Not a survey of AI topics. A structured workflow — from process inspection to a defensible ROI figure — that mirrors exactly what your organization runs when launching an AI initiative.
Every other program starts after the decision. MitraAI operates at the diagnostic layer that precedes it.
MIT, Wharton, Google courses teach deployment to organizations already committed. They assume the decision is made. They address the how, not the whether.
Humans already run algorithmic processes intuitively. MitraAI makes that recognition explicit — teaching executives the instinct to see whether AI belongs in a process at all, before approving budget or deployment.
If the team presenting to you cannot categorize their problem as one of these three types, the initiative is not ready.
You have historical data and want to know what happens next. Forecasting, churn scoring, demand planning.
You have constraints and want the best allocation of resources, time, or cost. Scheduling, routing, prioritization.
You have signal buried in noise and want to surface it consistently at scale. Fraud, segmentation, document processing.
Each module's output artifact is the next module's input. This mirrors the exact workflow an organization runs when launching an AI initiative.
One email. No pitch. Just the publish date.
The difference is structure, not subject matter. No competitor organizes by deployable workflow.
The diagnostic spine is free. The implementation layer — templates, capstone, evaluation — is the paid product.
Nandeep Nagarkar is the founder of SVAG Labs and creator of MitraAI. 25+ years of enterprise technology and transformation experience. Published author on AI leadership.
MitraAI was built because no program existed that addressed the diagnostic and governance layer upstream of deployment — where most AI initiatives actually fail.
Ten modules. Full content. No email required. The application layer is there when you're ready.