concept end in a demo and a shrug. A short charter written before the build turns them into decisions.
Why Random Splits Mislead: Validating Models the Way They Will Be Used
A model can score brilliantly in testing and disappoint in production because the test did not resemble real use. How to design validation that tells the truth.
Visual Inspection Projects: Why Conditions Matter More Than Models
Most computer vision inspection problems are solved, or doomed, by lighting, camera placement and data collection long before model architecture is chosen.
A Data Readiness Checklist Before Starting an AI Project
Most AI projects that stall do so because of data. Twelve questions to answer before committing budget, and what to do when the answers are uncomfortable.
Risk Tiering: Proportionate AI Governance That Teams Will Follow
Heavy review for every AI use drives teams around governance. Tiering uses by risk lets low-risk work move quickly and focuses scrutiny where harm is possible.
Editorial approach
How our articles are written
Articles are written by our founders, Dr. Rohit and Dr. Aarzoo, drawing on the work of our research, engineering and delivery teams.
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Our team is glad to discuss your specific situation, whether it concerns agents, evaluation, automation, data or governance.