What do you learn in a hands-on AI workshop?
In a Rhai workshop a team learns the vocabulary of AI, how to think about an agent as a new hire, what happens to its data, and how a dashboard goes from reporting to acting — and then each person builds something for their own work. Sessions are assembled from a library of 22 modules across five groups: Foundations, Frames, Building, Applied and Mechanics.
The full module library →What is an AI agent, in plain language?
An AI agent is a model that has been given instructions, context, tools and permission to act — closer to a new employee than to a chat window. Building one is like onboarding a smart hire: give it reading material, access and rules, then correct it for a month. Rhai teaches this as “agent to employee”.
Agent to employee →Can AI help with accounting and GST work in India?
Yes. The hours in an Indian finance function mostly go to capturing, classifying and reconciling — and that is where AI helps. Rhai teaches an AI for accounting module built around Tally and Zoho workflows and GST reconciliation, aimed at finance heads, CFOs and any business where the books are the bottleneck.
AI for accounting →What is Claude Cowork and who is it for?
Claude Cowork lets a non-technical person point an AI agent at their actual files and folders and delegate real work to it, without opening a terminal. It suits operators and functional heads. Rhai’s Mastering Cowork module covers the four jobs worth delegating first, how to brief the agent, and where it still fails.
Mastering Cowork →Why do voice agents matter for companies in India?
Because typing in English is a barrier for a large share of Indian users and field staff. A voice agent is three swappable parts — speech-to-text, reasoning and text-to-speech — and in India vernacular voice is the front door rather than a feature. It matters most for companies with field operations or an India-market product.
Voice agents →What is the difference between an intelligence dashboard and a BI dashboard?
A BI dashboard reports what happened; an intelligence dashboard also notices, explains and acts. Rhai describes five stages — input, view, analyse, insight and action — and most dashboards stop at the third. An intelligence dashboard makes the company legible to its people and to AI, briefs leaders each morning, and drafts the response.
Dashboards: from report to operator →